ENGINATICS SYSTEM_ADMINISTRATOR SYSADMIN A8576D437D9C52DEE0530100007F5406 MSC Buyer Name Y select distinct msi.buyer_name value, null description from msc_apps_instances@A2M_DBLINK mai, msc_plans@A2M_DBLINK mp, msc_plan_organizations@A2M_DBLINK mpo, msc_system_items@A2M_DBLINK msi where mai.instance_code = :$flex$.planning_instance and mp.sr_instance_id = mai.instance_id and mp.compile_designator = :$flex$.plan and mpo.sr_instance_id = mp.sr_instance_id and mpo.plan_id = mp.plan_id and (:$flex$.organization is null or xxen_util.contains(:$flex$.organization,mpo.organization_code) = 'Y' ) and msi.sr_instance_id = mpo.sr_instance_id and msi.plan_id = mpo.plan_id and msi.organization_id = mpo.organization_id and msi.buyer_name is not null order by lower(msi.buyer_name) AR إرجاع قائمة بأسماء المشتري ASCP D Gibt die Liste der ASCP-Käufernamen zurück E Devuelve la lista de nombres de compradores de ASCP F Renvoie la liste des noms d'acheteurs de l'ASCP I Restituisce l'elenco dei nomi degli acquirenti ASCP JA ASCPバイヤー名のリストを返します KO ASCP 구매자 이름 목록을 반환합니다. PTB Retorna a lista de Nomes de Compradores ASCP RU Возвращает список ASCP имен покупателей S Returnerar listan över ASCP-köparnamn TR ASCP Alıcı Adlarının listesini verir US Returns the list of ASCP Buyer Names ZHS 返回ASCP买方名称列表 A85770BE6AD052E2E0530100007F2871 MSC Category Set Y select mcs.category_set_name value, null description from msc_apps_instances@A2M_DBLINK mai, msc_category_sets@A2M_DBLINK mcs where mai.instance_code = :$flex$.planning_instance and mai.instance_id = mcs.sr_instance_id and exists (select null from msc_item_categories@A2M_DBLINK mic where mic.sr_instance_id = mcs.sr_instance_id and mic.category_set_id = mcs.category_set_id ) order by lower(mcs.category_set_name) AR تُرجع قائمة مجموعات فئات ASCP D Liefert die Liste der ASCP-Kategoriesätze E Devuelve la lista de conjuntos de categorías ASCP F Retourne la liste des ensembles de catégories ASCP I Restituisce l'elenco dei set di categorie ASCP JA ASCPカテゴリセットのリストを返します KO ASCP 범주 세트 목록을 반환합니다. PTB Devolve a lista dos conjuntos de categorias ASCP RU Возвращает список наборов категорий ASCP S Returnerar listan över ASCP-kategorisatser TR ASCP Kategori Kümelerinin listesini verir US Returns the list of ASCP Category Sets ZHS 返回ASCP类别集的列表 A85776F7DF3D52E0E0530100007F6064 MSC Category within a specified Category Set Y Y select distinct mic.category_name value, null description from msc_apps_instances@A2M_DBLINK mai, msc_category_sets@A2M_DBLINK mcs, msc_item_categories@A2M_DBLINK mic where mai.instance_code = :$flex$.planning_instance and mai.instance_id = mcs.sr_instance_id and mcs.category_set_name = :$flex$.category_set and mcs.sr_instance_id = mcs.sr_instance_id and mcs.category_set_id = mcs.category_set_id order by lower(mic.category_name) AR تُرجع قائمة فئات ASCP ضمن مجموعة فئات محددة D Liefert die Liste der ASCP-Kategorien innerhalb eines angegebenen Kategorie-Sets E Devuelve la lista de categorías ASCP dentro de un conjunto de categorías especificado F Renvoie la liste des catégories ASCP dans un ensemble de catégories spécifié I Restituisce l'elenco delle categorie ASCP all'interno di un set di categorie specificato JA 指定されたカテゴリセット内のASCPカテゴリのリストを返します。 KO 지정된 범주 집합 내의 ASCP 범주 목록을 반환합니다. PTB Retorna a lista de categorias ASCP dentro de um conjunto de categorias especificado RU Возвращает список категорий ASCP в пределах указанного набора категорий. S Returnerar listan över ASCP-kategorier inom en angiven kategorisats TR Belirli bir Kategori Kümesi içindeki ASCP Kategorilerinin listesini verir US Returns the list of ASCP Categories within a specified Category Set ZHS 返回指定类别集中的ASCP类别列表。 AAA5D8BD7C4505E3E0530100007F3EC3 MSC Plan Preference Y select mup.name value ,null description from msc_user_preferences@A2M_DBLINK mup ,fnd_user@A2M_DBLINK fur ,fnd_user ful where mup.user_id = fur.user_id and fur.user_name = ful.user_name and ful.user_id = fnd_global.user_id order by mup.name AR مجموعات تفضيلات خطة ASCP المحددة للمستخدم الحالي D ASCP Plan Preference Sets, die für den aktuellen Benutzer definiert sind E Conjuntos de preferencias del plan ASCP definidos para el usuario actual F ASCP Plan Preference Sets définis pour l'utilisateur actuel I Set di preferenze del piano ASCP definiti per l'utente corrente JA 現在のユーザーのために定義されたASCPプラン環境設定セット KO 현재 사용자에 대해 정의 된 ASCP 계획 환경 설정 세트 PTB Conjuntos de Preferências do Plano ASCP definidos para o usuário atual RU ASCP Plan Preferences Sets defined for the current user S ASCP-planinställningsuppsättningar definierade för den aktuella användaren TR Mevcut kullanıcı için tanımlanan ASCP Plan Tercih Kümeleri US ASCP Plan Preference Sets defined for the current user ZHS 为当前用户定义的ASCP计划偏好集。 A844FAB91C4F7309E0530100007F496B MSC Planned Item Y Y select msi.item_name value, min(msi.description) description from msc_system_items@A2M_DBLINK msi, msc_plans@A2M_DBLINK mp, msc_apps_instances@A2M_DBLINK mai where msi.sr_instance_id = mai.instance_id and msi.plan_id = mp.plan_id and mp.sr_instance_id = mai.instance_id and mp.compile_designator = nvl(:$flex$.plan,mp.compile_designator) and mai.instance_code =:$flex$.planning_instance group by msi.item_name order by lower(msi.item_name) AR تُرجع قائمة عناصر ASCP المخططة D Liefert die Liste der ASCP Planned Items E Devuelve la lista de elementos planificados de ASCP F Renvoie la liste des articles prévus par l'ASCP I Restituisce l'elenco degli elementi pianificati ASCP JA ASCP 予定項目のリストを返します KO ASCP 계획 품목 목록을 반환합니다. PTB Retorna a lista de itens planejados da ASCP RU Возвращает список запланированных элементов ППКП S Returnerar listan över ASCP-planerade objekt TR ASCP Planlanan Öğelerin listesini döndürür US Returns the list of ASCP Planned Items ZHS 返回ASCP计划项目的列表 A85765FE708251D8E0530100007FCD1D MSC Planner Code Y select distinct mpl.planner_code value, null description from msc_apps_instances@A2M_DBLINK mai, msc_plans@A2M_DBLINK mp, msc_plan_organizations@A2M_DBLINK mpo, msc_planners@A2M_DBLINK mpl where mai.instance_code = :$flex$.planning_instance and mp.sr_instance_id = mai.instance_id and mp.compile_designator = :$flex$.plan and mpo.sr_instance_id = mp.sr_instance_id and mpo.plan_id = mp.plan_id and (:$flex$.organization is null or xxen_util.contains(:$flex$.organization,mpo.organization_code) = 'Y' ) and mpl.sr_instance_id = mpo.sr_instance_id and mpl.organization_id = mpo.organization_id order by lower(mpl.planner_code) AR تُرجع قائمة رموز مخطط ASCP D Gibt die Liste der ASCP Planner Codes zurück E Devuelve la lista de los códigos de planificación ASCP F Renvoie la liste des codes de planificateurs de l'ASCP I Restituisce l'elenco dei codici ASCP Planner JA ASCPプランナーコードのリストを返します。 KO ASCP 계획자 코드 목록을 반환합니다. PTB Retorna a lista de Códigos de Planejamento ASCP RU Возвращает список кодов Планировщика ASCP S Returnerar listan över ASCP-planeringskoder TR ASCP Planlayıcı Kodlarının listesini döndürür US Returns the list of ASCP Planner Codes ZHS 返回ASCP规划师代码的列表。 A8454EC5D1EB6FE9E0530100007F0874 MSC Planning Instance Y select instance_code value ,null description from ( select instance_code from msc_apps_instances union select instance_code from mrp_ap_apps_instances_all ) order by instance_code AR تُرجع قائمة مثيلات تخطيط ASCP D Gibt die Liste der ASCP-Planungsinstanzen zurück E Devuelve la lista de instancias de planificación ASCP F Renvoie la liste des instances de planification de l'ASCP I Restituisce l'elenco delle istanze di pianificazione ASCP JA ASCPプランニングインスタンスのリストを返します KO ASCP 계획 인스턴스 목록을 반환합니다. PTB Retorna a lista de Instâncias de Planejamento ASCP RU Возвращает список случаев планирования ASCP S Returnerar listan över ASCP-planeringsinstanser TR ASCP Planlama Örneklerinin listesini verir US Returns the list of ASCP Planning Instances ZHS 返回ASCP规划实例的列表 8E2FF36EDEA679D2E0530100007F1FF2 Yes Y select 'Y' id, xxen_util.meaning('Y','YES_NO',0) value, null description from dual US A99ECB8D45841D2CE0530100007F03D0 with mfg_sd_lookups as ( select ml.lookup_code, ml.meaning from msc_apps_instances&a2m_dblink mai, msc_plans&a2m_dblink mp, mfg_lookups&a2m_dblink ml where mp.sr_instance_id = mai.instance_id and mp.compile_designator = :p_plan_name and mai.instance_code = :p_instance_code and ( ( mp.plan_type != 4 -- ASCP Plan and ml.lookup_type = 'MRP_HORIZONTAL_PLAN_TYPE_SC' and ml.lookup_code not in (97,82,125,170,180,190) and (( nvl(fnd_profile.value&a2m_dblink ('MSC_ASCP_IGNORE_CMRO_EAM_WO'),1) = 1 and ml.lookup_code not in (295,330,305,310,315,320,325,335,340,345,350) ) or (nvl(fnd_profile.value&a2m_dblink ('MSC_ASCP_IGNORE_CMRO_EAM_WO'),1) = 2 ) ) and (( fnd_profile.value&a2m_dblink ('MSC_HP_EXTENSION_PROGRAM') is null and ml.lookup_code not in (500) -- custom user defined ) or (fnd_profile.value&a2m_dblink ('MSC_HP_EXTENSION_PROGRAM') is not null ) ) and NVL(xxen_msc_horizplan.get_pref_option(mp.plan_type,:p_pref_name,ml.lookup_type,ml.lookup_code),'Y') = 'Y' ) or ( mp.plan_type = 4 -- IO Plan and ml.lookup_type = 'MSC_HORIZONTAL_PLAN_TYPE_IO' and (( fnd_profile.value&a2m_dblink ('MSC_HP_EXTENSION_PROGRAM') is null and ml.lookup_code not in (500) -- custom user defined ) or (fnd_profile.value&a2m_dblink ('MSC_HP_EXTENSION_PROGRAM') is not null ) ) and NVL(xxen_msc_horizplan.get_pref_option(mp.plan_type,:p_pref_name,ml.lookup_type,ml.lookup_code),'Y') = 'Y' ) ) union select 900 lookup_code, 'PAB Days Stock Cover' meaning from dual&a2m_dblink where nvl(:p_metric,'Horizontal Plan') = 'PAB Days Stock Cover' ), hp3 as ( select hp2.planning_instance, hp2.plan_name, hp2.organization, hp2.organization_name, hp2.operating_unit, hp2.item, hp2.item_description, hp2.category_set, hp2.category, hp2.item_uom, hp2.report_uom, hp2.uom_conversion, hp2.make_buy "Make/Buy", hp2.planner, hp2.buyer, hp2.dashboard_metric, hp2.supply_demand_code, hp2.supply_demand_type, hp2.aggregation_level, hp2.aggregation_label, hp2.bucket_date, hp2.pn period_num, hp2.wn week_num, hp2.dn day_num, -- -- quantities -- hp2.quantity, -- case hp2.supply_demand_code when 110 then hp2.week_qty_last when 120 then hp2.week_qty_last when 130 then hp2.week_qty_last when 150 then hp2.week_qty_last when 175 then hp2.week_qty_last when 177 then hp2.week_qty_last when 178 then hp2.week_qty_last when 180 then hp2.week_qty_last when 183 then hp2.week_qty_last when 184 then hp2.week_qty_last when 185 then hp2.week_qty_last when 186 then hp2.week_qty_last when 190 then hp2.week_qty_last when 200 then hp2.week_qty_last when 210 then hp2.week_qty_last when 220 then hp2.week_qty_last when 230 then hp2.week_qty_last when 240 then hp2.week_qty_last when 250 then hp2.week_qty_last when 260 then hp2.week_qty_last when 270 then hp2.week_qty_last when 280 then hp2.week_qty_last when 290 then hp2.week_qty_last when 300 then hp2.week_qty_last when 900 then hp2.week_qty_last else hp2.week_qty_sum end week_quantity, -- case hp2.supply_demand_code when 110 then hp2.period_qty_last when 120 then hp2.period_qty_last when 130 then hp2.period_qty_last when 150 then hp2.period_qty_last when 175 then hp2.period_qty_last when 177 then hp2.period_qty_last when 180 then hp2.period_qty_last when 183 then hp2.period_qty_last when 184 then hp2.period_qty_last when 185 then hp2.period_qty_last when 186 then hp2.period_qty_last when 190 then hp2.period_qty_last when 200 then hp2.period_qty_last when 210 then hp2.period_qty_last when 220 then hp2.period_qty_last when 230 then hp2.period_qty_last when 240 then hp2.period_qty_last when 250 then hp2.period_qty_last when 260 then hp2.period_qty_last when 270 then hp2.period_qty_last when 280 then hp2.period_qty_last when 290 then hp2.period_qty_last when 300 then hp2.period_qty_last when 900 then hp2.period_qty_last else hp2.period_qty_sum end period_quantity, -- case hp2.supply_demand_code when 110 then hp2.year_qty_last when 120 then hp2.year_qty_last when 130 then hp2.year_qty_last when 150 then hp2.year_qty_last when 175 then hp2.year_qty_last when 177 then hp2.year_qty_last when 178 then hp2.year_qty_last when 180 then hp2.year_qty_last when 183 then hp2.year_qty_last when 184 then hp2.year_qty_last when 185 then hp2.year_qty_last when 186 then hp2.year_qty_last when 190 then hp2.year_qty_last when 200 then hp2.year_qty_last when 210 then hp2.year_qty_last when 220 then hp2.year_qty_last when 230 then hp2.year_qty_last when 240 then hp2.year_qty_last when 250 then hp2.year_qty_last when 260 then hp2.year_qty_last when 270 then hp2.year_qty_last when 280 then hp2.year_qty_last when 290 then hp2.year_qty_last when 300 then hp2.year_qty_last when 900 then hp2.year_qty_last else hp2.year_qty_sum end year_quantity, -- -- values -- hp2.standard_cost, hp2.value, -- case hp2.supply_demand_code when 110 then hp2.week_value_last when 120 then hp2.week_value_last when 130 then hp2.week_value_last when 150 then hp2.week_value_last when 175 then hp2.week_value_last when 177 then hp2.week_value_last when 178 then hp2.week_value_last when 180 then hp2.week_value_last when 183 then hp2.week_value_last when 184 then hp2.week_value_last when 185 then hp2.week_value_last when 186 then hp2.week_value_last when 190 then hp2.week_value_last when 200 then hp2.week_value_last when 210 then hp2.week_value_last when 220 then hp2.week_value_last when 230 then hp2.week_value_last when 240 then hp2.week_value_last when 250 then hp2.week_value_last when 260 then hp2.week_value_last when 270 then hp2.week_value_last when 280 then hp2.week_value_last when 290 then hp2.week_value_last when 300 then hp2.week_value_last when 900 then hp2.week_value_last else hp2.week_value_sum end week_value, -- case hp2.supply_demand_code when 110 then hp2.period_value_last when 120 then hp2.period_value_last when 130 then hp2.period_value_last when 150 then hp2.period_value_last when 175 then hp2.period_value_last when 177 then hp2.period_value_last when 178 then hp2.period_value_last when 180 then hp2.period_value_last when 183 then hp2.period_value_last when 184 then hp2.period_value_last when 185 then hp2.period_value_last when 186 then hp2.period_value_last when 190 then hp2.period_value_last when 200 then hp2.period_value_last when 210 then hp2.period_value_last when 220 then hp2.period_value_last when 230 then hp2.period_value_last when 240 then hp2.period_value_last when 250 then hp2.period_value_last when 260 then hp2.period_value_last when 270 then hp2.period_value_last when 280 then hp2.period_value_last when 290 then hp2.period_value_last when 300 then hp2.period_value_last when 900 then hp2.period_value_last else hp2.period_value_sum end period_value, -- case hp2.supply_demand_code when 110 then hp2.year_value_last when 120 then hp2.year_value_last when 130 then hp2.year_value_last when 150 then hp2.year_value_last when 175 then hp2.year_value_last when 177 then hp2.year_value_last when 178 then hp2.year_value_last when 180 then hp2.year_value_last when 183 then hp2.year_value_last when 184 then hp2.year_value_last when 185 then hp2.year_value_last when 186 then hp2.year_value_last when 190 then hp2.year_value_last when 200 then hp2.year_value_last when 210 then hp2.year_value_last when 220 then hp2.year_value_last when 230 then hp2.year_value_last when 240 then hp2.year_value_last when 250 then hp2.year_value_last when 260 then hp2.year_value_last when 270 then hp2.year_value_last when 280 then hp2.year_value_last when 290 then hp2.year_value_last when 300 then hp2.year_value_last when 900 then hp2.year_value_last else hp2.year_value_sum end year_value, -- -- hp2.using_assemblies, -- item dff attributes &lp_item_dff_cols -- -- ltrim(to_char(hp2.supply_demand_code,'000')) || ' ' || hp2.supply_demand_type supply_demand_label, -- case substr(:p_summary_level,1,1) when 'A' then case when hp2.wn < xxen_msc_horizplan.get_week_bucket_cutoff_wn then to_char(hp2.bucket_date,'YYYY/MM/DD') || ' P:' || hp2.pn || ' W:' || hp2.wn || ' D:' || hp2.dn when hp2.wn >= xxen_msc_horizplan.get_week_bucket_cutoff_wn and hp2.wn < xxen_msc_horizplan.get_period_bucket_cutoff_wn then to_char(hp2.bucket_date,'YYYY/MM/DD') || ' W:' || hp2.wn || ' P:' || hp2.pn else to_char(hp2.bucket_date,'YYYY/MM/DD') || ' P:' || hp2.pn end when 'P' then to_char(hp2.bucket_date,'YYYY/MM/DD') || ' P:' || hp2.pn when 'W' then to_char(hp2.bucket_date,'YYYY/MM/DD') || ' P:' || hp2.pn || ' W:' || hp2.wn else to_char(hp2.bucket_date,'YYYY/MM/DD') || ' P:' || hp2.pn || ' W:' || hp2.wn || ' D:' || hp2.dn end bucket_label, -- to_char(hp2.bucket_date,'YYYY') year_chart_label, 'P:' || ltrim(to_char(hp2.pn,'000')) || ' ' || to_char(hp2.period_date,'DD-MON-YY') period_chart_label, case substr(:p_summary_level,1,1) when 'A' then case when hp2.wn >= xxen_msc_horizplan.get_period_bucket_cutoff_wn then 'P:' || ltrim(to_char(hp2.pn,'000')) || ' ' || to_char(hp2.period_date,'DD-MON-YY') else 'W:' || ltrim(to_char(hp2.wn,'000')) || ' ' || to_char(hp2.week_date,'DD-MON-YY') end else 'W:' || ltrim(to_char(hp2.wn,'000')) || ' ' || to_char(hp2.week_date,'DD-MON-YY') end week_chart_label, case substr(:p_summary_level,1,1) when 'A' then case when hp2.wn < xxen_msc_horizplan.get_week_bucket_cutoff_wn then 'D:' || ltrim(to_char(hp2.dn,'000')) || ' ' || to_char(hp2.bucket_date,'DD-MON-YY') when hp2.wn >= xxen_msc_horizplan.get_week_bucket_cutoff_wn and hp2.wn < xxen_msc_horizplan.get_period_bucket_cutoff_wn then 'W:' || ltrim(to_char(hp2.wn,'000')) || ' ' || to_char(hp2.week_date,'DD-MON-YY') else 'P:' || ltrim(to_char(hp2.pn,'000')) || ' ' || to_char(hp2.period_date,'DD-MON-YY') end else 'D:' || ltrim(to_char(hp2.dn,'000')) || ' ' || to_char(hp2.bucket_date,'DD-MON-YY') end day_chart_label, -- row_number() over (partition by hp2.planning_instance,hp2.plan_name,hp2.aggregation_level,hp2.dashboard_metric,hp2.aggregation_level,hp2.operating_unit,hp2.organization,hp2.category,hp2.item,hp2.supply_demand_code,to_char(hp2.bucket_date,'YYYY') order by hp2.bucket_date) yn_seq, row_number() over (partition by hp2.planning_instance,hp2.plan_name,hp2.aggregation_level,hp2.dashboard_metric,hp2.aggregation_level,hp2.operating_unit,hp2.organization,hp2.category,hp2.item,hp2.supply_demand_code,hp2.pn order by hp2.bucket_date) pn_seq, row_number() over (partition by hp2.planning_instance,hp2.plan_name,hp2.aggregation_level,hp2.dashboard_metric,hp2.aggregation_level,hp2.operating_unit,hp2.organization,hp2.category,hp2.item,hp2.supply_demand_code,hp2.wn order by hp2.bucket_date) wn_seq from (select hp.planning_instance ,hp.plan_name ,hp.organization ,hp.organization_name ,hp.operating_unit ,hp.item ,hp.item_description ,hp.category_set ,hp.category ,hp.item_uom ,hp.report_uom ,hp.uom_conversion ,hp.make_buy ,hp.planner ,hp.buyer ,hp.standard_cost ,hp.using_assemblies ,hp.dashboard_metric ,hp.supply_demand_code ,hp.supply_demand_type ,hp.aggregation_level ,case hp.horizontal_plan_type_text when 'IU' then hp.operating_unit || ' - ' || hp.item when 'IA' then hp.item when 'CO' then replace(hp.organization,hp.planning_instance || ':','') || ' - ' || hp.category when 'CU' then hp.operating_unit || ' - ' || hp.category when 'CA' then hp.category else replace(hp.organization,hp.planning_instance || ':','') || ' - ' || hp.item end aggregation_label ,hp.bucket_date -- ,hp.pn ,hp.wn ,hp.dn ,first_value(hp.bucket_date) over (partition by hp.planning_instance,hp.plan_name,hp.aggregation_level,hp.operating_unit,hp.organization,hp.category,hp.item,hp.supply_demand_code,hp.pn order by hp.bucket_date range between unbounded preceding and unbounded following) period_date ,first_value(hp.bucket_date) over (partition by hp.planning_instance,hp.plan_name,hp.aggregation_level,hp.operating_unit,hp.organization,hp.category,hp.item,hp.supply_demand_code,hp.wn order by hp.bucket_date range between unbounded preceding and unbounded following) week_date -- ,hp.quantity ,last_value(hp.quantity) over (partition by hp.planning_instance,hp.plan_name,hp.aggregation_level,hp.operating_unit,hp.organization,hp.category,hp.item,hp.supply_demand_code,hp.pn order by hp.bucket_date range between unbounded preceding and unbounded following) period_qty_last ,last_value(hp.quantity) over (partition by hp.planning_instance,hp.plan_name,hp.aggregation_level,hp.operating_unit,hp.organization,hp.category,hp.item,hp.supply_demand_code,hp.wn order by hp.bucket_date range between unbounded preceding and unbounded following) week_qty_last ,last_value(hp.quantity) over (partition by hp.planning_instance,hp.plan_name,hp.aggregation_level,hp.operating_unit,hp.organization,hp.category,hp.item,hp.supply_demand_code,to_char(hp.bucket_date,'YYYY') order by hp.bucket_date range between unbounded preceding and unbounded following) year_qty_last ,sum(hp.quantity) over (partition by hp.planning_instance,hp.plan_name,hp.aggregation_level,hp.operating_unit,hp.organization,hp.category,hp.item,hp.supply_demand_code,hp.pn) period_qty_sum ,sum(hp.quantity) over (partition by hp.planning_instance,hp.plan_name,hp.aggregation_level,hp.operating_unit,hp.organization,hp.category,hp.item,hp.supply_demand_code,hp.wn) week_qty_sum ,sum(hp.quantity) over (partition by hp.planning_instance,hp.plan_name,hp.aggregation_level,hp.operating_unit,hp.organization,hp.category,hp.item,hp.supply_demand_code,to_char(hp.bucket_date,'YYYY')) year_qty_sum -- ,hp.value ,last_value(hp.value) over (partition by hp.planning_instance,hp.plan_name,hp.aggregation_level,hp.operating_unit,hp.organization,hp.category,hp.item,hp.supply_demand_code,hp.pn order by hp.bucket_date range between unbounded preceding and unbounded following) period_value_last ,last_value(hp.value) over (partition by hp.planning_instance,hp.plan_name,hp.aggregation_level,hp.operating_unit,hp.organization,hp.category,hp.item,hp.supply_demand_code,hp.wn order by hp.bucket_date range between unbounded preceding and unbounded following) week_value_last ,last_value(hp.value) over (partition by hp.planning_instance,hp.plan_name,hp.aggregation_level,hp.operating_unit,hp.organization,hp.category,hp.item,hp.supply_demand_code,to_char(hp.bucket_date,'YYYY') order by hp.bucket_date range between unbounded preceding and unbounded following) year_value_last ,sum(hp.value) over (partition by hp.planning_instance,hp.plan_name,hp.aggregation_level,hp.operating_unit,hp.organization,hp.category,hp.item,hp.supply_demand_code,hp.pn) period_value_sum ,sum(hp.value) over (partition by hp.planning_instance,hp.plan_name,hp.aggregation_level,hp.operating_unit,hp.organization,hp.category,hp.item,hp.supply_demand_code,hp.wn) week_value_sum ,sum(hp.value) over (partition by hp.planning_instance,hp.plan_name,hp.aggregation_level,hp.operating_unit,hp.organization,hp.category,hp.item,hp.supply_demand_code,to_char(hp.bucket_date,'YYYY')) year_value_sum -- ,hp.sr_instance_id ,hp.plan_id ,hp.organization_id ,hp.inventory_item_id ,hp.sr_inventory_item_id from (select /*+ ordered */ -- hp organization id would be -1 for all org aggregation, however not using this opton in this code as we always pass the list of Org IDs even for all orgs -- hp inventory item id will be negative for product family details when display product family details = True mai.instance_code planning_instance ,mp.compile_designator plan_name ,case when mmp.horizontal_plan_type_text in ('IU','IA','CU','CA') then '(Aggregated)' else decode(mmp.organization_id,-1,'All Orgs',mpo.organization_code) end organization ,case when mmp.horizontal_plan_type_text in ('IU','IA','CU','CA') then null else nvl(mtp.partner_name,'All Orgs') end organization_name ,case when mmp.horizontal_plan_type_text not in ('IA','CA') then mtp.operating_unit_name else '(Aggregated)' end operating_unit ,case when mmp.horizontal_plan_type_text not in ('CO','CU','CA') then case sign(mmp.inventory_item_id) when -1 then (select mfq.char2 from msc_form_query&a2m_dblink mfq where mfq.query_id = abs(mmp.query_id) and mfq.number4 = mmp.plan_id and mfq.number3 = mmp.sr_instance_id and mfq.number6 = mmp.organization_id and mfq.number5 = mmp.inventory_item_id and rownum <= 1 ) else msi.item_name end else '(Aggregated)' end item ,case when mmp.horizontal_plan_type_text not in ('CO','CU','CA') then msi.description end item_description ,:p_cat_set_name category_set ,mic.category_name category ,case when mmp.horizontal_plan_type_text not in ('CO','CU','CA') then msi.uom_code end item_uom ,nvl(:p_uom_code,'Primary') report_uom ,nvl2(:p_uom_code,xxen_msc_horizplan.get_uom_conversion(msi.organization_id,msi.inventory_item_id,:p_uom_code,msi.uom_code),null) uom_conversion ,case when mmp.horizontal_plan_type_text not in ('CO','CU','CA') then msc_get_name.lookup_meaning&a2m_dblink ('MTL_PLANNING_MAKE_BUY',msi.planning_make_buy_code) end make_buy ,case when mmp.horizontal_plan_type_text not in ('CO','CU','CA') then msi.planner_code end planner ,case when mmp.horizontal_plan_type_text not in ('CO','CU','CA') then msi.buyer_name end buyer ,case when mmp.horizontal_plan_type_text not in ('IA','IU','CO','CU','CA') then msi.standard_cost end standard_cost ,case when mmp.horizontal_plan_type_text not in ('IA','IU','CO','CU','CA') then mmp.item_segments end using_assemblies ,:p_metric dashboard_metric ,ml.lookup_code supply_demand_code ,ml.meaning supply_demand_type ,case mmp.horizontal_plan_type_text when 'IU' then 'Item: Operating Unit' when 'IA' then 'Item: All Organizations' when 'CO' then 'Category: Organization' when 'CU' then 'Category: Operating Unit' when 'CA' then 'Category: All Organizations' else 'Item: Organization' end aggregation_level ,substr(mmp.organization_code,1,instr(mmp.organization_code,'|',1,1)-1) pn ,substr(mmp.organization_code,instr(mmp.organization_code,'|',1,1)+1,length(mmp.organization_code)) wn ,mmp.bucket_date - (decode(mp.plan_id,-1,trunc(sysdate),trunc(mp.curr_start_date))-1) dn ,mmp.bucket_date bucket_date -- Quantity ,round( case ml.lookup_code -- common to SC and IO Horizontal Plans when 10 then mmp.quantity1 * xxen_msc_horizplan.get_uom_conversion(msi.organization_id,msi.inventory_item_id,:p_uom_code,msi.uom_code) when 20 then mmp.quantity2 * xxen_msc_horizplan.get_uom_conversion(msi.organization_id,msi.inventory_item_id,:p_uom_code,msi.uom_code) when 25 then mmp.quantity3 * xxen_msc_horizplan.get_uom_conversion(msi.organization_id,msi.inventory_item_id,:p_uom_code,msi.uom_code) when 30 then mmp.quantity4 * xxen_msc_horizplan.get_uom_conversion(msi.organization_id,msi.inventory_item_id,:p_uom_code,msi.uom_code) when 40 then mmp.quantity5 * xxen_msc_horizplan.get_uom_conversion(msi.organization_id,msi.inventory_item_id,:p_uom_code,msi.uom_code) when 45 then mmp.quantity6 * xxen_msc_horizplan.get_uom_conversion(msi.organization_id,msi.inventory_item_id,:p_uom_code,msi.uom_code) when 50 then mmp.quantity7 * xxen_msc_horizplan.get_uom_conversion(msi.organization_id,msi.inventory_item_id,:p_uom_code,msi.uom_code) when 70 then mmp.quantity8 * xxen_msc_horizplan.get_uom_conversion(msi.organization_id,msi.inventory_item_id,:p_uom_code,msi.uom_code) when 81 then mmp.quantity9 * xxen_msc_horizplan.get_uom_conversion(msi.organization_id,msi.inventory_item_id,:p_uom_code,msi.uom_code) when 83 then mmp.quantity10 * xxen_msc_horizplan.get_uom_conversion(msi.organization_id,msi.inventory_item_id,:p_uom_code,msi.uom_code) when 85 then mmp.quantity11 * xxen_msc_horizplan.get_uom_conversion(msi.organization_id,msi.inventory_item_id,:p_uom_code,msi.uom_code) when 87 then mmp.quantity12 * xxen_msc_horizplan.get_uom_conversion(msi.organization_id,msi.inventory_item_id,:p_uom_code,msi.uom_code) when 89 then mmp.quantity13 * xxen_msc_horizplan.get_uom_conversion(msi.organization_id,msi.inventory_item_id,:p_uom_code,msi.uom_code) when 90 then mmp.quantity14 * xxen_msc_horizplan.get_uom_conversion(msi.organization_id,msi.inventory_item_id,:p_uom_code,msi.uom_code) when 95 then mmp.quantity15 * xxen_msc_horizplan.get_uom_conversion(msi.organization_id,msi.inventory_item_id,:p_uom_code,msi.uom_code) when 100 then mmp.quantity16 * xxen_msc_horizplan.get_uom_conversion(msi.organization_id,msi.inventory_item_id,:p_uom_code,msi.uom_code) when 105 then mmp.quantity17 * xxen_msc_horizplan.get_uom_conversion(msi.organization_id,msi.inventory_item_id,:p_uom_code,msi.uom_code) when 110 then mmp.quantity18 * xxen_msc_horizplan.get_uom_conversion(msi.organization_id,msi.inventory_item_id,:p_uom_code,msi.uom_code) when 120 then mmp.quantity19 * xxen_msc_horizplan.get_uom_conversion(msi.organization_id,msi.inventory_item_id,:p_uom_code,msi.uom_code) when 130 then mmp.quantity20 * xxen_msc_horizplan.get_uom_conversion(msi.organization_id,msi.inventory_item_id,:p_uom_code,msi.uom_code) when 140 then mmp.quantity21 * xxen_msc_horizplan.get_uom_conversion(msi.organization_id,msi.inventory_item_id,:p_uom_code,msi.uom_code) when 150 then mmp.quantity22 * xxen_msc_horizplan.get_uom_conversion(msi.organization_id,msi.inventory_item_id,:p_uom_code,msi.uom_code) when 160 then mmp.quantity23 * xxen_msc_horizplan.get_uom_conversion(msi.organization_id,msi.inventory_item_id,:p_uom_code,msi.uom_code) -- SC HP CMRO_EAM_WO specific when 295 then mmp.quantity46 * xxen_msc_horizplan.get_uom_conversion(msi.organization_id,msi.inventory_item_id,:p_uom_code,msi.uom_code) when 305 then mmp.quantity48 * xxen_msc_horizplan.get_uom_conversion(msi.organization_id,msi.inventory_item_id,:p_uom_code,msi.uom_code) when 310 then mmp.quantity49 * xxen_msc_horizplan.get_uom_conversion(msi.organization_id,msi.inventory_item_id,:p_uom_code,msi.uom_code) when 315 then mmp.quantity50 * xxen_msc_horizplan.get_uom_conversion(msi.organization_id,msi.inventory_item_id,:p_uom_code,msi.uom_code) when 320 then mmp.quantity51 * xxen_msc_horizplan.get_uom_conversion(msi.organization_id,msi.inventory_item_id,:p_uom_code,msi.uom_code) when 325 then mmp.quantity52 * xxen_msc_horizplan.get_uom_conversion(msi.organization_id,msi.inventory_item_id,:p_uom_code,msi.uom_code) when 330 then mmp.quantity47 * xxen_msc_horizplan.get_uom_conversion(msi.organization_id,msi.inventory_item_id,:p_uom_code,msi.uom_code) when 335 then mmp.quantity53 * xxen_msc_horizplan.get_uom_conversion(msi.organization_id,msi.inventory_item_id,:p_uom_code,msi.uom_code) when 340 then mmp.quantity54 * xxen_msc_horizplan.get_uom_conversion(msi.organization_id,msi.inventory_item_id,:p_uom_code,msi.uom_code) when 345 then mmp.quantity55 * xxen_msc_horizplan.get_uom_conversion(msi.organization_id,msi.inventory_item_id,:p_uom_code,msi.uom_code) when 350 then mmp.quantity56 * xxen_msc_horizplan.get_uom_conversion(msi.organization_id,msi.inventory_item_id,:p_uom_code,msi.uom_code) -- IO HP Specific when 175 then mmp.quantity25 * xxen_msc_horizplan.get_uom_conversion(msi.organization_id,msi.inventory_item_id,:p_uom_code,msi.uom_code) when 177 then mmp.quantity26 * xxen_msc_horizplan.get_uom_conversion(msi.organization_id,msi.inventory_item_id,:p_uom_code,msi.uom_code) when 178 then mmp.quantity36 * xxen_msc_horizplan.get_uom_conversion(msi.organization_id,msi.inventory_item_id,:p_uom_code,msi.uom_code) when 180 then mmp.quantity19 * xxen_msc_horizplan.get_uom_conversion(msi.organization_id,msi.inventory_item_id,:p_uom_code,msi.uom_code) when 183 then mmp.quantity37 when 184 then mmp.quantity38 when 185 then mmp.quantity39 when 186 then mmp.quantity40 when 190 then mmp.quantity27 when 200 then mmp.quantity28 when 210 then mmp.quantity24 * xxen_msc_horizplan.get_uom_conversion(msi.organization_id,msi.inventory_item_id,:p_uom_code,msi.uom_code) when 220 then mmp.quantity29 when 230 then mmp.quantity30 when 240 then mmp.quantity31 * xxen_msc_horizplan.get_uom_conversion(msi.organization_id,msi.inventory_item_id,:p_uom_code,msi.uom_code) when 250 then mmp.quantity32 when 260 then mmp.quantity33 when 270 then mmp.quantity34 when 280 then mmp.quantity35 when 290 then mmp.quantity41 when 300 then mmp.quantity42 -- common user defined when 500 then mmp.quantity45 -- this could be a qty or some other unit, so we won't uom convert this -- PAB Days Stock Cover is captured in quantity 43 -- However for higher level aggreagations it needs to be recalculated across the aggregation level when 900 then mmp.quantity43 end , nvl(to_number('&p_decimal_places'),1) ) quantity -- Value ,case ml.lookup_code when 10 then mmp.quantity1 * nvl(msi.standard_cost,0) when 20 then mmp.quantity2 * nvl(msi.standard_cost,0) when 25 then mmp.quantity3 * nvl(msi.standard_cost,0) when 30 then mmp.quantity4 * nvl(msi.standard_cost,0) when 40 then mmp.quantity5 * nvl(msi.standard_cost,0) when 45 then mmp.quantity6 * nvl(msi.standard_cost,0) when 50 then mmp.quantity7 * nvl(msi.standard_cost,0) when 70 then mmp.quantity8 * nvl(msi.standard_cost,0) when 81 then mmp.quantity9 * nvl(msi.standard_cost,0) when 83 then mmp.quantity10 * nvl(msi.standard_cost,0) when 85 then mmp.quantity11 * nvl(msi.standard_cost,0) when 87 then mmp.quantity12 * nvl(msi.standard_cost,0) when 89 then mmp.quantity13 * nvl(msi.standard_cost,0) when 90 then mmp.quantity14 * nvl(msi.standard_cost,0) when 95 then mmp.quantity15 * nvl(msi.standard_cost,0) when 100 then mmp.quantity16 * nvl(msi.standard_cost,0) when 105 then mmp.quantity17 * nvl(msi.standard_cost,0) when 110 then mmp.quantity18 * nvl(msi.standard_cost,0) when 120 then mmp.quantity19 * nvl(msi.standard_cost,0) when 130 then mmp.quantity20 * nvl(msi.standard_cost,0) when 140 then mmp.quantity21 * nvl(msi.standard_cost,0) when 150 then mmp.quantity22 * nvl(msi.standard_cost,0) when 160 then mmp.quantity23 * nvl(msi.standard_cost,0) -- SC HP CMRO_EAM_WO specific when 295 then mmp.quantity46 * nvl(msi.standard_cost,0) when 305 then mmp.quantity48 * nvl(msi.standard_cost,0) when 310 then mmp.quantity49 * nvl(msi.standard_cost,0) when 315 then mmp.quantity50 * nvl(msi.standard_cost,0) when 320 then mmp.quantity51 * nvl(msi.standard_cost,0) when 325 then mmp.quantity52 * nvl(msi.standard_cost,0) when 330 then mmp.quantity47 * nvl(msi.standard_cost,0) when 335 then mmp.quantity53 * nvl(msi.standard_cost,0) when 340 then mmp.quantity54 * nvl(msi.standard_cost,0) when 345 then mmp.quantity55 * nvl(msi.standard_cost,0) when 350 then mmp.quantity56 * nvl(msi.standard_cost,0) -- IO HP Specific when 175 then mmp.quantity25 * nvl(msi.standard_cost,0) when 177 then mmp.quantity26 * nvl(msi.standard_cost,0) when 178 then mmp.quantity36 * nvl(msi.standard_cost,0) when 180 then mmp.quantity19 * nvl(msi.standard_cost,0) when 183 then mmp.quantity37 when 184 then mmp.quantity38 when 185 then mmp.quantity39 when 186 then mmp.quantity40 when 190 then mmp.quantity27 when 200 then mmp.quantity28 when 210 then mmp.quantity24 * nvl(msi.standard_cost,0) when 220 then mmp.quantity29 when 230 then mmp.quantity30 when 240 then mmp.quantity31 * nvl(msi.standard_cost,0) when 250 then mmp.quantity32 when 260 then mmp.quantity33 when 270 then mmp.quantity34 when 280 then mmp.quantity35 when 290 then mmp.quantity41 when 300 then mmp.quantity42 -- common user defined when 500 then mmp.quantity45 -- this could be a qty or some other unit, so we won't include in std cost -- PAB Days Stock Cover when 900 then null -- No value for the Days Stock Cover metric end value -- ,mmp.sr_instance_id ,mmp.plan_id ,case when mmp.horizontal_plan_type_text in ('IU','IA','CU','CA') then null else mmp.organization_id end organization_id ,case when mmp.horizontal_plan_type_text not in ('CO','CU','CA') then msi.inventory_item_id end inventory_item_id ,case when mmp.horizontal_plan_type_text not in ('CO','CU','CA') then msi.sr_inventory_item_id end sr_inventory_item_id ,case when mmp.horizontal_plan_type_text not in ('IA','CA') then mtp.operating_unit end operating_unit_id ,mmp.horizontal_plan_type_text from msc_material_plans&a2m_dblink mmp, msc_apps_instances&a2m_dblink mai, msc_plans&a2m_dblink mp, msc_plan_organizations&a2m_dblink mpo, msc_system_items&a2m_dblink msi, msc_item_categories&a2m_dblink mic, msc_trading_partners&a2m_dblink mtp, mfg_sd_lookups ml where mmp.query_id = :p_query_id and mmp.sr_instance_id = mai.instance_id and mmp.sr_instance_id = mp.sr_instance_id and mmp.plan_id = mp.plan_id -- and mmp.sr_instance_id = mpo.sr_instance_id and mmp.plan_id = mpo.plan_id and mmp.organization_id = mpo.organization_id -- and mmp.sr_instance_id = msi.sr_instance_id and mmp.plan_id = msi.plan_id and mmp.organization_id = msi.organization_id and abs(mmp.inventory_item_id) = msi.inventory_item_id and msi.new_plan_id is null and msi.simulation_set_id is null -- and msi.sr_instance_id = mic.sr_instance_id and msi.organization_id = mic.organization_id and msi.inventory_item_id = mic.inventory_item_id and mic.category_set_id = :p_cat_set_id -- and mtp.sr_instance_id (+) = mmp.sr_instance_id and mtp.sr_tp_id (+) = mmp.organization_id and mtp.partner_type (+) = 3 -- and mmp.bucket_date <= :p_cutoff_date -- and ( ( nvl('&p_disp_pf','N') = 'Y' and mmp.inventory_item_id > 0 and msi.bom_item_type in (2,5) and ml.lookup_code in (20,70,90,100,110) ) or ( nvl('&p_disp_pf','N') != 'Y' or mmp.inventory_item_id < 0 or msi.bom_item_type not in (2,5) ) ) -- and (:p_uom_code is null or xxen_msc_horizplan.get_uom_conversion(msi.organization_id,msi.inventory_item_id,:p_uom_code,msi.uom_code) is not null) and 1=1 ) hp ) hp2 ) select hp3.*, -- case when hp3.yn_seq = max(hp3.yn_seq) over (partition by hp3.plan_name,hp3.dashboard_metric,hp3.aggregation_level,hp3.operating_unit,hp3.organization,hp3.category,hp3.item,hp3.supply_demand_code,to_char(hp3.bucket_date,'YYYY')) then hp3.year_quantity else null end year_qty_last, case when hp3.pn_seq = max(hp3.pn_seq) over (partition by hp3.plan_name,hp3.dashboard_metric,hp3.aggregation_level,hp3.operating_unit,hp3.organization,hp3.category,hp3.item,hp3.supply_demand_code,hp3.period_num) then hp3.period_quantity else null end period_qty_last, case when hp3.wn_seq = max(hp3.wn_seq) over (partition by hp3.plan_name,hp3.dashboard_metric,hp3.aggregation_level,hp3.operating_unit,hp3.organization,hp3.category,hp3.item,hp3.supply_demand_code,hp3.week_num) then hp3.week_quantity else null end week_qty_last, case when hp3.yn_seq = max(hp3.yn_seq) over (partition by hp3.plan_name,hp3.dashboard_metric,hp3.aggregation_level,hp3.operating_unit,hp3.organization,hp3.category,hp3.item,hp3.supply_demand_code,to_char(hp3.bucket_date,'YYYY')) then hp3.year_value else null end year_value_last, case when hp3.pn_seq = max(hp3.pn_seq) over (partition by hp3.plan_name,hp3.dashboard_metric,hp3.aggregation_level,hp3.operating_unit,hp3.organization,hp3.category,hp3.item,hp3.supply_demand_code,hp3.period_num) then hp3.period_value else null end period_value_last, case when hp3.wn_seq = max(hp3.wn_seq) over (partition by hp3.plan_name,hp3.dashboard_metric,hp3.aggregation_level,hp3.operating_unit,hp3.organization,hp3.category,hp3.item,hp3.supply_demand_code,hp3.week_num) then hp3.week_value else null end week_value_last from hp3 where 2=2 and hp3.aggregation_level = nvl(:p_aggregation_level,hp3.aggregation_level) order by hp3.planning_instance ,hp3.plan_name ,hp3.dashboard_metric ,hp3.aggregation_level desc ,hp3.operating_unit ,hp3.organization ,hp3.item ,hp3.bucket_date ,hp3.supply_demand_code Y XXEN_MSC_HORIZPLAN AR MSC Horizontal Plan ASCP: مخطط أفقي من طاولة عمل المخططين. D MSC Horizontal Plan ASCP: Horizontalplan aus der Planners Workbench. E MSC Horizontal Plan ASCP: Plano horizontal del banco de trabajo de los planificadores. F MSC Horizontal Plan ASCP : Plan horizontal de l'atelier des planificateurs. I MSC Horizontal Plan ASCP: piano orizzontale dal Planners Workbench. JA MSC Horizontal Plan ASCP：プランナーズワークベンチからの水平プラン。 KO MSC Horizontal Plan ASCP : 계획자 워크 벤치의 기간별 계획. PTB MSC Horizontal Plan ASCP: Plano horizontal a partir da bancada de planejamento. RU MSC Horizontal Plan ASCP: Горизонтальный план из рабочего стола планировщиков. S MSC Horizontal Plan ASCP: Horisontell plan från Planners Workbench. TR MSC Horizontal Plan ASCP: Planners Workbench'ten Yatay Plan. US MSC Horizontal Plan ASCP: Horizontal Plan from the Planners Workbench. Note: The number of Items included in the HP is restricted by the parameter ‘Item Restriction Limit’. This parameter defaults from the profile option ‘MSC: HP Maximum Displayed Item Count’ in the ASCP Planning Instance. The value set in the Item Restriction Limit parameter will override the value specified in profile option. ZHS MSC Horizontal Plan ASCP：来自规划师工作台的横向规划。 Enginatics R12 only &a2m_dblink &lp_item_dff_cols &p_decimal_places &p_disp_pf 1=1 2=2 :p_agg_hzp :p_aggregation_level :p_cat_name :p_cat_set_id :p_cat_set_name :p_cutoff_date :p_instance_code :p_item_limit :p_max_dsc :p_metric :p_operating_unit :p_plan_name :p_pref_name :p_query_id :p_run_id :p_summary_level :p_uom_code 1 -20 :p_max_dsc Number US Max Days Stock Cover 2 -10 1=1 1=1 Char US instance_id|plan_id|organization_id|inventory_item_id 3 10 :p_metric LOV custom Y select value, description from (select 'Horizontal Plan' value, 'Horizontal Plan' description from dual union select 'PAB Days Stock Cover' value, 'Projected Available Balance Days Stock Cover' description from dual ) order by value Y US Report Type 4 20 :p_instance_code LOV MSC Planning Instance A8454EC5D1EB6FE9E0530100007F0874 Y select instance_code value ,null description from ( select instance_code from msc_apps_instances union select instance_code from mrp_ap_apps_instances_all ) order by instance_code Y US Planning Instance 5 &a2m_dblink select mai.a2m_dblink from ( select nvl2(maaia.a2m_dblink,'@'||maaia.a2m_dblink,null) a2m_dblink from mrp_ap_apps_instances_all maaia where maaia.instance_code = :p_instance_code ) mai US Planning Instance 6 30 :p_plan_name LOV custom Y select distinct mp.compile_designator value ,null description from msc_plans@A2M_DBLINK mp, msc_apps_instances@A2M_DBLINK mai where mp.plan_id > 0 and mp.plan_type != 5 and mp.sr_instance_id = mai.instance_id and mai.instance_code =:$flex$.planning_instance order by lower(mp.compile_designator) Y US Plan 7 &msc_lookup_codes select listagg(ml.lookup_code,',') within group (order by ml.lookup_code) from msc_apps_instances mai ,msc_plans mp ,mfg_lookups ml where mp.sr_instance_id = mai.instance_id and mp.compile_designator = :p_plan_name and mai.instance_code = :p_instance_code and ( ( mp.plan_type != 4 -- ASCP Plan and ml.lookup_type = 'MRP_HORIZONTAL_PLAN_TYPE_SC' and ml.lookup_code not in (97,82,125,170,180,190) and (( nvl(fnd_profile.value ('MSC_ASCP_IGNORE_CMRO_EAM_WO'),1) = 1 and ml.lookup_code not in (295,330,305,310,315,320,325,335,340,345,350) ) or (nvl(fnd_profile.value ('MSC_ASCP_IGNORE_CMRO_EAM_WO'),1) = 2 ) ) and (( fnd_profile.value ('MSC_HP_EXTENSION_PROGRAM') is null and ml.lookup_code not in (500) -- custom user defined ) or (fnd_profile.value ('MSC_HP_EXTENSION_PROGRAM') is not null ) ) and NVL(xxen_msc_horizplan.get_pref_option(mp.plan_type,:p_pref_name,ml.lookup_type,ml.lookup_code),'Y') = 'Y' ) or ( mp.plan_type = 4 -- IO Plan and ml.lookup_type = 'MSC_HORIZONTAL_PLAN_TYPE_IO' and (( fnd_profile.value ('MSC_HP_EXTENSION_PROGRAM') is null and ml.lookup_code not in (500) -- custom user defined ) or (fnd_profile.value ('MSC_HP_EXTENSION_PROGRAM') is not null ) ) and NVL(xxen_msc_horizplan.get_pref_option(mp.plan_type,:p_pref_name,ml.lookup_type,decode(ml.lookup_code,190,180,200,180,220,210,230,210,250,240,260,240,ml.lookup_code)),'Y') = 'Y' ) ) US Plan 8 &msc_lookup_type select decode(xxen_msc_horizplan.get_plan_type(:p_instance_code,:p_plan_name),4,'MSC_HORIZONTAL_PLAN_TYPE_IO','MRP_HORIZONTAL_PLAN_TYPE_SC') from dual US Plan 9 40 :p_operating_unit LOV custom Y select distinct mtp.operating_unit_name value , null description from msc_trading_partners mtp, msc_plan_organizations mpo, msc_plans mp, msc_apps_instances mai where mp.sr_instance_id = mpo.sr_instance_id and mp.plan_id = mpo.plan_id and mpo.sr_instance_id = mai.instance_id and mp.compile_designator = nvl(:$flex$.plan,mp.compile_designator) and mai.instance_code =:$flex$.planning_instance and ( exists (select null from msc_selected_orgs_v msov where msov.responsibility_id = fnd_global.resp_id and msov.organization_id = mpo.organization_id) or exists (select null from org_access_view oav where oav.responsibility_id = fnd_global.resp_id and oav.resp_application_id = fnd_global.resp_appl_id and oav.organization_id = mpo.organization_id) ) and mtp.sr_instance_id = mpo.sr_instance_id and mtp.partner_type = 3 and mtp.sr_tp_id = mpo.organization_id order by lower(mtp.operating_unit_name) US Operating Unit 10 50 1=1 mpo.organization_code = :org LOV custom Y select mpo.organization_code value , null description from msc_trading_partners mtp, msc_plan_organizations mpo, msc_plans mp , msc_apps_instances mai where mp.sr_instance_id = mpo.sr_instance_id and mp.plan_id = mpo.plan_id and mpo.sr_instance_id = mai.instance_id and mp.compile_designator = nvl(:$flex$.plan,mp.compile_designator) and mai.instance_code =:$flex$.planning_instance and ( exists (select null from msc_selected_orgs_v msov where msov.responsibility_id = fnd_global.resp_id and msov.organization_id = mpo.organization_id) or exists (select null from org_access_view oav where oav.responsibility_id = fnd_global.resp_id and oav.resp_application_id = fnd_global.resp_appl_id and oav.organization_id = mpo.organization_id) ) and mtp.sr_instance_id = mpo.sr_instance_id and mtp.partner_type = 3 and mtp.sr_tp_id = mpo.organization_id and mtp.operating_unit_name = nvl(:$flex$.operating_unit,mtp.operating_unit_name) order by lower(mpo.organization_code) US Organization 11 60 1=1 msi.planner_code = :p_planner LOV MSC Planner Code A85765FE708251D8E0530100007FCD1D Y select distinct mpl.planner_code value, null description from msc_apps_instances@A2M_DBLINK mai, msc_plans@A2M_DBLINK mp, msc_plan_organizations@A2M_DBLINK mpo, msc_planners@A2M_DBLINK mpl where mai.instance_code = :$flex$.planning_instance and mp.sr_instance_id = mai.instance_id and mp.compile_designator = :$flex$.plan and mpo.sr_instance_id = mp.sr_instance_id and mpo.plan_id = mp.plan_id and (:$flex$.organization is null or xxen_util.contains(:$flex$.organization,mpo.organization_code) = 'Y' ) and mpl.sr_instance_id = mpo.sr_instance_id and mpl.organization_id = mpo.organization_id order by lower(mpl.planner_code) US Planner 12 70 1=1 msi.buyer_name = :p_buyer LOV MSC Buyer Name A8576D437D9C52DEE0530100007F5406 Y select distinct msi.buyer_name value, null description from msc_apps_instances@A2M_DBLINK mai, msc_plans@A2M_DBLINK mp, msc_plan_organizations@A2M_DBLINK mpo, msc_system_items@A2M_DBLINK msi where mai.instance_code = :$flex$.planning_instance and mp.sr_instance_id = mai.instance_id and mp.compile_designator = :$flex$.plan and mpo.sr_instance_id = mp.sr_instance_id and mpo.plan_id = mp.plan_id and (:$flex$.organization is null or xxen_util.contains(:$flex$.organization,mpo.organization_code) = 'Y' ) and msi.sr_instance_id = mpo.sr_instance_id and msi.plan_id = mpo.plan_id and msi.organization_id = mpo.organization_id and msi.buyer_name is not null order by lower(msi.buyer_name) US Buyer 13 80 :p_cat_set_name LOV MSC Category Set A85770BE6AD052E2E0530100007F2871 Y select mcs.category_set_name value, null description from msc_apps_instances@A2M_DBLINK mai, msc_category_sets@A2M_DBLINK mcs where mai.instance_code = :$flex$.planning_instance and mai.instance_id = mcs.sr_instance_id and exists (select null from msc_item_categories@A2M_DBLINK mic where mic.sr_instance_id = mcs.sr_instance_id and mic.category_set_id = mcs.category_set_id ) order by lower(mcs.category_set_name) select mcs.category_set_name value from msc_category_sets@A2M_DBLINK mcs where exists (select null from msc_apps_instances@A2M_DBLINK mai, msc_item_categories@A2M_DBLINK mic where mai.instance_code =:$flex$.planning_instance and mic.sr_instance_id = mai.instance_id and mic.category_set_id = mcs.category_set_id ) and mcs.default_flag = 1 and rownum=1 Y US Category Set 14 90 :p_cat_name LOV MSC Category within a specified Category Set A85776F7DF3D52E0E0530100007F6064 Y Y select distinct mic.category_name value, null description from msc_apps_instances@A2M_DBLINK mai, msc_category_sets@A2M_DBLINK mcs, msc_item_categories@A2M_DBLINK mic where mai.instance_code = :$flex$.planning_instance and mai.instance_id = mcs.sr_instance_id and mcs.category_set_name = :$flex$.category_set and mcs.sr_instance_id = mcs.sr_instance_id and mcs.category_set_id = mcs.category_set_id order by lower(mic.category_name) US Category 15 100 1=1 msi.item_name=:item LOV MSC Planned Item A844FAB91C4F7309E0530100007F496B Y Y select msi.item_name value, min(msi.description) description from msc_system_items@A2M_DBLINK msi, msc_plans@A2M_DBLINK mp, msc_apps_instances@A2M_DBLINK mai where msi.sr_instance_id = mai.instance_id and msi.plan_id = mp.plan_id and mp.sr_instance_id = mai.instance_id and mp.compile_designator = nvl(:$flex$.plan,mp.compile_designator) and mai.instance_code =:$flex$.planning_instance group by msi.item_name order by lower(msi.item_name) US Item 16 110 :p_uom_code LOV custom Y select muom.uom_code value, muom.unit_of_measure || ' (' || muom.uom_class || ')' description from mtl_units_of_measure muom order by value US Unit of Measure 17 120 :p_item_limit Number select xxen_msc_horizplan.get_item_limit(:$flex$.Planning_Instance) from dual Y US Item Restriction Limit 18 130 :p_cutoff_date Date select least( xxen_msc_horizplan.get_plan_end_date(:$flex$.Planning_Instance,:$flex$.Plan), add_months(last_day(trunc(sysdate)),6) ) from dual Y US Cutoff Date 19 140 :p_summary_level LOV custom Y select x.value, x.description from ( select 'Days' value, null description from dual union select 'Weeks' value, null description from dual union select 'Periods' value, null description from dual union select 'Aggregate from Plan Buckets' value, null description from dual ) x order by x.value Aggregate from Plan Buckets Y US Buckets 20 150 :p_pref_name LOV MSC Plan Preference AAA5D8BD7C4505E3E0530100007F3EC3 Y select mup.name value ,null description from msc_user_preferences@A2M_DBLINK mup ,fnd_user@A2M_DBLINK fur ,fnd_user ful where mup.user_id = fur.user_id and fur.user_name = ful.user_name and ful.user_id = fnd_global.user_id order by mup.name select mup.name from msc_user_preferences@A2M_DBLINK mup ,fnd_user@A2M_DBLINK fur ,fnd_user ful where mup.user_id = fur.user_id and mup.default_flag = 1 and fur.user_name = ful.user_name and ful.user_id = fnd_global.user_id US Preference 21 &p_decimal_places select xxen_msc_horizplan.get_pref_option(xxen_msc_horizplan.get_plan_type(:p_instance_code,:p_plan_name),:p_pref_name,'SUMMARY_DECIMAL_PLACES') from dual US Preference 22 &p_disp_pf select xxen_msc_horizplan.get_pref_option(xxen_msc_horizplan.get_plan_type(:p_instance_code,:p_plan_name),:p_pref_name,'SUMMARY_DISP_PF_DETAILS') from dual US Preference 23 160 1=1 ml.meaning = :p_sd_type LOV custom Y select x.meaning value, null description from ( select ml.lookup_code, ml.meaning from mfg_lookups ml where ( ( xxen_msc_horizplan.get_plan_type(:$flex$.Planning_Instance,:$flex$.Plan) != 4 -- ASCP Plan and ml.lookup_type = 'MRP_HORIZONTAL_PLAN_TYPE_SC' and ml.lookup_code not in (97,82,125,170,180,190) and NVL(xxen_msc_horizplan.get_pref_option(xxen_msc_horizplan.get_plan_type(:$flex$.Planning_Instance,:$flex$.Plan),:$flex$.Preference,ml.lookup_type,ml.lookup_code),'Y') = 'Y' and (( nvl(fnd_profile.value ('MSC_ASCP_IGNORE_CMRO_EAM_WO'),1) = 1 and ml.lookup_code not in (295,330,305,310,315,320,325,335,340,345,350) ) or (nvl(fnd_profile.value ('MSC_ASCP_IGNORE_CMRO_EAM_WO'),1) = 2 ) ) and (( fnd_profile.value ('MSC_HP_EXTENSION_PROGRAM') is null and ml.lookup_code not in (500) -- custom user defined ) or (fnd_profile.value ('MSC_HP_EXTENSION_PROGRAM') is not null ) ) ) or ( xxen_msc_horizplan.get_plan_type(:$flex$.Planning_Instance,:$flex$.Plan) = 4 -- IO Plan and ml.lookup_type = 'MSC_HORIZONTAL_PLAN_TYPE_IO' and NVL(xxen_msc_horizplan.get_pref_option(xxen_msc_horizplan.get_plan_type(:$flex$.Planning_Instance,:$flex$.Plan),:$flex$.Preference,ml.lookup_type,ml.lookup_code),'Y') = 'Y' and (( fnd_profile.value ('MSC_HP_EXTENSION_PROGRAM') is null and ml.lookup_code not in (500) -- custom user defined ) or (fnd_profile.value ('MSC_HP_EXTENSION_PROGRAM') is not null ) ) ) ) union select 900 lookup_code, 'PAB Days Stock Cover' meaning from dual where nvl(:$flex$.Report_Type,'Horizontal Plan') = 'PAB Days Stock Cover' ) x order by value US Include Supply Demand Types 24 170 1=1 ml.meaning != :p_excl_sd_type LOV custom Y select x.meaning value, null description from ( select ml.lookup_code, ml.meaning from mfg_lookups ml where ( ( xxen_msc_horizplan.get_plan_type(:$flex$.Planning_Instance,:$flex$.Plan) != 4 -- ASCP Plan and ml.lookup_type = 'MRP_HORIZONTAL_PLAN_TYPE_SC' and ml.lookup_code not in (97,82,125,170,180,190) and NVL(xxen_msc_horizplan.get_pref_option(xxen_msc_horizplan.get_plan_type(:$flex$.Planning_Instance,:$flex$.Plan),:$flex$.Preference,ml.lookup_type,ml.lookup_code),'Y') = 'Y' and (( nvl(fnd_profile.value ('MSC_ASCP_IGNORE_CMRO_EAM_WO'),1) = 1 and ml.lookup_code not in (295,330,305,310,315,320,325,335,340,345,350) ) or (nvl(fnd_profile.value ('MSC_ASCP_IGNORE_CMRO_EAM_WO'),1) = 2 ) ) and (( fnd_profile.value ('MSC_HP_EXTENSION_PROGRAM') is null and ml.lookup_code not in (500) -- custom user defined ) or (fnd_profile.value ('MSC_HP_EXTENSION_PROGRAM') is not null ) ) ) or ( xxen_msc_horizplan.get_plan_type(:$flex$.Planning_Instance,:$flex$.Plan) = 4 -- IO Plan and ml.lookup_type = 'MSC_HORIZONTAL_PLAN_TYPE_IO' and NVL(xxen_msc_horizplan.get_pref_option(xxen_msc_horizplan.get_plan_type(:$flex$.Planning_Instance,:$flex$.Plan),:$flex$.Preference,ml.lookup_type,ml.lookup_code),'Y') = 'Y' and (( fnd_profile.value ('MSC_HP_EXTENSION_PROGRAM') is null and ml.lookup_code not in (500) -- custom user defined ) or (fnd_profile.value ('MSC_HP_EXTENSION_PROGRAM') is not null ) ) ) ) union select 900 lookup_code, 'PAB Days Stock Cover' meaning from dual where nvl(:$flex$.Report_Type,'Horizontal Plan') = 'PAB Days Stock Cover' ) x order by value US Exclude Supply Demand Types 25 180 :p_aggregation_level LOV custom Y select value, null description from ( select 'Item: Organization' value from dual union select 'Item: Operating Unit' value from dual union select 'Item: All Organizations' value from dual union select 'Category: Organization' value from dual union select 'Category: Operating Unit' value from dual union select 'Category: All Organizations' value from dual ) where (:$flex$.report_type = 'PAB Days Stock Cover') order by value desc Item: Organization US Days Stock Cover Aggregation 26 190 &lp_item_dff_cols select xxen_msc.get_item_dff_lexicals(mai.instance_id,'hp2.sr_inventory_item_id','hp2.organization_id') from ( select maaia.instance_id from mrp_ap_apps_instances_all maaia where maaia.instance_code = :p_instance_code union select mai.instance_id from msc_apps_instances mai where mai.instance_code = :p_instance_code and not exists (select null from mrp_ap_apps_instances_all maaia where maaia.instance_code = :p_instance_code) ) mai LOV Yes 8E2FF36EDEA679D2E0530100007F1FF2 Y select 'Y' id, xxen_util.meaning('Y','YES_NO',0) value, null description from dual US Show Item Descriptive Attributes :$flex$.Plan Plan Cutoff Date :$flex$.Plan Plan Exclude Supply Demand Types :$flex$.Plan Plan Include Supply Demand Types :$flex$.Planning_Instance Planning Instance Cutoff Date :$flex$.Planning_Instance Planning Instance Exclude Supply Demand Types :$flex$.Planning_Instance Planning Instance Include Supply Demand Types :$flex$.Planning_Instance Planning Instance Item Restriction Limit :$flex$.Preference Preference Exclude Supply Demand Types :$flex$.Preference Preference Include Supply Demand Types :$flex$.Report_Type Report Type Exclude Supply Demand Types :$flex$.Report_Type Report Type Include Supply Demand Types :$flex$.category_set Category Set Category :$flex$.operating_unit Operating Unit Organization :$flex$.organization Organization Buyer :$flex$.organization Organization Planner :$flex$.plan Plan Buyer :$flex$.plan Plan Item :$flex$.plan Plan Operating Unit :$flex$.plan Plan Organization :$flex$.plan Plan Planner :$flex$.planning_instance Planning Instance Buyer :$flex$.planning_instance Planning Instance Category :$flex$.planning_instance Planning Instance Category Set :$flex$.planning_instance Planning Instance Item :$flex$.planning_instance Planning Instance Operating Unit :$flex$.planning_instance Planning Instance Organization :$flex$.planning_instance Planning Instance Plan :$flex$.planning_instance Planning Instance Planner :$flex$.report_type Report Type Days Stock Cover Aggregation Days Stock Cover Dashboard Y SYSADMIN 40 AGGREGATION_LABEL 39 AGGREGATION_LEVEL -39.004 AGGREGATION_SERIES_LABEL 19 BUCKET_DATE 37 BUCKET_LABEL 15 BUYER 9 CATEGORY 8 CATEGORY_SET 38 DASHBOARD_METRIC -31.0035 DAY_CHAR 35 DAY_CHART_LABEL 31 DAY_NUM 6 ITEM 7 ITEM_DESCRIPTION 10 ITEM_UOM 13 Make/Buy 5 OPERATING_UNIT 3 ORGANIZATION 4 ORGANIZATION_NAME -31.0033 PERIOD_CHAR 33 PERIOD_CHART_LABEL 29 PERIOD_NUM 24 PERIOD_QTY_LAST PERIOD_QUANTITY PERIOD_VALUE 27 PERIOD_VALUE_LAST 14 PLANNER 1 PLANNING_INSTANCE 2 PLAN_NAME PN_SEQ 20 QUANTITY 11 REPORT_UOM 21 STANDARD_COST 17 SUPPLY_DEMAND_CODE 36 SUPPLY_DEMAND_LABEL 18 SUPPLY_DEMAND_TYPE 12 UOM_CONVERSION 16 USING_ASSEMBLIES 22 VALUE -31.0034 WEEK_CHAR 34 WEEK_CHART_LABEL 30 WEEK_NUM 25 WEEK_QTY_LAST WEEK_QUANTITY WEEK_VALUE 28 WEEK_VALUE_LAST WN_SEQ -31.0032 YEAR_CHAR 32 YEAR_CHART_LABEL 23 YEAR_QTY_LAST YEAR_QUANTITY YEAR_VALUE 26 YEAR_VALUE_LAST YN_SEQ BUCKET_LABEL COLUMN 1 BUYER ROW 7 CATEGORY_NAME ROW 5 CATEGORY_SET ROW 4 ITEM ROW 3 Make/Buy ROW 5 ORGANIZATION ROW 2 PLANNER ROW 6 PLAN_NAME ROW 1 QUANTITY VALUE 1 SUM SUPPLY_DEMAND_CODE ROW 9 SUPPLY_DEMAND_TYPE ROW 10 USING_ASSEMBLIES ROW 8 MSC Horizontal Plan - Days Stock Cover Dashboard Template 20230724.xlsm US 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 xl/worksheets/sheet1.xml xl/worksheets/sheet9.xml 1 0 Aggregation Level 1 (All) 2 Report UOM 3 Planner 4 Buyer 5 Make/Buy 6 Sum of Quantity 7 Bucket Label 8 Plan Name 9 Operating Unit 10 Organization 11 Category 12 Item 13 Item Description 14 Item Uom 15 Supply Demand Label 16 2023/06/05 P:0 W:0 D:0 17 None 18 TST:NA 19 No Item 20 NA 21 Ea 22 070 Gross requirements 23 110 Projected available balance 24 900 PAB Days Stock Cover 25 Chart Type 26 Day 27 Week 28 Period 29 Year 30 Supply Demand Type 31 PAB Days Stock Cover 32 Quantity by Day 33 Source Type 34 NA - NA 35 Bucket 36 D:000 05-JUN-23 37 Quantity by Week 38 W:000 05-JUN-23 39 Quantity by Period 40 P:00 41 Quantity by Year 42 2023 43 Pivot Days Stock Cover Detail Days Stock Cover Aggregation Item: Organization Include Supply Demand Types <multiple_values>Gross requirements;PAB Days Stock Cover;Projected available balance Planning Instance TST Report Type PAB Days Stock Cover data A1 1 data AA1 1 data AB1 1 data AC1 1 data AD1 1 data AE1 1 data AF1 1 data AG1 1 data AH1 1 data AI1 1 data AJ1 1 data AK1 1 data AL1 1 data AM1 5 data AN1 5 data B1 1 data C1 1 data D1 1 data E1 1 data F1 1 data G1 1 data H1 1 data I1 1 data J1 1 data K1 1 data L1 1 data M1 1 data N1 1 data O1 1 data P1 1 data Q 6 data Q1 5 data R1 1 data S 8 data S1 7 data T 3 data T1 1 data U1 1 data V 4 data V1 1 data W1 1 data X1 1 data Y1 1 data Z1 1 parameter A1 1 parameter A10 1 parameter A11 1 parameter A12 1 parameter A13 1 parameter A14 1 parameter A15 1 parameter A16 1 parameter A17 1 parameter A18 1 parameter A2 1 parameter A3 1 parameter A4 1 parameter A5 1 parameter A6 1 parameter A7 1 parameter A8 1 parameter B3 2 S Site Days Stock Cover Report Y SYSADMIN 40 AGGREGATION_LABEL 39 AGGREGATION_LEVEL -39.004 AGGREGATION_SERIES_LABEL 19 BUCKET_DATE 37 BUCKET_LABEL 15 BUYER 9 CATEGORY 8 CATEGORY_SET 38 DASHBOARD_METRIC -31.0035 DAY_CHAR 35 DAY_CHART_LABEL 31 DAY_NUM 6 ITEM 7 ITEM_DESCRIPTION 10 ITEM_UOM 13 Make/Buy 5 OPERATING_UNIT 3 ORGANIZATION 4 ORGANIZATION_NAME -31.0033 PERIOD_CHAR 33 PERIOD_CHART_LABEL 29 PERIOD_NUM 24 PERIOD_QTY_LAST PERIOD_QUANTITY PERIOD_VALUE 27 PERIOD_VALUE_LAST 14 PLANNER 1 PLANNING_INSTANCE 2 PLAN_NAME PN_SEQ 20 QUANTITY 11 REPORT_UOM 21 STANDARD_COST 17 SUPPLY_DEMAND_CODE 36 SUPPLY_DEMAND_LABEL 18 SUPPLY_DEMAND_TYPE 12 UOM_CONVERSION 16 USING_ASSEMBLIES 22 VALUE -31.0034 WEEK_CHAR 34 WEEK_CHART_LABEL 30 WEEK_NUM 25 WEEK_QTY_LAST WEEK_QUANTITY WEEK_VALUE 28 WEEK_VALUE_LAST WN_SEQ -31.0032 YEAR_CHAR 32 YEAR_CHART_LABEL 23 YEAR_QTY_LAST YEAR_QUANTITY YEAR_VALUE 26 YEAR_VALUE_LAST YN_SEQ CATEGORY_NAME ROW 5 MSC Horizontal Plan - Days Stock Cover Report Template20230703.xlsx US 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 xl/worksheets/sheet1.xml xl/worksheets/sheet3.xml 1 0 Aggregation Level 1 (All) 2 Report UOM 3 Planner 4 Buyer 5 Make/Buy 6 Sum of Quantity 7 Bucket 8 Plan Name 9 Operating Unit 10 Organization 11 Category 12 Item 13 Item Description 14 Item Uom 15 Supply Demand Label 16 2023/06/21 P:0 W:0 D:0 17 N/A 18 Ea 19 070 Gross requirements 20 110 Projected available balance 21 900 PAB Days Stock Cover Days Stock Cover Aggregation Item: Organization Planning Instance TST Report Type PAB Days Stock Cover data A1 1 data AA1 1 data AB1 1 data AC1 1 data AD1 1 data AE1 1 data AF1 1 data AG1 1 data AH1 1 data AI1 1 data AJ1 1 data AK1 1 data AL1 1 data AM1 1 data B1 1 data C1 1 data D1 1 data E1 1 data F1 1 data G1 1 data H1 1 data I1 1 data J1 1 data K1 1 data L1 1 data M1 1 data N1 1 data O1 1 data P1 1 data Q1 1 data R1 1 data S 2 data S1 1 data T 4 data T1 1 data U1 1 data V 5 data V1 1 data W1 1 data X1 1 data Y1 1 data Z1 1 parameter A1 1 parameter A10 1 parameter A11 1 parameter A12 1 parameter A13 1 parameter A14 1 parameter A15 1 parameter A16 1 parameter A17 1 parameter A18 1 parameter A19 1 parameter A2 1 parameter A3 1 parameter A4 1 parameter A5 1 parameter A6 1 parameter A7 1 parameter A8 1 parameter B3 3 S Site Horizontal Plan Dashboard Y SYSADMIN 40 AGGREGATION_LABEL 39 AGGREGATION_LEVEL -39.004 AGGREGATION_SERIES_LABEL 19 BUCKET_DATE 37 BUCKET_LABEL 15 BUYER 9 CATEGORY 8 CATEGORY_SET 38 DASHBOARD_METRIC -31.0035 DAY_CHAR 35 DAY_CHART_LABEL 31 DAY_NUM 6 ITEM 7 ITEM_DESCRIPTION 10 ITEM_UOM 13 Make/Buy 5 OPERATING_UNIT 3 ORGANIZATION 4 ORGANIZATION_NAME -31.0033 PERIOD_CHAR 33 PERIOD_CHART_LABEL 29 PERIOD_NUM 24 PERIOD_QTY_LAST PERIOD_QUANTITY PERIOD_VALUE 27 PERIOD_VALUE_LAST 14 PLANNER 1 PLANNING_INSTANCE 2 PLAN_NAME PN_SEQ 20 QUANTITY 11 REPORT_UOM 21 STANDARD_COST 17 SUPPLY_DEMAND_CODE 36 SUPPLY_DEMAND_LABEL 18 SUPPLY_DEMAND_TYPE 12 UOM_CONVERSION 16 USING_ASSEMBLIES 22 VALUE -31.0034 WEEK_CHAR 34 WEEK_CHART_LABEL 30 WEEK_NUM 25 WEEK_QTY_LAST WEEK_QUANTITY WEEK_VALUE 28 WEEK_VALUE_LAST WN_SEQ -31.0032 YEAR_CHAR 32 YEAR_CHART_LABEL 23 YEAR_QTY_LAST YEAR_QUANTITY YEAR_VALUE 26 YEAR_VALUE_LAST YN_SEQ BUCKET_LABEL COLUMN 1 BUYER ROW 7 CATEGORY_NAME ROW 5 CATEGORY_SET ROW 4 ITEM ROW 3 Make/Buy ROW 5 ORGANIZATION ROW 2 PLANNER ROW 6 PLAN_NAME ROW 1 QUANTITY VALUE 1 SUM SUPPLY_DEMAND_CODE ROW 9 SUPPLY_DEMAND_TYPE ROW 10 USING_ASSEMBLIES ROW 8 MSC Horizontal Plan - Horizontal Plan Dashboard Template 20230724.xlsm US UEsDBBQAAAAIAGZAlVxs/PGOIwMAAF8aAAATAAAAW0NvbnRlbnRfVHlwZXNdLnhtbM1ZwXKbMBC9d6b/wHDtGDlpm6adODkk6bHNNOlMrzKsbTUgMZLiOH/flcB17BJYME65GDDefc9PSG8XnV2ssjRYgjZCyUl4FI3DAGSsEiHnk/Dn3dfRaRgYy2XCUyVhEj6BCS/O3745u3vKwQQYLc0kXFibf2HMxAvIuIlUDhLvzJTOuMVLPWc5j+/5HNjxeHzCYiUtSDuyLkd4fnYFM/6Q2uB6hV8XTKZChsFl8TsHNQl5nqci5hZvs6VMosyM1GwmYoh4bMUSfoWsMhNks51MInNMViN3pzoml/PKGPd9dYSG1DQQ3lZlVCoSYaT/U2YhcvMOZXsBYYl36hXZASjUSVT8kKGIEcZfaf6IA/sCgIN+GaAk9h2fFS0SCG64tt94hgPDVil7VPp+qtR9VJ+kHDdYxZBGZgFgo4zHWl1LPk0Bx5QLuZagBslHGuYPRwTIemFMroEnPlmWRu6f+POWPI4HwuP9QHh8GAiPjwPhcTIQHp8GwuN0IDw+D4TH0fg/EcnFUtlLjtbNNqfoyEIKZ0t9r69VGA1LbSXDHxArnZjD0SsBGrgZrElAe/nQkDYXFF5YwZROuInrCEdxnx7hKCbTIxzFS3qEo1hGj3AUZ+gRjmIAHeCsyCAVEsqpsHXZajJsRTZMB4v9BjD/ScGorwN9mqb5Z59SMD2v1MYnbUJecA3JrdVYwPdO4HluymJ858p1U/iFP99f/e0qfJO5Ex3KctimKSDTSYoOy7DyZH9dykQNMpQtMCuPFNh/+uemB9Cb1NrkiAjP/a1pLpcLiGHrFaAVxjqoASXGRx1bR3+g5K9/SsrBwbbRJ6Rh++lOwd6MUMHaxdEgYpUqTaqNdjCKwBZAjtj+s627jhTsfXXsgNFJR0pVdajnkYK9r44dMDrpSCkXD6UjBXtfHTtgkHXcON1ze6eM3EH8tJoORYBXpEPpF16RDqWfOAid3eKHsm6S5mGryoSCutPfNORfTvmNVr8htlGbbYlNmHvhXvU6G9/NY+IcyxGloX1Tsd5BcNGjHBOBtqK+kfiLiLsp7QF3dhTAbdckkFRgM789dP4HUEsDBBQAAAAIAGZAlVy1VTAj7gAAAEwCAAALAAAAX3JlbHMvLnJlbHONks9OwzAMxu9IvEPk++puSAihpbtMSLshVB7AJO4ftY2jJED39oQDgkpj29H2588/W97u5mlUHxxiL07DuihBsTNie9dqeK2fVg+gYiJnaRTHGo4cYVfd3mxfeKSUm2LX+6iyi4saupT8I2I0HU8UC/HscqWRMFHKYWjRkxmoZdyU5T2Gvx5QLTzVwWoIB3sHqj76PPmytzRNb3gv5n1il06MQJ4TO8t25UNmC6nP26iaQstJgxXznNMRyfsiYwOeJtpcT/T/tjhxIkuJ0Ejg8zzfinNA6+uBLp9oqfi9zjzip4ThTWT4YcHFD1RfUEsDBBQAAAAIAGZAlVz7gVLzDQIAAB0FAAAQAAAAZG9jUHJvcHMvYXBwLnhtbJ1UTW/bMAy9D9h/0HzpqbGzFcUQKC6GZEUO+/AWN8VOAyPTsRBZMiTFSPrrS8eI465J1+3Gj2fy+ZEUv9mWitVonTR6HAwHUcBQC5NJvRoHd+nt5ceAOQ86A2U0joMduuAmfvuGJ9ZUaL1Ex6iEduOg8L4ahaETBZbgBpTWlMmNLcGTa1ehyXMpcGrEpkTtw/dRdB3i1qPOMLusuoJBW3FU+/8tmhnR8HOLdFcR4ZinxoNKZYlxxMOjwz9VlZICPP19/FUKa5zJPfu8Fah42E9yYj1HsbHS75oafZfPBSicUMM4B+WQh8cAnyE0YiYgrYt57Uc1Cm8sc/KB5LwK2BIcNjTHQQ1WgvZEt4G1zt5WlfM2vjd27QpE73jYBfdmH9u35VU8JK6EIOtFZNvhG5SYsZ+gV/hPPU632DPb/yz1fipDKr1C9z1PwPoTqgyHfVn23FpRWppzs7EC2RQ89JXo8jNj5YPRNHGWKNBsuWM/NqQlje61+AWoDc3xKPOxeEKNXbE0YLPzgK4j3cc51D3i+kDsBViCVprsFcBfCPZvsCl6kCSLrI1nE9LIGsVupfL0ApzkSROipTibvujN4uLd77ZSM5hmq5+t6WEZ/hj/F6nX7q5KDX2IhxN6GuTzAixmdHXdiXUBPqPrsaopMima3c0OmOeJ5uAX7WsXD68H0YeI7qMX4+HxXYsfAVBLAwQUAAAACABmQJVcW9kM3ToBAABRAgAAEQAAAGRvY1Byb3BzL2NvcmUueG1sjZLLTsMwEEX3SPxD5H1i5wFFVpJKgLqiEhJBIHaWPW0jYseyDWn/HufRtJW6YDlz7xzfGTlf7mUT/IKxdasKFEcEBaB4K2q1LdB7tQofUGAdU4I1rYICHcCiZXl7k3NNeWvg1bQajKvBBp6kLOW6QDvnNMXY8h1IZiPvUF7ctEYy50uzxZrxb7YFnBByjyU4JphjuAeGeiaiCSn4jNQ/phkAgmNoQIJyFsdRjE9eB0baqwODcuaUtTtov9MU95wt+CjO7r2tZ2PXdVGXDjF8/hh/rl/ehlXDWvW34oDKXHDKDTDXmjL3aU+FP1zDrFv7G29qEI8Hr1/pCT7EHedABD4AHeMelY/06blaoTIhSRqSRUiSKl7QLKN3i6/+yYv5PtDYkNPD/yAmaZXENEsoyc6IR8CY+/ITlH9QSwMEFAAAAAgAZkCVXLDj/SPfAQAANQ0AABoAAAB4bC9fcmVscy93b3JrYm9vay54bWwucmVsc71XTU/DMAy9I/EfqtxpljE2QOs4MCFxQ3z8gNC6a1ibVEkY7N+TbYK202IGanupFKe1X5+fHWd681nkwQq0EUpGhIUDEoCMVSLkIiIvz3dnlyQwlsuE50pCRNZgyM3s9GT6CDm37iOTidIEzos0EcmsLa8pNXEGBTehKkG6nVTpglu31Ata8njJF0CHg8GY6roPMmv4DO6TiOj7xMV/Xpcu8u++VZqKGOYqfi9A2gMh6IfSS5MBWOeU6wXYiPyYDN3uXIYOMaGHwbBzD5pCxFoZldowVgXdAdkAmDT/kZrcbehb7giqINSMDkT1xhCF4iOmEygTDIqPlAPpbyVF5xiYIWtTMMauc6f4H7Xs1lj8SZvhj9Armhk27FOvDNWrj5hO9DpGJdJzivA6HveZoguUF9f82+u11p0BtSa3XdLtE9dJmxiOqB8UjC83XXU2VLas1c5WipWy24NoDqmQYnOWV32u2qWHXkRJu+g5g6immQ9NJ21nhJbXX4eHvQGJrl75g1ZvENfGl8oWvgrpnVtarexjqmqAngVXf+t5jO2NUVYUkAsJe4NUw2xoY4lKdtSzZFGd+MjpqulcoanyUdNJ/eCTnW+Y+RcxJuMakier3U2nPuDVzd/E0MZlZ/YFUEsDBBQAAAAIAGZAlVxTJy+4wAAAAB8BAAAiAAAAeGwvYWN0aXZlWC9fcmVscy9hY3RpdmVYMS54bWwucmVsc23PMWvDMBAF4L3Q/yBur2V3CKVYDrRQyBpS6HqVz7aIdSekI8T/Pho6NKXj8Xjf4/r9Na7mQrkEYQdd04Ih9jIGnh18nj6eXsAURR5xFSYHGxXYD48P/ZFW1FoqS0jFVIWLg0U1vVpb/EIRSyOJuCaT5IhazzzbhP6MM9nntt3Z/NuA4c40h9FBPowdmNOW6vIfOwafpcikjZdoZZqC/0+16DVc6OtdWLOsb4Exb5XEPJM6+Em75jsw2KG3d28NN1BLAwQUAAAACABmQJVc9L7ewVgAAABgAAAAFwAAAHhsL2FjdGl2ZVgvYWN0aXZlWDEuYmluU5C91O305pzgPF6GVQwJTJ8ZmAwYShmdWxiAQJqlQcfBwYGBkZmJgRHIZ2NgaACJ5wkzMNSLMjAEpBZl5qcABZgkGEyBFDtQ/jBIARMDg3NiTmZSUSYDAFBLAwQUAAAACABmQJVcoFJCO+EAAAAuAQAAFwAAAHhsL2FjdGl2ZVgvYWN0aXZlWDEueG1sZZDBasMwDEDvg/2D0T2xk43Rhbqla1LoeRvsahynMcRWsLQSGPv3Oaw77SR0eO8JbfdLmMTVJfIYNVSlAuGixd7Hi4b3t1OxAUFsYm8mjE5DRNjv7u+2ZmnQLiIPOxki32v42ry0ddXWquiOj3VRVceueO5UWyh1OCj1pFR9eviGlZnXIHEuZeVteeXkTDhHzyBSswrTua9A5AMjNWbRMDLPjZRkRxcMlcHbhIQDlxaDxGHw1sk6h6Sx7K/u449N/1CcXczeAVMwTCWmy41v0X4GF/nXk9xkOD+GRj8TyN0PUEsDBBQAAAAIAGZAlVyAG9yBzAAAAI8BAAAfAAAAeGwvY2hhcnRzL19yZWxzL2NoYXJ0MS54bWwucmVsc62QwUrEMBCG74LvEOZu0+xBRDbdgyDsVdcHCOm0DZtkwkwQ+/amF7GLR48zw/99P3M8faWoPpElULZguh4UZk9jyLOFj8vrwxMoqS6PLlJGCysKnIb7u+MbRldbSJZQRDVKFgtLreVZa/ELJicdFcztMhEnV9vIsy7OX92M+tD3j5p/M2DYMdV5tMDn8QDqspZmvmGn4JmEptp5SpqmKfiNasyeqv3iuL5QJH6va8RGczxjteC3nZiuFQT9t9v8h/tGK1uLH6vevXH4BlBLAwQUAAAACABmQJVcEcp6IcwAAACPAQAAHwAAAHhsL2NoYXJ0cy9fcmVscy9jaGFydDIueG1sLnJlbHOtkLFqxDAMhvdC38Fob5xkKKWcc0OhcGt7fQDhKIk52zKWOS5vX2cpzdGxoyT+7/vR4XgLXl0pi+NooGtaUBQtjy7OBr7O708voKRgHNFzJAMrCRyHx4fDB3ksNSSLS6IqJYqBpZT0qrXYhQJKw4livUycA5Y65lkntBecSfdt+6zzbwYMO6Y6jQbyaexBnddUzXfs4Gxm4ak0loPmaXJ2o3bdnqrtgrm8sef8WVZPlYZ5pmLAbjvpm1oQ9N/u7j/cd1rZWvxY9e6NwzdQSwMEFAAAAAgAZkCVXKF4yPfNAAAAjwEAAB8AAAB4bC9jaGFydHMvX3JlbHMvY2hhcnQzLnhtbC5yZWxzrZDBasMwDIbvg72D0b1R0sIYo04Pg0GvXfcAxlESM9sylhnN28+5jKXsuKMk/u/70fF0C159URbHUUPXtKAoWh5cnDR8XN92z6CkmDgYz5E0LCRw6h8fjhfyptSQzC6JqpQoGuZS0gui2JmCkYYTxXoZOQdT6pgnTMZ+molw37ZPmH8zoN8w1XnQkM/DHtR1SdV8xw7OZhYeS2M5II+jsyu167ZUtLPJ5ZU95/eyeKo0kycqGuy6k0NTCwL+7e7+w32nlbXFjxU3b+y/AVBLAwQUAAAACABmQJVccm9Gu80AAACPAQAAHwAAAHhsL2NoYXJ0cy9fcmVscy9jaGFydDQueG1sLnJlbHOtkMFqwzAMhu+DvYPRvVFSyhijTg+DQa9d9wDGURIz2zKWGc3bz7mMpey4oyT+7/vR8XQLXn1RFsdRQ9e0oChaHlycNHxc33bPoKSYOBjPkTQsJHDqHx+OF/Km1JDMLomqlCga5lLSC6LYmYKRhhPFehk5B1PqmCdMxn6aiXDftk+YfzOg3zDVedCQz8Me1HVJ1XzHDs5mFh5LYzkgj6OzK7XrtlS0s8nllT3n97J4qjSTJyoa7LqTQ1MLAv7t7v7DfaeVtcWPFTdv7L8BUEsDBBQAAAAIAGZAlVwFLtaECiEAALaWAwAUAAAAeGwvY2hhcnRzL2NoYXJ0MS54bWztnWtz27iWrr+fqvMfONy7aj70UXS/nihTthzP7mmn44nS3VVzqVMQCUmcQAQbgHxJV//3swBQsmQpjiy3bCp5v9jiFSCJy/MuAGu9/pebmQiuuNKJTPth9VUlDHgayThJJ/3wl4/npU4YaMPSmAmZ8n54y3X4L2/+9/96HfWiKVNmmLGIB3STVPeifjg1JuuVyzqa8hnTr2TGUzo2lmrGDG2qSTlW7JpuPhPlWqXSKrubhPkN2B43mLEkXVyvdrlejsdJxM9kNJ/x1PhcKC6YoTegp0mmF3eLqi1V27jjLImU1HJsXkVyVvY3WzwU3azaLC+f6g29pJgZXu1WGsEVE/2wEpbtTsHSid/B09IvQ79TyXka83ggVUqfY+X8WdQ7EYarlG41kKmhXOfva7bTG58x9WmelSi7GT3kKBGJuXWPHb55TfceTCU9QvCB/z5PFNf9MKo27l5B47EvoNIud8q1/LvSc1UbPW1uBfcPVK3U7NOWl+m6LJwzIUYs+mRfw8rJy1PvjtsL778Me1WWXEkzlHMVcbuZshl/85/vhoPgH1Iln+mlMRFc0msPSht7zpiejiRTcfCRzzIqBzyoVWr1SrvWeHUj9Oy//3EZXHKVyDj49zlLTWISrv/p0ib4kY0Er70u5wlSwuOZ+TH2j+pzv5E1V+BtHulGwmXW3LjPn0TTN69ZbyTj20sVKGlscQl0Fp0nSpsLps0lU1RDqqGtr+Y9/RkLeU1lSAgqtQmVW7ufvpdUn8PgWrGsH+rf50zxMGBpRLvp2xq12BgY2q7aTLKe0GZoP5LbyNyfS2X/xXz8gXKjP9OprQrlZ+QykLi8zfthSo2CbSBU8okah1QO3a8w+ETFlc6kUuYewX54ezHTXCS2GalQ2WM9LUUSnydCuA3bZvCBUP71CVN154j57B29erev26zQbexrXTndb63eiY/HPDIXml4z68k5VZ3hNL4ORmKuPrC4HzYrHZubONH0tuodl7U4obfRbND97RYTE8o+tUv0GX5LzHQ4Zdky1xl9jmU2R4LKrcsoE9mU+Xy62+T5zM92uVzmxW2tZdO2P2lgbjM+pga1H/4wS0vC+K/D2b0DnPkDkb53INJ5qv67uWTyL+k+p6JvaRuflYaH9cyb+5VkdJuXeHs9vUX6m9/LlWhfVOmHL7mSip1gt2stnM5TTaX9vL6Mpfbvcgfd0+9ZvgZfXfyV9t6+BKI+oD4coj7wNLbtqW3d7tUIW2fy4u2q0EpTzeZGfrTt9hkX3PC8Wcp7ddcHnc+MXnZItGF/J/HN1soxUcy1fvdaGd/uTXTegE10kEnqlvMmc72VZFFEOOCv0FMW591sk9o0lyvay8yy/azWVxqmZXvr6veEcm3/+rSofaTrt7TKX0iva2/8hPRsdh+XoG1ityX4xR7CPqB7zvy1Uj9EvSK1hNUW9VKu1dcRE5z6h0XTvfg+vvUKqKutN7q1ZhhEtmtVafzVTmzxuvIua7WTcrjn999rB7/Qa/lOJe+1iE82e61tnZVWk9Gys3LP6b/rSm9VX31n/vSv9VaaSh2vx64PItRSLLDdXD+UykwlvbZsmkTnirDLpUX5ojrmeYZUhPuv+NXdi/b3cK85mUzNh2QSqIQ+jZkqzi+pG3a981duZmHjrttd3ChnhWV2deazPeJXXHy037Rlnz8MpkRstv9f4IU7b6U/shTNXc+kb2cjSaLJ9vRRoiLBPcDr5HNe/Vr5jrwTRD1ftCvHUs+7TarmXyNUVO5vpHJTLb+r3fHFiOTIlzvtohKt+DGljjtXM8ZtkN2haZva1SOj1SNfVoWu7GcnhDvnifG9lAfxXdViNxeLlP6jxOJTJWJnN4l4cLm1M15SvzGV1xd8Qlf8xO+pKDryK1kuVm1H9uwBMz9Tl7mxf8jV1v1kvrCYuHH+6XxEBozhst/KQZbfePEc9ehXMFf0Af8YvG016+2TaumsdT4oNcatZql71q2W2rVaY9DoNpqd09M/78xGzceajaoLk5FXgYss0E9fIReGlBypF6y9VlOdMWOhIAn1gNc5zh9Ltwu89jYr4PWL4HXtmWX0RnqHltGbCb6MjH4EXnsr+j0DL7TzMWln4PXGoAvwemWYY5/RDOD1vZH2rw1L/wV47Zpi4PWmtRx4fW8wc8uYK6zXD5vCvwPrdf2Z8XojvUPj9WaChcfrOvD62IemgNfA6796shDw+vnx2jXFwGvgtZsxgckhi5kYmByyMjHrgUlZjWfG6430Do3XmwkWHq8bwGvgtZv//LLTnTE5xE2hwOSQLZNGvpPJIa4pBl4Dr4HXmHtNa9geu8Yinw/8bGssNtI7NF5vJlh4vG4Cr4HXwOv7K3Ux93rHpX2Ye51OrM+Cv2ByiGuKgdfAa+A18HoPvLbOSJ5zCfNGeofG680EC4/Xbhkr5l4f87plTA7B5BBMDrnzvHWsSxvhUcB6htriqQRzrzH3Gp5DdvQQtOpLjby5LT3oPJtRe9Ol2/ZsHBrGd85H4Rn9gSd52EkepphhDSV5eXhOp3uYhYJZKN+5i5I2zOTg+NzhLXrgY+qBV32EvZwHQO/B48U5ftdsHJrjd85H4Tn+gScBx387fkRhj4c9Hvb447fHd8Dx4HhwPDx5u7ggj59N7l2FvDjH75qNQ3P8zvkoPMc/8CTgeHB8oYLgwB4Pe/x3bo/vguPB8eB4cPyeHO99krw4x++ajUNz/M75KDzHP/Ak4HhwPDiemr0vBIrF8lMsP12LAv4MvsmreeiiRdxZxP45tpB7iP2D2D8vGFrTez95cZDfNRuHBvmd81F4kH/gSQDyAHmAPEDer3KP+ZiCwbufedxmeEF/fi/oVQTxxErXc1jkYZHf0yLv/ay8OMjvmo1Dg/zO+Sg8yD/wJAB5gDxAHiAPkK81Bo1uo9k5Pf0zDG5mItW9qNrshy8A8ggXCpAHyDvncfAIuccU+U3PJp07lzXE9+/H48DN36wVw5PNo3J3aOx/4svrFl4NPP4BIRIgEiASIBIgEgokEhD0FCIBIgEiYbqntX/TbcqjMLxp3cfaJUDkep6ZdzL2iqJaX0iKDWicaB84ynvc9Im5y6Mpn9m67O/Aooin5om5O7RIeGr2Ci8SHv+AEAkQCRAJEAkQCQUSCQjdCpEAkQCRsK9I2PTJUiSR8MTcHVokPDV7hRcJj39AiASIBIgEiASIhAKJBASghUiASIBI2FckbDp8KZJIeGLuDi0Snpq9wouExz8gRAJEAkQCRAJEQoFEAsLoQiRAJEAk7CsSNp3JFEkkPDF3hxYJT81e4UXC4x8QIgEiASIBIgEioUAiATF6IRIgEiAS9hUJfmmqnrKY+8UAB15lsJHeoUF+M8HCo7nzKmdpW4okRuU+xsqN0LkInYvQuccfOreK2Lnga3TBx9gFR70ZU584OUmOXtBVv1/V+Xx8vZHeofl6M8HC87Vz9ga+dpVayPQYKzf4GnwNvv4G+BoxbcHX4Otj7IKLwdd+QeTz8fVGeofm680EC8/Xzk8a+Bp8bQuBnzHCx2MemQttbMkgPe6CFkU9c2P/s95IxreXKlDSuJems+g8UdpcMG0umWLk5CoMrrgy7+nPWMjrfsiFSDKdaL+ffIZL9TkMrhXL+qH+fc4UJ23zY0pur+od8psVBsZtVLuVpvVxvHpktHqEpRHdqh9G4Gvw9fHzdQ2hZsHX4Gvw9b7zQ/xawufj6430Ds3XmwkWnq+dizHwNfgafJ0HQg30537YtZg/cqUicX/n/TCVKQkBbVTyidutofsVBjQuSOMeVYrGQZcwzUWS0vHcO+7qtKt7rnKF2RLLoZn75X14gYRgJkkDc5vxMYsosR/A198AXyMCLPgafA2+3pev/TK85+PrjfQOzdebCRaer513LvA1+Bp8Db6mdsANVtAYRhrbwYgPNFAhWDqhMYi09MswbysyN67hxzNofGMqry/4hK74id/6dTULQywd+ZWJjX0DZn5ms3wNzsq5Q6627r/kygbt2LjP6Xw0EnyYfF6/Fb+xgy82a/QrmCsSSH8M3raa9fZJtXTWOh+UGuNWs9Q961ZL7Vpx1jfWEJgVfA2+Bl/vy9etZ+brjfQOzdebCRaer51jK/A1+Bp8Db4GX89EqntRtUmTmIzJeuWyG3Ng+tUsiZTUcmxeRXJWluNxEvFyrNh1kk7KtUq1Vo6mTBnXmjqwd4hPP+OLkXA/suRKmvOZA//V30l8k4cjR0xT8DX4Gny9L19vDoe2FuFIn9OsvWs2Dk3jO+ej8JD+wJPAESAcAcIRIBwBwhFggQzliDsKkAfIA+T3BfnN8PMvAvK7ZuPQIL9zPgoP8g88CUAeIA+QB8gD5AsE8ogNCpAHyAPk9wX5zRDxLwLyu2bj0CC/cz4KD/IPPAlAHiAPkAfIA+QLBPKI3wmQB8gD5PcF+c0w7i8C8rtm49Agv3M+Cg/yDzwJQB4gD5AHyAPkCwTyiLEJkAfIA+T3BfnNUOsvAvK7ZuPQIL9zPgoP8g88CUAeIA+QB8gD5AsE8gjmCZAHyAPk9wV572tFzGfvZOzXz78IyO+ajUOD/M75KDzIP/AkAHmAPEAeIA+QLxDII2ooQB4gD5DfF+S3BPG481pDfP9+PM79YxXDmU3nMbk7NPY/8eV1C68GHv+AEAkQCRAJEAkQCcURCXWEPoVIgEiASNhXJGw6TnkUhjcp7LhrgsgPJjPLEYNqfcHyG9A40fbkiQ4ySaHKfWLucusP2NZlr0lYZCN/PDF3hxYJT81e4UXC4x8QIgEiASIBIgEioUAiAfFbIRIgEiAS9hUJm05ZiiQSnpi7Q4uEp2av8CLh8Q8IkQCRAJEAkQCRUCCRgCC0EAkQCRAJ+4qETYcvRRIJT8zdoUXCU7NXeJHw+AeESIBIgEiASIBIKJBIQCRdiASIBIiEfUXCpjOZIomEJ+bu0CLhqdkrvEh4/ANCJEAkQCRAJEAkFEgkIEovRAJEAkTCviLBL03VUxZzvxjgwKsMNtI7NMhvJlh4NHdTSC1tS5HEqNzHWLnLUW/G1Ceu3ryOevHFSNj/SXzj69i9hYSptB/ZLewBX4Ov/wK+tiXuUmpf2oxtTiJq4+X1BZ/wNP6J366XQzryKxN+32L+Ou0bMPMzm+X9wqLM0v4hV1v3X3JlF5Jt3Pt0PhoJPkw+r9+K35gLbWzW6FcwV0k//GPwttWst0+qpbPW+aDUGLeape5Zt1pq1wrE3AioC+ZGt3yM3fJqr6xvZyOZN3pRoiLB83Zy2U4h3t6R1/Nus+bN3GskvXX1M5jbBIIZV6mFTI+xcoO5jQoDlkZTqQZGWZRzZT87mRtSGMZz5UjGt5ckS0hraDM0t4I74ZG5P/5AzMcfLlWgP/fDLnkMCEauNBCe0d95P0xlysNAG5V84nZr6H6FAakdKjfVmruEaS6SlI7nHgdWpey9CijMFv9YzdzXwcODTlRikzQwtxkfs4gS+2GWloTjXdbj7N4BzvyBSN87EOlccPsHd68pfxVEy5dMMfs6BEsn/ZCnpV+G+en0zqjMmRt7iVd5YO5ZWY7HScTLsWLXSTop1yrVWjmaMuU+C72vBfbTTy+M6UeWXElzPnNiYPX3UjHX0RcfeV9cb3SpMw4ilvVDlcbolqkhInGtWJApTf2uVGYqJ4pl0yQ6V/LbGWoGczu7CuzcGx6HwNxgbm/4JuDylm8+HvPImgU9K2iHYQvGWsBroKQXKjqLzhNqPS+YNhbTLPIGV1yZ9/RnLOQ18ZoQSaYT7ff3Q2Ljz2FwTe1sP9S/z5kicBU/puQeq94h/1phYNxGtVtp0oZaPTJaPeIxux9GYG4wd25d/9bs3AhTC+aGnfsYTWFgbjD3di+fYG4wN5gbdm7YuYs5twQRZcHcYG4wN+Zzf8FNPeZz29GimnX6HwZxQibIpp3QbrfILPpbYqZDX3bygXc1GS0d/bvz/H4msinzMzXrq2Pt/nRnkZVzw9VwGl+7raVl1gcQ4Cmvx240/bsYxMLcEti5Yef+Ru3cCP4K5gZzg7nB3GBuy7vBSMzVBxb3Q0fWFrPB3Fsnh9vJvncTdUUymZoPycQvXr2TCDrzUmHEr7j4GNCsjJbVHGEwJSFj1ctivas7bzntA8wN5gZzf5vM3UAsVTA3mBvMDeYGc4O5p4rzS5Pb840z0JMxf/uCTDA35nNvtBlYQwm/JV9bQ9lAaFIwN5gbzA3mBnODucHcWEMJvyXwWyLH5lUkD+S3pIFIn2BuMDeYG8wN5gZzg7nB3GBuMPdhmRuBM8HcYG4wN5gbzA3mBnODucHcYO7DMjfiUIK5wdxgbjA3mBvMDeYGc4O5wdyHZW7EoQRzg7nB3GBuMDeYG8wN5gZzg7kPy9yIQwnmBnODucHcYG4wN5gbzA3mBnMflrkRhxLMDeYGc4O5wdxgbjA3mBvMDeY+LHMjDiWYG8wN5gZzg7nB3GBuMDeYG8x9WOZGHEowN5gbzA3mBnODucHcYG4wN5j7oMzdRBxKMDeYG8wN5gZzg7nB3GBuMDeY+7DMjTiUYG4wN5gbzA3mBnODucHcYG4w92GZG3Eowdxg7qNn7uxSvXnNehPFYvs1AyXNb4mZDoHSQGmg9HGhdHwxEpdSB1dM9EMTlt+8jnp6Kq8v+ISn8U/81h9ZjFDTkV+Z8PsWFjTaN2DmZzbjG+cOudq6/5KriKdm4/zT+Wgk+DD5vH4rfmMutLFZo1/BXCX98I/B21az3j6pls5a54NSY9xqlrpn3WqpXas1Bo1uo9k5Pf0zDG5mItW9qNrsh1Njsl65rKMpnzH9apZESurDAg+CAAJ4ADwAnoFQvq1jkW33qqHlJz1lcd7ONauVimtiaS8z72Sct7B12u32l1fIwm1NtEMwHWRS98OOO89dbls3W+keTK9rb/yE9Gx2H5dg4wsJNh96QPecruVnPZGkAUsn1O20aj71QEdM8DjvnOy5OZC609Pguh92m7Wmfy1SJA5WH3hH+WtePVPJeRr7/SK1l/LxmEe+M2I9OTdcAXiOC3h0rl5SaYuDq3L+0y53bH5sWwIIi9yVUc/ceP0zkvHtpbLqB7ZD2A5hOzwsSt+L7efb93qjSw18ELGsH6o0/k6b+pW2acbUJ+5aKX07G8lcqUWJigTPxd1SXMGL9JGLE9BNPbYdcUSmB8WCTGnqiaUyU0kkmE2T6FzJ1LhGgTrpQDDfUQuZHqMioVp+V7ut2cbW8iS+WTeigG4slDmq02ZobgV3iJe5P/5AzMcfiNv0Z9IHVkaMXGkgmxL9nffDVKactIVRxDR2a+h+hQG1q1RuqiQ+6BKmOQkSOp6rrgfkhcjlnpjPlsKu80XZsyZUqMSS6jG3GR+ziBL7YZaWhDPSkRJh9w5w5g9E+t6BSOcK0j+4UzP5qyAT3yVTzL4O4cQVT0u/DPPT6Z1RmfO0C7o5LN0gitqR98UgUW8T0WTf4t9Tt7zaKy9sCxgZXRgmYSiEoTCZBCohtjAwFMJQCJQGSh8WpWHWAkpjzP0YLVxA6eXo/ZYxfqA0UBoojTF3WKVhlX6m6auIeQaUBkoDpb82nRTTV7fOz8X01WzK/PSE+uqAt5qMqEQ5ibOcQuu21mbXfncjSZjgYVRIc7yjqVQDo+wCIzeimJ3MDU3WNX4etp91iwkeK1NCMMGj+CvBEMoMKA2UBkoDpbESLF++tu42IZ9I6tk4n9N7t8qOCaC0+GiXfLSslAiDaT+sNakoLRZHZnbO2XIhBFAaKI250rkrh2/NqQIilAGlgdJAaaA0UBoofeXXpN250RDJZGo+JJPcachyOYZ2iEwGVH7FgdJhtVuhuEuB+jEl/yn1Ds2uomV9biM/4g3R/TACSgOlv02UbiHwGFAaKA2UBkoDpYHSQGkhkkwnOgyuuCJnKcS/n8Pgmpyp9EP9+5wpcoMhVoHZrAIzUNpLrlVfIPDg8Z24+m0hnhhQGigNlAZKA6WB0kBpoPQ2X9twhoeoGcmVNOczF84jW/m9dGXZQpgwoDRQGigNlAZKA6WB0kBpoDQC0OUx8Ghpg3f+Tj9W8Xk7SiMAHVAaKA2UBkoDpYHSQGmgNFAaKL0XSt8LQIcYD8cW4wEhWhCiJQ/iehcr2IZv/S0x0+GUZRRhy7ucWgYdXhTxx8RWhjM8OMODBw8sO8Rc6UUYe0Q7tC4wV7B7yNXPFLN0PXLnVF5/L3OlEe0QVmlYpWGVhlUaVmlYpWGVhlUaVmlYpfeySiPaIVAaKA2UBkoDpYHSQGmgNFAaKL0XSiPaIVAaKA2UBkoDpYHSQGmgNFAaKL0XSiPaIVAaKA2UBkoDpYHSQGmgNFAaKL0XSiPaIVAaKA2UBkoDpYHSQGmgNFAaKL0PSrcR7RAoDZQGSgOlgdJA6UKgtHVleym194RgwrINCqHJE8IFn/A0/onfbvhI+JUJvw+BNL4WSKONmHQAHgAPgAfAA+AB8AB4NmDqdD4aCT5MPq/7ouK5eSXq0a9grpJ++MfgbatZb59US2et80GpMW41S92zbrXUrtUag0a30eycnv4ZBjczkepeVG1S9Ghjsl65rKMpnzH9apZESmo5Nq8iOSvL8TiJeDlW7DpJJ+VapVorR1OmHANSaINFFh4V7qCNyGEAHgAPgAfAA+AB8AB4vnngQXwnAA+AB8AD4AHwAHgAPN888CAKD4AHwAPgAfAAeAA8AJ5vHngQKwXAA+AB8AB4ADwAHgDPNw88iGgB4AHwAHgAPAAeAA+A55sHHsQdAPAAeAA8AB4AD4CnEMCjs0v15jXrpdI2zLQiifVEurajvNjDx2MemQtt/Lolf2XUMzf+DiMZ316qQEnjGjidReeJ0uaCaXPJFLPL2IMrrsx7+jMW8rofcnh4gocneHh60MMTVbQs936gbW3LhDQnijP7W7BbObe1kX4mKR/YRYV2Y6LkPKO1hl5PaMPSmKnYu5y4Yup2IIVUuSeKxevnri4n8c2aCJEq5mptj7lxjiuM+sDH9tf4zT//4zK45CqRcfDvc5aaxCRc//M//f30750e/enatsKdShcNGC2RdI9hBnKemjX/FpkJKH3beLiMvqlWK8Glkv9DjQ6PA3bFEsFoDWcwYoKlEbf3vXItUUZPbRuk5f39hssh/cyznDd0Ig2o6ak3urVmGEQs64cqjSlF1tNSJPECT91aTkvrPossinhqnJcJag/XzqSXncZ+v285l+2k3aAPxNVwGl8HIzFXH1jcD23fTw1knGhqKWv1fEP1w6Y7QoeoDf0tMdPhlGXcvw9KU01Gy+y48/x+JrIp85msN+3OPIv+dJetZR7c1kr2VlrxGVOffBnQt7ORzD2PRImKBM+dlSzXzsJufeQyrtukwv99FnmqSFSTeT22jx+xGVcsyAhT+qFUZionimXTJDpXMjXuDVFVDATzSCNkeozajWr5Xe22bohcRwLwc7zqgFebobkV3NFv5v74AzEffyCk1Z/7Yde2yyP3+clHAP2d98NUppxA16jkEzXTqRy6X2FADSkVlGrNXcI0t53zshl/oJMR1MG4/Mxn76g3dW16Z7VNX/RJm50QFdEkDcxtxscsosR+mKUl4TwMUIPP7h3gzB+I9L0Dkc57D//gLpn8VZCPKkvx9nVQ7zsheE9Lvwzz0+mduX7WC4Kj8HTlXW8xwpsL+jrrMPSiTiHoDVabuWewe9nzTq7oqLjL+GpV9mizU+O+rah1F0VtDSoclCyg4ksF8GGNWN7Is3d7sc39hWubIuY4dhfKPPl7tbI3YV726NmCWrX0b7/8XKrVdybKPH9UQW020/lsBxheySZdsAThsVQzRjAc8zd/+z9/+1vl/wX/9z8/8Pi//6vkNv8rcA93d9KO7OzeyRod3yVKRxZZtif5h9AzKc10DfW3VoN6vVMZDBql5lnrbalR6Q5Kp2/rtdLbdu2s1m3Xm/XBYMU3SuvRvlEauW8UW9BbvXma/D7nP+Zt4R8ee5vt0tnpaavUaJ7WS512u14adE9PTxtvqye1eu3PO7cq98uX9oC77AKPoKHKncK4WuE78XWXgJtfjd0sXlen2u7UK+1KvpDo3oFqpe58yFAKa+KRyvaJ03hfvJGOGF0xsedIlZAsor5Hpj5fsyR9x27y+66cGHPBzbrrHXazdIc48gqDSuX5zAR3pb0f/iuxmmKCelk5VxGntvoTJwmVu/ubsf+R6mMSfXpHr8ZnwPXJ7m6UlS8fNHTRqkNGskflKmebPWzZrHrBOKbelrTjLKOc6HQSBkxMqMOPjPoqVO/e7ladwsvF3Jc7/i+rz69b6UotX6H+Omsd6fKpJCVrX0XgNwaGtt33Amgt0eyvAS3rZUqf5BYbV9sXlZq6UHtswTVsbuR/cCV9Ebdba62IGIkTKsF+n/103qQ0Eu/HY80XRhpfGqmWyndzYZKLK0EVaKXDoIZk2XbQnbY2Inf5++sbEZFXe9sm/KtKYtuqrSmdFTw61nrspNz959vSbG5HiYO3oikhw8e8lB1GX6LJOm5tuNlk3QHKA02WO3TKzTXneTM18hs5aSzbm6eWOmtNXrWwO+fMrjV0v+47cJY0lkVW+PWJOwUfUUMfvWYlOagxxML1sgjZgvVrot+nIi8wOcXSQEB2SkaVT/okt0NMWOY7s20SrNk67b4dVM9K9U6TJFi10Sl1K9XzUrtz1qlUau12e1BZlWCq/mgR1i5X6qs6TNV7MTPsjDJKpf19ZnlfV1tOo9ljtP9ndqLdQ6yQBel+d3jrpVtMAN4h+pm1UNpBYhIS9/BiMcC1qOVkrXUDNsFYJMTl3h63PnjiLWoTTcPW/keQSb00xq0P8sSfNu1vrTujCJnlCIi2DLWs0fmEmOMuHUfx+QDO1xNbGvucDXCZWPWLNkCbGNlelo+XMdLw9g9xnB+6sZkZ0yv6KD/QOFpAgGdvRsRPJu38lx158vvIvul/edlhb2SvN4ng9mq/d/HSnzxVYBdJkGfEm2MfYYPMVJKaITdkFbXvKOpNncnsnIwcXLmqlbEJJ9k4SVLt7Lqv2jQeSK+HflAZyv9bu7874C+3W/WQBKq9i99Y3osSm2dec20kvq0atzvVk3q72SoNGqe1UmNwMiAvsy2yapx3Ts86rXr7rNpaqcaNx1biSrvcKS88zdqa2vADyXnt9XtiJbP/oFqjqV1K7NjqXbwBqrz3r1hU2VVnuW9rnbeDyuCkdF45PaXHIINQp909K52TYaZ22um+bZ/8lQah1UfIGyDXaLy9yWiUmwa2Bcs0P0+4iE/nxlAzda89WnsJ9g7bTZHOQe8wI8H25v8DUEsDBBQAAAAIAGZAlVy4rjck3xUAAIgDAgAUAAAAeGwvY2hhcnRzL2NoYXJ0Mi54bWztnVtz4zayx99P1X4HLpOqfcihJeou7Wi2bNnaZOPJeK1JpmovdQoiIYlriGAAyJdJ5bufBkDJkmzPxbHl2Pt/kXgFwSbQ/HWD3Xj1l8u5CM650pnM+2G8Vw0DnicyzfJpP/zx3TDqhIE2LE+ZkDnvh1dch395/Yf/eZX0khlTZlSwhAdUSK57ST+cGVP0KhWdzPic6T1Z8Jz2TaSaM0OralpJFbugwueiUqtWWxVXSFgWwO5RwJxl+fJ89Tnny8kkS/ihTBZznhtfC8UFMyQBPcsKvSwtiVuqdqPEeZYoqeXE7CVyXvGFLW+KCoubldVdvSYhpczwuFttBOdM9MNqWLEbBcunfgPPox9HfqOSizzl6UCqnB7H2vHzpLcvDFc5FTWQuaFal/Kaf5bE50ydLYqIqlvQTY4zkZkrd9vh61dU9mAm6RaCU/7zIlNc98MkblyLoPGlAqi2K51KrXyudF9xo6fNleD+huJqzd5tZXVdV4UhE2LMkjMrhrWDV4de77cnbgvDnlVk59KM5EIl3K7mbM5f//PNaBB8K1X2gYTGRHBCYg+iG1sOmZ6NJVNp8I7PC2oHPKhVa/Vqu9bYuxR6/u9vT4L3nJ8Ff1+w3GQm4/qPJ/Zy79hY8NqrSnk5uuxkbr5L/Y36ut+omGvutoZUkHBVNZfu4WfJ7PUr1hvL9OpEBUoa21gCXSTDTGlzzLQ5YYr6Rxza3mre0s9EyAtqQUJQm82o1drt9LSk+hAGF4oV/VD/vGCKhwHLE9pMT9ao5crA0HpsK8l6QpuRfURupXA/J8r+pXxySrXRH+jQVpXqM3YVyFzdFv0wJ5Vg1YPKzkg15HLklsLgjBorHUltzN2Cfez2ZKa5yKwSqVLLYz0tRZYOMyHcitUYfCCUF58wsTtGLOZvZCnSbrNKxVixrh3u19ZL4pMJT8yxJjGznlxQxxnN0otgLBbqlKX9sFnt2NqkmSZp1TuuamlG0mg2qHy7xsSUqk9aiR7D+8zMRjNWrGpd0ONYVXMsqNW6ijJRzJivuyumrGd5tKvlqi5ubaOaVvvkgbkq+ITUaT/8Zp5Hwvinw9nWDs78jkRv7Uh0eVX/3NxlyifpHqeiZ2lVz5raYT3zeruLjK9ce7dnkwzptyzJtWffUGnBt1tJjU6wqw3tpstr5tI+XN/Ccvu72kBl+i0rIfjO4s+0Zfv2h96A3vAYvYHnqdWmVrdt9QfbY8rm7TrQmqJmCyPfWa19yAU3vFRK5RvdvX+Gc6NXLyNasctZernROdLjMem7m9v1TF4c8ynV7Hu+1Z1oz0/0+loHCHv0gJkf6DV3Y/uIq1u3n3B6ORI6bJdzsBjTe2yUfdgsil96HZr0aClYKFL6vwyOWs16ez+ODlvDQdSYtJpR97AbR+1arTFodBvNzsHBr9fs0PxSdoiX3ODVwbIKtOjFtnyflrJdCn1Dnu6dtjwBcr4dUh9Azg5wIOePGwMPIOc65Kz3PmV0PYCcG5DzTuTchJx3IucW5LwTObch553IuQM570TOXch5J3KOS8sRBuHHvOkPAHYxLEIaidkBQccwCXckaNiEOxI0jMIdCRpW4Y4EDbNwR4KGXbgjQcMw3JGgYRnuRtA1WIY7EjQswx0JGpbhjgQNy3BHgoZluCNBwzLckaBhGe5I0LAMdyRoWIY7EjQsw90Iug7LcEeChmW4I0HDMtyRoGEZ7kjQpWW4jIKZKuaCnLaCiXx401SXcUpTHRSSYu/KyKjNYCiW2A/3/Rl6xtLyQ/0mhS65FwJtZWYVJhXX1+KPVmFVLpBnSuEJ9tdfi8Kg6Pxbgq/uuF7XFvwbrmer+2UXtJFUt13wzkAwe4PuPkuxUrgZBb9RwFPcomA0F9ylEyY4hYEtI7SWz8eHKQUUUVdvdGvNMEhsBJ3K00/Gqi3FVUamrceiuZhOv30r4OmO4DQfO1YGp1EQ4s3gtNti0rSajlcxae4+/XNdC0qrr8vMH/6poDRNrY7XUxdqRoEmigU2mq0fSmVmksRWzLJkqCi20l2L6kXBND5skUKF3b/i59eC9mU4MWfTmTnNpoHK6NGYmeL8hKLtXBDeJwqzMYXX0XXLgsqQwFV1deGrPebnXLyzz7Rl7z8MZhSYacP8llGE7ri1wDMbKstdCBq677a6eC7dt9uk3vup+FL02RfSZ6nzXnfau76ltNtPZBlT78JqqYN/XsBdaQgg4O7OwMZ66aGFxnyuGhPA45MFAHisdQB7pbSPADwwUn5/RgqA56kzDNTLkVIAD4DHZ+2Ch8d5YODhgYPWJXnbcDYufdkrD/RvdtDCw/Pf5JUF8Dw58JRfLAF4ADwAHgxp9UOMSG8NuT/uiDSAB8BzSx5JDGndloD7AVKG1MsvhwE8AB4AD4AHwHPjG0MAjxUJvrvbGDW/53d38PA8uYenjOAB8AB4ADwAHgAPgAeBBo8WaADgeWrgaZSRtAAeAA+AB8AD4AHwAHgAPNexYS9sWrTGMpCtnJwRYR7LMPjnEuaBKC1EaSEs/UYWi+fSffEND77hwTc8NhhgN3l4GmVmKXh44OGBhwceHnh44OGBhwcenpfr4SkzPAJ4ADwAHgAPgAfAA+AB8Lxc4EGmZb5M47uZ2fm5+MQxpIUhLQxpYUgL2dGfQe4sfLT85B8tI9MygMfOJeJztyPx4HIeByQeROJBJB7kq+mDEJaOsPRz2yHKKCd+adyESEmPloKFyvrhL4OjVrPe3o+jw9ZwEDUmrWbUPezGUbtWawwa3Uazc3Dw5MCDTMsAHgAP5tJaTW6GxINIPGjeZ2Y2mrECwFNOpPdA89/Bw/PkwINMywAeAA+AB8DzNHP/IkoLUVqI0tphlBYyLQN4ADwAHgAPgIe+1a1WwwAfLeOj5Zf70TIyLQN4ADwAHgAPgAfAQ2Gacc2LoZxEGUNai/FY8FH2gQcv4RueJjItA3gAPAAeAA+AB8AD4NmgGj2TFy8s03ITmZYBPACeZw88V/OxFF5ZJZlKBC990ivDDMEJz7yf42MffOyz9bHPMnleLq0GJ5fUMjXBagNlaxC53c4nE57YuCrruErKNBZJz1yeKLt7LNOrE2UHM50m1EUyzJQ2x0ybE6YY+b3C4Jwr85Z+JkJe9EMuRFboTPvt/XAm1YcwuFCs6If65wVTPAzEd7nuh/UOZXgJA+NW4m6VfCyBWt8zXt/D8oSKIi1mVBj4lYGh9Ti09dTF/sLQ3brbWFbb3bc2I3MluBNC4X78naV8ckp3pj/0w66txtjdIMWU0e+iH+Yyp4pqo7Iz+kA/lyO3FAZnXOXe20enMM1Fll9/wC9Fli7fmdp+fmRVi1e+wviKisX8jUz9ts6d0w/r9ZIEM1kemKuCT1hCF/tmnkfCWD1Oj49t7eDM70j01o5El75Jf+NOTKUoeJ7ah2nFIVg+pWeYRz+OysNJZtQufHug9kGke8yndMb3/OoGA//EylfNEh7p6AEzP7D5phfQljLi6tbtJ1wlPDcvnq+R2PuZv3eR9glpn5D2CWmfkPbppaR9AjY72gc2r4H2w2BzejwWJ1J7qHXoDpTOp5VaNa5VkhlTTiRkZixTfNCiFZnbVmTn0gznLvHH+nK2NHqbWynjRR6QHQo8s3i2ZtLPmSLj1bU8OAVvJNVe+3hnZbk7G/l55qSFUxBOQTgF4RT03sJHdgqCbsxeIucVOZlkCa+kil1kD0c3yA8PRyEG4p/9QDxmLAdKbw25WkeLXBiuRrP0IhiLhTplaT+0H1jS6GKaaRo+rdXLFRrqbLo9iC198lALOArhKHyc8XWg9GOiNGYeAEoDpYHSCOJBEA9Q+ncRxAOUBkoDpZ/dnBZNhI0ApYHSQGmgNFAaKA2URtSXm8/yZUZ9wSv9mF5pzJYClAZKA6WB0kBpoDRQGigNlF6mG6VECUiq8PmRYJiHBygNlAZKA6WB0kBpoDRQGigNlL60+f1cLoAvSKqAGZ6A0kBpoDRQGigNlAZKA6WB0kDp+6B0C3OHAaWB0kBpoDRQGigNlAZKA6WB0vdCacxKB5QGSgOlgdJAaaA0UBooDZQGSt8LpTEBHVAaKA2UBkoDpYHSQGmgNFAaKH0vlN6agG6qmJsG3E6b/j4zs9GMFTRvt58AfKrdx9h2ISgkzXxe9ROYb04XzhI7CXY5t/mMpeX82U2aMd09IzqBmdVE4rGdJMBtpwnLPjZ9Wccd9/nX67rZB+5/PVvdL7vg07yLMVkg5nLGXM6Y7RBzOWMuZ5+ROumZSz8V8tglaLbvcucr0EUyzJQ2x0ybE6aYfa8H51yZt/QzEZKmnuVAaaA0UPpeKI3ZDuGVhlcaXml4pZ/GEsbE4Zg4HBOHY+JwTBxOxh45PpMeLznWLQULlfXDXwZHrWa9vR9Hh63hIGpMWs2oe9iNo3at1hg0uo1m5+Dg1zC4nItc95K42Q9nxhS9SsU5Z5nem2eJklpOHjGvdAuzHQKlgdJAaaA0UBofeOADD3il4ZWGV/peXmnMdgiUBkoDpYHSQGmgNFAaKA2UBkrfC6Ux2yFQGigNlAZKA6WB0kBpoDRQGih9L5TGbIdAaaA0UBooDZQGSgOlgdJAaaD0vVAasx0CpYHSQGmgNFAaKP27QGk7V/GJ1ME5E/3Q+FgsPZMXx3zK8/R7fuX3AHjuAzxtzEkH4AHwAHgAPAAeAA+A5wZMHSzGY8FH2Ycy9egzj4ZvY+YwAA+AB8AD4AHwAHgAPC8eeDC/E4AHwAPgAfAAeAA8AJ4XDzyYhQfAA+AB8AB4ADwAHgDPiwcezJUC4AHwAHgAPAAeAA+A58UDD2a0APAAeAA8AB4AD4AHwPPigQfzDgB4ADwAHgAPgAfA87sAHl2cqNevWC+XVjFTVDrriXxjQ2W5hU8mPDHH2tBRFQped2cmPXPpSxjL9OpEBUoap+B0kQwzpc0x0+aEKdYP4zA458q8pZ+JkBf9kCPDEzI8IeHBRxMeUEcrsnNphnOjbW8rhDT7ijO7LNiVXNjeSItZzgczpoxdmSq5KLJ86u0JbVieMpX6lBPnTF0NpJCqzESxFD93fTnbmitbqpSrDbPEXLrEFUad8oldmrz+07cnwXvOz4K/L1huMpNx/ac/fn3wdadHP12rKdyBdMqA0XTB7ibMQC5y4wsuIxkLE9DVrepw1Xwdx9XgRMn/kMrhacDOWSYYRXAGYyZYnnBb7rnTQwXds1VHq/L9iqsfLZYVLtWcyANSPPVGt9YMg4QV/VDlKV2R9bQUWbqEUzevsWV1X0WWJDw3rqKkDTeOJFHnqd/u9eZKS9oVejxcjWbpRTAWC3XK0n5o3/ykHtNMk56s1csV1Q+bbg/tIg36PjOz0YwV3MuDrqmm41V13HF+OxPFjPlK1pt2Y1lFf7ir1qoObm2tems6fM7UmW8B+mo+lsKXmGQqEbxMVbKKnIUR98yNuG6TGv9/Z5OnjkQ9mddTe/sJm3PFgoIgpR9KZWZyqlgxy5KhkrlxEqKuGAjmgUbI/DlabtTLr3u3TULkXiPAPkerDne1GZkrwR37Fu7H70j55JSAVn/oh12rl8fu8Wfud9EPc5lzwlyjsjNS07kcuaUwIEVKDSWuuVOY5vbVvFLjH3nJCHrBuPos5m9k6jVwZ12nL99JN19C1ESzPDBXBZ+whC72zTyPhMsxRQqfbe3gzO9I9NaORJdvD3/j7jKlKChDlWV4Kw56+04J3fPox1F5OMnMvWe9OfAs8lz5xFuM4OaYns4mCvGSx5IeLQULRQ/8l8FRq1lv78fRYWs4iBqTVjPqHnbjqF2rNQaNbqPZOTj4NQwu5yLXvSRu9sOZMUWvUnEgwfTePEuU1HJi9hI5r8jJJEt4JVXsgjCtUqvGtUpi6c2yT9ws84JtVc9zEu0V1xVf78oebT5Lud/W1LrLprYBFQ5KllBxVwP8uIVYuVFnai0kWtdqlsKmxZVuSpij2E8z5v7XcfXefPm+R3cW1OLobz/+ENXqn82TZe2oe9pK5ov5J0F4rZJ0+AqCJ1LNGYFwyl9/9b9ffVX9v+DP/zzl6b//FbnVfwXu1q4P+kxudhLZIOPri9KeZYXtQf4W9FxKM9uA/Fu7QL3eqQ4Gjah52DqKGtXuIDo4qteio3btsNZt15v1wWCtC7S+uAs01rpAq7fIs58X/LtSD/7ikbfZjtpHw2rUqNVaUbfWaUVxq3M4OGy2Wwfx0a+und7atrSH21UTewZKar1H+Bf4hrl0y1Njl0txdbrduFGvNsoZNbZ2dLt1x/B0hQ2zkVr2vrPu7ixIJ4zOmNpjpMrIJKL3jsx9veZZ/oZdluWuHZhywc1m0h12uUqEOPbWBbVKMnCD69beD/9KnKaYoDesXKiEk54+42Q+ldbinP1HqndZcvaGROMr4N7HrjSqyt07DZ20noqRPFGlhXObJ2ylUr2xOKE3LdmN84JqovNpGDAxpZd9YtQngfrzdW7srLvSkLv7pX+35flp/1zU8h3q4fx0ZJPPJFmxVhSBXxkYWnfPC5C1wrKHgSwLE3r/soRE29uXnTrpuX1LpmELI//BlfRN3K5taBExFvvUgktznx6ddyaNxdvJRPOlg8a3Ruql8s1CmOz4XFAHWnthkCJZ6Q7qircqkev6PbwSEWW3tzrhrypLrVbbsHLW0Oi59mNnxm3f3y1q83aUeHQtmhMyvCtb2ePYllBZz9suvKmyrgHlIyrL7Trg5oLzUk2N/UpJGit981tbnfUkr/vWXVpmpw3d0nbqZkmjWOR/3/xk53c+loZ39IaH5FEdIRauV03INqyfMv02F2WDKSmWBgGKA3KonOn90gcxZYV/md1mgjVbB92jQXwY1TtNMsHiRifqVuNh1O4cdqrVWrvdHlTXTTBV/2IjrF2p1tftMFXvpcywQ6ootfa3heV9HbesI6Jl99H2H9i+djexRhZk87vdt556i4nmU6EfWu+kHR4mQ2ILL5ZDW8teTp5aN1gTTERGXO59cZsDJ96bNtU0YO0XgkLqlSNuc4AnPbvpe2tdO0TIJUdAdMswywadT4k5rq/jKL4cvPn0xVaOPuf/W10svtP/Zy9GfpfV7RWMbHj7sxq2sZWZkIjeyVMaQwvIQrKFEfGTO7tcsqNOfhv5Nv2SNztsQfZ8kwluz/Zbl0L/zR8JfI5JUFbEu2K/wP9YqCw3I27II2pllPRmzl02JCcHV65rFWzKyWycZrl2Pt29No0F2tT7e21qQ+W/9fm7Hf50u1YPyUC1pfiVVVl0sUXhba4bF7+tG7c78X693WxFg8ZBLWoM9gfkTGy1osawc3DYadXbh3FrrRs3vrQTV9uVTmXdodjwQ8hl77V9t9FLlSz+Qb1Gk17K7Ljq9Vgsdd7tM5Zddt0nelTrHA2qg/1oWD04oNsgh1Cn3T2Mhp12u3bQ6R619x/SIbR+C6UCckrj6LKg8W0a0has0HyYcZEeLIwhNbWljzaEYEu43VXk/LCjggy21/8PUEsDBBQAAAAIAGZAlVz0Joa37xcAAIeTAgAUAAAAeGwvY2hhcnRzL2NoYXJ0My54bWztnVtzIjmyx99PxPkOtTUTsQ9zaCjucBpvGGx2ZsfdzZrumYjZ3TghqgTUWpRqJOHbxHz3k5IKDNh983TTbfb/AnVVSVm6/DJVmXr+l+uFCC650qnMemH0rBIGPItlkmazXvjm9bDUDgNtWJYwITPeC2+4Dv9y9N//9TzuxnOmzDhnMQ8okUx34144Nybvlss6nvMF089kzjM6N5VqwQztqlk5UeyKEl+IcrVSaZZdImGRAHtEAguWZqv71YfcL6fTNOYnMl4ueGZ8LhQXzJAE9DzN9Sq1OGqq6r0UF2mspJZT8yyWi7JPbFUoSixqlNelOiIhJczwqFOpB5dM9MJKWLYHBctm/gDPSm/G/qCSyyzhyUCqjF7HxvWLuHssDFcZJTWQmaFcF/JafJDEF0xdLPMSZTenQk5SkZobV+zw6DmlPZhLKkJwzn9dporrXhhH9TsR1D9WAJVWuV2uFu+VyhXVu9rcCO4LFFWqtrTl9XNdFoZMiAmLL6wYNi5eX3p33t64Kwx7V55eSjOWSxVzu5uxBT/6x4vxIPheqvSWhMZEMCKxB6V7R06Ynk8kU0nwmi9yqgc8qFaqtUqrWn92LfTiX9+PghN2E/x9yTKTmpTrP43s016zieDV5+XiafTU6cL8kPhy1lwp7+XL1XabQUpIuJyaa/fu03h+9Jx1JzK5GalASWPrSqDzeJgqbc6YNiOmqHlEoW2s5hX9TIW8ogokBFXZlCqtPU4vS6rbMLhSLO+F+tclUzwMWBbTYXqxRq12Bob2I5tJ1hXajO0bcju5+xkp+5fw6TnlRt/Spc0K5WfiMpC6vC17YUY9gu0dVHpBPUMmx24rDC6ortKVVMVcEexbtzczzUVq+5AKVTzW1VKkyTAVwu3YDoMPhPLiEyZy14jl4oUsRNppVCgZK9aNy/3eZkp8OuWxOdMkZtaVS2o343lyFUzEUp2zpBc2Km2bmyTVJK1a22UtSUkajTqlb/eYmFH2qVOi1/BzaubjOcvXuc7pdayzORFUaV1GmcjnzOfdJVPks7ja5XKdF7e3lU3b+WSBucn5lHrTXvjdIisJ498OZzsnOPMnYr1zItbFU/17c48p3qR7nYrepe15XK/z8hefijnabSGTG1vd7c0kQvotEnLV2ddT2vDVVlKdE9Q0Nvs2XTwyk/bd+gqW2d/1AUrTH1nLwLcVf6dN21c/NAY0hs/RGHiW2M7Udm3r5uAHYdtgiurt2s9GP82WRr62nfYJF9zwok8qxnM3+gwXRq+HItqx22lyvdU4krMJdXf3j+u5vDrjM8rZj3ynOdGZn2jw2mpidGzAzEsa5O4dH3P14PERp6GRwGE3nf5yQsPYOL3dTopf+y407tJWsFTU5/82OG02aq3jqHTSHA5K9WmzUeqcdKJSq1qtD+qdeqPd7/9+Rw6NjyWHaEUNvjtYZYE2vdhWw2kh25XQt+TphrTVDZDzw4j6CeTs0Axyfrcq8Ank7DgScv7scq5DzvrZ+1TbT1CfG5DzXuTchJz3IucW5LwXObch573IuQM570XOUaE5QiF8ly39EwBHBI2Q5mH2QHYRVMI9CRo64Z4EDaVwT4KGVrgnQUMt3JOgoRfuSdBQDPckaGiG+xF0FZrhngQNzXBPgoZmuCdBQzPck6ChGe5J0NAM9yRoaIZ7EjQ0wz0JGprhngQNzXA/gq5BM9yToKEZ7knQ0Az3JGhohnsSdKEZrrxgZoo5H6cdXyLv3TTThZvSTAe5JM+7wjFq2xeKxfbDfX+HnrOk+FC/QZ5LbkCgo8ysvaSi2ob70dqryrk2zMg9wf76Z5EXFN3/gO/VW57XsQn/gefZ7H7cA60j1UMPfKsfmC2gK2chVvI2I9838neKmuSL5ny7dMwEJy+wlYPW6v14N6WAHOpq9U61EQaxdaBTWfJeV7WVuArHtE1XNOfR6Y/vODy9xTfNu44VvmnkgnjfN+0hlzStZpO1S5orp3+vGz5ptU2Z+cvf55OmqdbxWuI8zcjRRLHAOrP1QqnMXJLY8nkaDxV5VrpnUb7ImcZ7LZKjsPtX/PJO0D4NJ+Z0Njfn6SxQKb0aM1ecj8jZzvngvScx61J451y3SqjwCFxnV+c+2xN+ycVr+06btvxhMO+FVevlt3IidNdtOJ5ZR1nuXNDQfHe7i6fSfDsNar3vcy9Fmz2QNkuN967R4lvKz/wtZa2wxqJ3fKq9I+DGxwUA3FhNALpJoQsBbqCQfH0KCeBmHUdqD/4LtWIGFHADuPGxuGC5cZYVWG5geHWh27aMiCsb9dqy/IcNr7Dc/CdZWwE3e4Wb4qsjwA3gBnCDaaleiFnlnWnzzzurDLgB3OzEgkTMRxsu+xOE+KgVX/oCbgA3gBvADeDm3jeBgBsrEnwntzXz/cjv5GC52avlpvCuAdwAbgA3gBvADeAGTgCfzQkAcLNPuKkXHq2AG8AN4AZwA7gB3ABuADdbq5Q91aXI6kUUCcAN4AZwA7gB3ABuADeAm8OAmyJyE+AGcAO4AdwAbgA3gBvAzWHATREtEXADuAHcAG4AN4AbwA3g5jDgBhGK+Sr87XZE5KcSBQxB/BDEDxGK7wU0fyrNF67gcAWHK3hZTqdpzMuJYldpNvtEruB1RCgG3Nj1Nnx8cwTxW611gCB+COKHIH58vcQOXMHhCh536dPiYKnSXvjb4LTZqLWOo9JJczgo1afNRqlz0olKrWq1Pqh36o12v/97GFwvRKa7cdTohXNj8m55r95SiFAMuAHcYG2p9WJfCOKHIH7m59TMx3OWA26KheU+0XpwcAXfK9wgQjHgBnADuAHcfJl1bzEthWkpTEt9pmkpRCgG3ABuADeAG8CNX8I+wAfF+KD4MD4oRoRiwA3gBnADuAHcAG7IXTKqejEUCwhjWsp9aXNmvTae2jc3DUQoBtwAbgA3gBvADeAGcDMRfJze8oOw3DQQoRhwA7gB3ABuADeAm68DbvKRss6rmbQdM1mQWFdkWwco8IE/wqdTHluzirUzxUVEiLhrrn0KE5ncjJSdZ3QdnM7jYaq0OWPajJhiZKYKg0uuzCv6mQp51Qu5EGmuU+2Pk4uTVLdhcKVY3gv1r0umeBiIHzLdC2ttirYQBsbtRJ0KmUkCtXlmsnmGZTEl1Qtjo8LA7wwM7UehzafOj5eGSuuKscq2K7c2Y3MjuBNC7n58yRI+PaeS6dte2LHZmLgCkhsX/S57YSYzyqg2Kr2gb+IzOXZbYXDBVeaNc3QL01yk2d0381KkyWoo1PGcLywZeMoTxmdULBcvZOKPtd+6oq7eTEkwk2aBucn5lMX0sO8WWUkYaxik18d2TnDmT8R650SsC1OiL7gTUyEKniX2ZVpxCJbN6B1mpTfj4nKSGdULXx/ibnI2ESOpff5dHqjOzOXVGZ9RKj/ymy2mtWd+YsIfW3EiHRsw85IttvnXXjvm6sHjI65inpl7afeXk4NCacTDBkoDpYHSQGmgNFAaKA2UdjF4gNIesoHSpH04dSRPL6UZLty3AJvb6cr5pLETfV1kAemmCHppP5/YUPMXTJFC65S4m8VEFppanKpY8EK5W89TIHDIE1dO4JwH57xd5zwYCq19E4bCDdMiDIVffRCvBsKvP/GxGCSK8OsIv47w6/emYS2KyKXhajxProKJWKpzlvRCaw+lGcck1TSlWq0VOzT92XBn4Ar6xb0lMDNqnsVy8XliXzQQkh3Ag5lRzIxiZhQzowCer2JmFMDzOYEHsy0AHgAPgAfAA+AB8AB4Dv7bd4RuB/AAeAA8AB4AD4AHwHPwwINw7gAeAA+AB8AD4AHwAHgOHngQ4h3AA+AB8AB4ADwAHgDPoQNPE2HfATwAHgAPgAfAA+AB8Bw88CAUPIAHwAPgAfAAeAA8AJ6DBx4E7AbwAHgAPAAeAA+AB8Bz8MCzE1Z5pphb8MYuEPRzaubjOctphRq/1M1Mu9Wa7UaQS1rjp+KX6tleGIfFdmmXYhWfOUuKVWEatDaQmz+jG5hZL5kT2dBXq0Wx1ym5xWxmevNZbXfdhz+v42JqPf55Nrsf98Av02Mi8CACDyLwIAIPIvBgN6YlyBRzsZ/T2dycp7NApbT6mZkrzkfGRlukAIvGDSI0vtHaaH4RPCFpBTgbcZEDeA4eeBBpGRYeWHhg4YGF58voK1i0BIuW7CxagsCDnzHwYBORlgE8AB4AD4AHwIMpLVh4Dt7Cg0jLAB4AD4AHwAPgAfAAeA4eeBBpGcAD4AHwAHgAPAAeAM/BAw8iLQN4ADwAHgAPgAfAA+A5eOBBpGUAD4AHwAPgAfAAeL4K4NH5SFlHskzajtn5GYts6wD5JPojfDrlsSHfabqqHBfOmnHXXPsUJjK5GSnrce06OJ3Hw1Rpc8a0GTHFrPd1cMmVeUU/UyGveiEXIs11qv3xXjiX6jYMrhTLe6H+dckUJ6e2HzLy0K61yY85DIzbiTqVhnVz2zwz2TzDspiS6oWxUWHgdwaG9gtn7vx4aai0rhirbLtyazM2N4I7IeTux5cs4dNzKpm+7YUdm42JK2Dqfpe9MJMZZVQblV6Qj3kmx24rDC64Ioe8qOpuYZqLNKPzhfO3FKnzUH/AE1wUXudiuVj7l7cbb3Mv15spkStgmgXmJudTFtPDvltkJWG8+zhnOyc48ydivXMi1vYEycYX3G0WouBZYl+mFYdgGTkl8qz0ZlxcTjKjeuHrQ9zF5/Cf8XP4FmJ4A6WB0kBpoDRQGigNlAZKA6VXTDiXVz8x4a3Jq9DndGzAzEsKLXLPyjzm6sHjI65sCKxDt0q3EB0eKA2UBkoDpYHSQGmgNFAaKA2UvrYzPc6gbw35biNPL6UZLujo9na6CoTTwroDQGmgNFAaKA2UBkoDpYHSQGmg9KNQGitaAKWB0kBpoDRQGigNlAZKA6WB0o9CaayVApQGSgOlgdJAaaA0UBooDZQGSj8KpbEKD1AaKA2UBkoDpYHSQGmgNFAaKP0olMb6TkBpoDRQGigNlAZKA6WB0kBpoPSjUBorhwGlgdJAaaA0UBooDZQGSgOlgdKPQmmsSQeUBkoDpYHSQGmgNFAaKA2UBko/CqWx2iFQGigNlAZKA6WB0kBpoDRQGij9GJRuY7VDoDRQGigNlAZKA6WB0kBpoDRQ+lEojdUOgdJAaaA0UBooDZQGSgOlgdJA6UehNFY7BEoDpYHSQGmgNFAaKA2UBkoDpR+F0ljtECgNlAZKA6WB0kBpoDRQGigNlH4USmO1Q6A0UBooDZQGSgOlgdJAaaA0UPpRKI3VDoHSQGmgNFAaKA2U/ipQOjmbiJHUwSUTvdCE5aPncVfP5dUZn/Es+ZHf+DMAnkcBD9akA/AAeAA8AB4AD4AHwHMPpvrLyUTwcXrLt07xgjbiLm0FS5X2wt8Gp81GrXUclU6aw0GpPm02Sp2TTlRqVav1Qb1Tb7T7/d/D4HohMt2No0YvnBuTd8tlHc/5gulnizRWUsupeRbLRVlOp2nMy4liV2k2K1crUbUcz5lyDFh2Dz7Txm1aRnQbeXopzXBBR7e30+TaZ7+NlcMAPAAeAA+AB8AD4AHwHDzwYH0nAA+AB8AD4AHwAHgAPAcPPFiFB8AD4AHwAHgAPAAeAM+hA08Ha6UAeAA8AB4AD4AHwAPgOXjgwYoWAB4AD4AHwAPgAfAAeA4eeLDuAIAHwAPgAfAAeAA8XwXw6Hykjp6zbiZtx0weSawrsq0D5dURPp3y2Poqeb8lf2fcNdc+hYlMbkYqUNK4Dk7n8TBV2pwxbUZMsV4YhcElV+YV/UyFvOqFHBGeEOEJAQ/e6f+34QyonTegkOZYcWa3BbuRS9saaTPN+MA6FdqdmZLLnHwNvT6hDcsSphIfcuKSqZuBFFIVkShW4ueuLa/9C4vDUiVcbakl5toFrjDqnE/t1vToz9+PghN2E/x9yTKTmpTrP//p2/637S79dGxH4a6jOwaM/CNdGcxALjPj0y2MoLkJ6OG253C5PIqiSjBS8t/U4/AkYJcsFYwcOIMJEyyLuU330rtKetfJu/T9jssebRb5LXo5kQXU79TqnWojDGKW90KVJfRE1tVSpMmKTZ0jp0V1n0UWxzwzLqPUGW5dSZLOEn/cd5vrTtLu0NvhajxProKJWKpzlvRCO/BT75ikmrrJaq3YUb2w4c7QKepAf07NfDxnOffyoGeq2WSdHXedP85EPmc+k7WGPVhk0V/usrXOg9vbyN5GF75g6sJXAH2zmEjhU4xTFQteRCpZO84i0sYT1+E6Dar8/5lVnhoStWReS2zxY7bgigU5MUovlMrM5UyxfJ7GQyUz4yRETTEQzPOMkNlTVNyold+1butf7kYRUJ+DVUe72ozNjeAOfXP3408kfHpOPKtve2HH9ssT9/opQAD9LnthJjNOlGtUekHddCbHbisMqCOlihJV3S1Mczsyr7vxdwwyggYYl5/l4oVMCi//zT59NSbdH4SoiqZZYG5yPmUxPey7RVYSLrwAdfhs5wRn/kSsd07Euhg9fMHdYwpRUIAqi/BWHDT6zojcs9KbcXE5ycyNs14beBJhrnzcLUZsc0ZvZ5uEvmhECJJg1CjCgu1kz3MSnRV3Gd9syh5tPqhzf6iqdVZVbQsqHJSsoOJtFfDdCmL5Xp59zIuHYl+4vilmDmLfi5jH30aVR+PlSZcKFlSj0t/evCxVax+Mk0XmiI9sHrPl4n0YvJFHunqNwFOpFowwOOFH3/zPN99U/i/433+c8+Rf/yy53X8GrmR3F30gNTuBbHHx3UPpzCq/9iJfAr2Q0szfHxKlVmtXBoN6qXHSPC3VK51BqX9aq5ZOW9WTaqdVa9QGg42QKM2PDolSL0Ki2Cre7C6z9Ncl/6HoBX/zwNtolfqDCgVkqXf6pU692i8NTk4r0fGwc9zq09PX0VR2a5b2aLse/J5AF1XEgnHtwQ/fW8rSA2+NXa/E1Wo1KtV2s16ocNsnanTKN+gdnZEq9rFT7d6akI4ZjWUze41UKSlENOrIzOdrkWYv2HWR7saFCRfcbEfcYdfrKIgTr1tQraRQN8Fdbe+FfyVKU0zQ+CqXKubUS19wUp4KXXHB/i3V6zS+eEGi8Rlwo7FLjbLy9pOGbtqMw5hRR/RaFirOQ5awdZ/qtcUpDbWkOC5yyozOZmHAxIxG+9io9xL1h3e6kVPvCk3u7aP+21XP99vnSk3fpj6dnY6U8rkkNdaKIvA7A0P77pWBstZc9mkoy8aX0sdFLCjb4NftmsZPe24FNWxp5C9cFVXc7m11JGIijqkGF/o+vTpvTJqIV9Op5isLja+N1FDli6Uw6dmloDa0MWZQX7LuPqg1PtSPbOTv0/cjomj5tlv4q0oTi9xbas4GGz3Vduz0uN3yPdBzPkwTX74j/cNTCuiynrZieK/L2mCUd3RZ7lSfmyvOi25q4ncK2Fj3N3/UpGFNyZu2dReW2fWGbms3dLOkWSyyv29/svOVz6VhjN4ykXxWS4jl63UVshXrp1S/ykRRYQqQpVmAvE8WlQt9XBghZiz3g9lDZohGs985HUQnpVq7QVpYVG+XOpVoWGq1T9qVSrXVag0qm1qYqn20HtYqV2qbqpiqdRNm2AlllGr7q9wiv46aTk2z5+j4S3asXSE2yIKUfnf6wVsf0P99KPQTa56008OkS+zgxWpqa9XKyVTrZmuCqUiJy70xbnvmxJvTZtoF17QbQS712hK3PcOTXNw3vjXvLCJkkyMgemCeZYvOZ8Qcd89xFF/M3rz/Ye2HHxa91QBoH0aGl3XxckZqvP1Zz9vYzExJRK/lOU2iBaQk2cSI+MmeXWzZaSd/jIybfsurHTYhe79JBbd3+6Mrof/hjwQ+RCUoMuJtsR9hgMxVmpkxN2QStTKKu3NnLxuSnYMr17RyNuOkOc7STDuj7rMWTQba0PvPWlSHin9r9Hcn/O12rxaSjmpT8TvrtOhhy9zrXPce/lAzbrWj41qr0SwN6v1qqT44HlB82WazVB 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 xl/worksheets/sheet1.xml xl/worksheets/sheet10.xml 1 0 Report UOM 1 (All) 2 Planner 3 Buyer 4 Make/Buy 5 Sum of Quantity 6 Bucket 7 Plan Name 8 Operating Unit 9 Organization 10 Category 11 Item 12 Item Description 13 Item Uom 14 Supply Demand Label 15 2023/06/21 P:0 W:0 16 N/A 17 Ea 18 010 Sales orders 19 020 Forecast 20 030 Dependent demand 21 045 Payback Demand 22 050 Other independent demand 23 070 Gross requirements 24 081 Work orders 25 083 Purchase orders 26 085 Requisitions 27 087 In Transit 28 089 In Receiving 29 090 Planned orders 30 095 Payback Supply 31 100 Total supply 32 105 Beginning on hand 33 110 Projected available balance 34 120 Safety stock 35 140 Current scheduled receipts 36 150 Projected on hand 37 Horizontal Plan by Value 38 Standard Cost 39 Chart Type 40 Day 41 Week 42 Period 43 Year 44 Dashboard Metric 45 Supply Demand Type 46 Projected available balance 47 Quantity by Day 48 Source Type 49 Bucket Date 50 D:000 21-JUN-23 51 Quantity by Week 52 W:000 21-JUN-23 53 Quantity by Period 54 P:000 21-JUN-23 55 Quantity by Year 56 2023 57 Pivot Horizontal Plan Detail Report Type Horizontal Plan data A1 1 data AA1 1 data AB1 1 data AC1 1 data AD1 1 data AE1 1 data AF1 1 data AG1 1 data AH1 1 data AI1 1 data AJ1 1 data AK1 1 data AL1 1 data AM1 6 data AN1 6 data B1 1 data C1 1 data D1 1 data E1 1 data F1 1 data G1 1 data H1 1 data I1 1 data J1 1 data K1 1 data L1 1 data M1 1 data N1 1 data O1 1 data P1 1 data Q 7 data Q1 6 data R1 1 data S 10 data S1 9 data T 3 data T1 1 data U1 1 data V 4 data V1 1 data W1 1 data X1 1 data Y1 1 data Z1 1 parameter A1 1 parameter A10 1 parameter A11 1 parameter A12 1 parameter A13 1 parameter A14 1 parameter A15 1 parameter A16 1 parameter A17 1 parameter A18 1 parameter A19 1 parameter A2 1 parameter A3 1 parameter A4 1 parameter A5 1 parameter A6 1 parameter A7 1 parameter A8 1 parameter B3 2 S Site Horizontal Plan Quantities Report Y SYSADMIN 39 AGGREGATION_LEVEL 19 BUCKET_DATE 37 BUCKET_LABEL 15 BUYER 9 CATEGORY 8 CATEGORY_SET 38 DASHBOARD_METRIC -31.0035 DAY_CHAR 35 DAY_CHART_LABEL 31 DAY_NUM 6 ITEM 7 ITEM_DESCRIPTION 10 ITEM_UOM 13 Make/Buy 5 OPERATING_UNIT 3 ORGANIZATION 4 ORGANIZATION_NAME -31.0033 PERIOD_CHAR 33 PERIOD_CHART_LABEL 29 PERIOD_NUM 24 PERIOD_QTY_LAST PERIOD_QUANTITY PERIOD_VALUE 27 PERIOD_VALUE_LAST 14 PLANNER 1 PLANNING_INSTANCE 2 PLAN_NAME PN_SEQ 20 QUANTITY 11 REPORT_UOM 21 STANDARD_COST 17 SUPPLY_DEMAND_CODE 36 SUPPLY_DEMAND_LABEL 18 SUPPLY_DEMAND_TYPE 12 UOM_CONVERSION 16 USING_ASSEMBLIES 22 VALUE -31.0034 WEEK_CHAR 34 WEEK_CHART_LABEL 30 WEEK_NUM 25 WEEK_QTY_LAST WEEK_QUANTITY WEEK_VALUE 28 WEEK_VALUE_LAST WN_SEQ -31.0032 YEAR_CHAR 32 YEAR_CHART_LABEL 23 YEAR_QTY_LAST YEAR_QUANTITY YEAR_VALUE 26 YEAR_VALUE_LAST YN_SEQ CATEGORY_NAME ROW 5 MSC Horizontal Plan - Horizontal Plan Quantities Report Template 20230703.xlsx US 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 xl/worksheets/sheet1.xml xl/worksheets/sheet3.xml 1 0 Report UOM 1 (All) 2 Planner 3 Buyer 4 Make/Buy 5 Sum of Quantity 6 Bucket 7 Plan Name 8 Operating Unit 9 Organization 10 Category 11 Item 12 Item Description 13 Item Uom 14 Supply Demand Label 15 2023/06/21 P:0 W:0 16 N/A 17 Ea 18 010 Sales orders 19 020 Forecast 20 030 Dependent demand 21 045 Payback Demand 22 050 Other independent demand 23 070 Gross requirements 24 081 Work orders 25 083 Purchase orders 26 085 Requisitions 27 087 In Transit 28 089 In Receiving 29 090 Planned orders 30 095 Payback Supply 31 100 Total supply 32 105 Beginning on hand 33 110 Projected available balance 34 120 Safety stock 35 140 Current scheduled receipts 36 150 Projected on hand Report Type Horizontal Plan data A1 1 data AA1 1 data AB1 1 data AC1 1 data AD1 1 data AE1 1 data AF1 1 data AG1 1 data AH1 1 data AI1 1 data AJ1 1 data AK1 1 data AL1 1 data AM1 5 data B1 1 data C1 1 data D1 1 data E1 1 data F1 1 data G1 1 data H1 1 data I1 1 data J1 1 data K1 1 data L1 1 data M1 1 data N1 1 data O1 1 data P1 1 data Q 7 data Q1 5 data R1 1 data S 8 data S1 6 data T1 1 data U1 1 data V 9 data V1 1 data W1 1 data X1 1 data Y1 1 data Z1 1 parameter A1 1 parameter A10 1 parameter A11 1 parameter A12 1 parameter A13 1 parameter A14 1 parameter A15 1 parameter A16 1 parameter A17 1 parameter A18 1 parameter A19 1 parameter A2 1 parameter A3 1 parameter A4 1 parameter A5 1 parameter A6 1 parameter A7 1 parameter A8 1 parameter B3 2 S Site Horizontal Plan Std Cost Values Report Y SYSADMIN 39 AGGREGATION_LEVEL 19 BUCKET_DATE 37 BUCKET_LABEL 15 BUYER 9 CATEGORY 8 CATEGORY_SET 38 DASHBOARD_METRIC -31.0035 DAY_CHAR 35 DAY_CHART_LABEL 31 DAY_NUM 6 ITEM 7 ITEM_DESCRIPTION 10 ITEM_UOM 13 Make/Buy 5 OPERATING_UNIT 3 ORGANIZATION 4 ORGANIZATION_NAME -31.0033 PERIOD_CHAR 33 PERIOD_CHART_LABEL 29 PERIOD_NUM 24 PERIOD_QTY_LAST PERIOD_QUANTITY PERIOD_VALUE 27 PERIOD_VALUE_LAST 14 PLANNER 1 PLANNING_INSTANCE 2 PLAN_NAME PN_SEQ 20 QUANTITY 11 REPORT_UOM 21 STANDARD_COST 17 SUPPLY_DEMAND_CODE 36 SUPPLY_DEMAND_LABEL 18 SUPPLY_DEMAND_TYPE 12 UOM_CONVERSION 16 USING_ASSEMBLIES 22 VALUE -31.0034 WEEK_CHAR 34 WEEK_CHART_LABEL 30 WEEK_NUM 25 WEEK_QTY_LAST WEEK_QUANTITY WEEK_VALUE 28 WEEK_VALUE_LAST WN_SEQ -31.0032 YEAR_CHAR 32 YEAR_CHART_LABEL 23 YEAR_QTY_LAST YEAR_QUANTITY YEAR_VALUE 26 YEAR_VALUE_LAST YN_SEQ CATEGORY_NAME ROW 5 MSC Horizontal Plan - Horizontal Plan Values Report Template 20230703.xlsx US 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 xl/worksheets/sheet1.xml xl/worksheets/sheet3.xml 1 0 Planner 1 (All) 2 Buyer 3 Make/Buy 4 Sum of Value 5 Bucket 6 Plan Name 7 Operating Unit 8 Organization 9 Category 10 Item 11 Item Description 12 Standard Cost 13 Supply Demand Label 14 2023/06/21 P:0 W:0 15 N/A 16 010 Sales orders 17 020 Forecast 18 030 Dependent demand 19 045 Payback Demand 20 050 Other independent demand 21 070 Gross requirements 22 081 Work orders 23 083 Purchase orders 24 085 Requisitions 25 087 In Transit 26 089 In Receiving 27 090 Planned orders 28 095 Payback Supply 29 100 Total supply 30 105 Beginning on hand 31 110 Projected available balance 32 120 Safety stock 33 140 Current scheduled receipts 34 150 Projected on hand Report Type Horizontal Plan data A1 1 data AA1 1 data AB1 1 data AC1 1 data AD1 1 data AE1 1 data AF1 1 data AG1 1 data AH1 1 data AI1 1 data AJ1 1 data AK1 1 data AL1 1 data AM1 6 data B1 1 data C1 1 data D1 1 data E1 1 data F1 1 data G1 1 data H1 1 data I1 1 data J1 1 data K1 1 data L1 1 data M1 1 data N1 1 data O1 1 data P1 1 data Q 8 data Q1 6 data R1 1 data S 9 data S1 7 data T1 1 data U1 1 data V 10 data V1 1 data W1 1 data X1 1 data Y1 1 data Z1 1 parameter A1 1 parameter A10 1 parameter A11 1 parameter A12 1 parameter A13 1 parameter A14 1 parameter A15 1 parameter A16 1 parameter A17 1 parameter A18 1 parameter A19 1 parameter A2 1 parameter A3 1 parameter A4 1 parameter A5 1 parameter A6 1 parameter A7 1 parameter A8 1 parameter B3 2 S Site Horizontal Plan Dashboard