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。 A8A20CEB0602162EE0530100007FDE80 MSC Make or Buy Y select flv.meaning value, null description from fnd_lookup_values@A2M_DBLINK flv where flv.lookup_type='MTL_PLANNING_MAKE_BUY' and flv.view_application_id = 700 and flv.security_group_id = 0 and flv.enabled_flag = 'Y' and sysdate between nvl(flv.start_date_active,sysdate) and nvl(flv.end_date_active,sysdate) and flv.language = nvl((select fl.language_code from fnd_languages@A2M_DBLINK fl where fl.installed_flag in ('B','I') and language_code = userenv('lang')),fnd_global.base_language@A2M_DBLINK) and flv.lookup_code in (1,2) order by value AR اصنع أو اشترِ LOV من Lookup MTL_PLANNING_MAKE_BUY D Make oder Buy LOV aus Lookup MTL_PLANNING_MAKE_BUY E Hacer o comprar LOV desde la búsqueda MTL_PLANNING_MAKE_BUY F Faire ou acheter LOV à partir de Lookup MTL_PLANNING_MAKE_BUY I Fare o comprare LOV dalla ricerca MTL_PLANNING_MAKE_BUY JA ルックアップMTL_PLANNING_MAKE_BUYからLOVを作るか買うか KO MTL_PLANNING_MAKE_BUY 룩업에서 LOV 생성 또는 구매 PTB Faça ou Compre AMOR na Lookup MTL_PLANNING_MAKE_BUY RU Make or Buy LOV из Lookup MTL_PLANNING_MAKE_BUY S Skapa eller köp LOV från Lookup MTL_PLANNING_MAKE_BUY TR Lookup MTL_PLANNING_MAKE_BUY ile Değer Oluşturun veya Satın Alın US Make or Buy LOV from Lookup MTL_PLANNING_MAKE_BUY ZHS 从查找MTL_PLANNING_MAKE_BUY中制作或购买LOV。 A8452450392C6F2FE0530100007F6DF4 MSC Plan Name Y select 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.sr_instance_id = mai.instance_id and mai.instance_code =:$flex$.planning_instance order by lower(mp.compile_designator) AR إرجاع قائمة بأسماء خطة ASCP D Gibt die Liste der ASCP-Plan-Namen zurück E Devuelve la lista de nombres de planes ASCP F Retourne la liste des noms de plans ASCP I Restituisce l'elenco dei nomi dei piani ASCP JA ASCPプラン名のリストを返します KO ASCP 계획 명 목록을 반환합니다. PTB Retorna a lista de nomes dos planos ASCP RU Возвращает список названий планов ASCP S Returnerar listan över ASCP-plannamn TR ASCP Plan Adlarının listesini verir US Returns the list of ASCP Plan Names ZHS 返回ASCP计划名称的列表 A84529F80CED6F4AE0530100007FD38E MSC Plan Organization Codes Y select mpo.organization_code value , null description from msc_trading_partners@A2M_DBLINK mtp, msc_plan_organizations@A2M_DBLINK mpo, msc_plans@A2M_DBLINK mp, msc_apps_instances@A2M_DBLINK 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 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) AR تُرجع قائمة رموز المنظمة ضمن خطة ASCP المحددة D Gibt die Liste der Organization Codes innerhalb des angegebenen ASCP-Plans zurück E Devuelve la lista de Códigos de Organización dentro del Plan ASCP especificado F Renvoie la liste des codes d'organisation dans le cadre du plan ASCP spécifié I Restituisce l'elenco dei codici di organizzazione all'interno del piano ASCP specificato JA 指定されたASCPプラン内の組織コードのリストを返します KO 지정된 ASCP 계획 내의 조직 코드 목록을 반환합니다. PTB Retorna a lista de Códigos de Organização dentro do Plano ASCP especificado RU Возвращает список организационных кодов в рамках указанного плана ППКП S Returnerar listan över organisationskoder inom den angivna ASCP-planen TR Belirtilen ASCP Planı dahilinde Organizasyon Kodlarının listesini verir US Returns the list of Organization Codes within the specified ASCP Plan ZHS 返回指定ASCP计划中的组织代码列表。 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 A8A22372CC511FBDE0530100007FEDAE MSC Supply/Demand Type Y select flv.meaning value, null description from fnd_lookup_values@A2M_DBLINK flv where flv.lookup_type IN ('MRP_ORDER_TYPE','SRP_CHANGED_ORDER_TYPE','MSC_DEMAND_ORIGINATION') and flv.security_group_id = 0 and flv.enabled_flag = 'Y' and sysdate between nvl(flv.start_date_active,sysdate) and nvl(flv.end_date_active,sysdate) and flv.language = nvl((select fl.language_code from fnd_languages@A2M_DBLINK fl where fl.installed_flag in ('B','I') and language_code = userenv('lang')),fnd_global.base_language@A2M_DBLINK) order by value AR تُرجع قائمة أنواع العرض والطلب الخاصة بـ ASCP D Liefert die Liste der ASCP-Angebots- und Nachfragetypen E Devuelve la lista de tipos de oferta y demanda de ASCP F Renvoie la liste des types d'offre et de demande de l'ASCP I Restituisce l'elenco dei tipi di domanda e offerta ASCP JA ASCP需給タイプのリストを返します KO ASCP 공급 및 수요 유형 목록을 반환합니다. PTB Retorna a lista de tipos de oferta e demanda ASCP RU Возвращает список ASCP Типы спроса и предложения S Returnerar listan över ASCP-utbuds- och efterfrågetyper TR ASCP Arz ve Talep Türlerinin listesini verir US Returns the list of ASCP Supply and Demand Types ZHS 返回ASCP供需类型列表。 8E2FF36EDEA679D2E0530100007F1FF2 Yes Y select 'Y' id, xxen_util.meaning('Y','YES_NO',0) value, null description from dual US E0249A65F8A8438FE05362FB09052547 select mov.instance, mov.plan, mov.organization, mov.subinventory, mov.demand_class, mov.project_number, mov.task_number, &lp_custom_attributes mov.planner, mov.buyer_name, mov.make_buy, mov.item, mov.item_description, mov.category_set, mov.category, regexp_substr(mov.category,'[^.]+',1,1) category1, regexp_substr(mov.category,'[^.]+',1,2) category2, mov.safety_stock, -- mov.suggested_due_date, mov.supply_demand, mov.order_type, mov.order_number, -- mov.new_date, mov.new_quantity, -- mov.suggested_order_date, mov.suggested_start_date, mov.days_from_today, mov.need_by_date, mov.promise_date, mov.old_due_date, mov.old_need_by_date, -- mov.qty, mov.released_qty, -- mov.implement_date, mov.implement_quantity_rate, mov.implement_as, mov.implement_location, -- mov.firm, mov.firm_date, mov.firm_quantity, -- mov.source_organization, mov.source_vendor_name, mov.source_vendor_site_code, mov.supplier, mov.supplier_site, -- mov.action_required, mov.for_release, mov.released_status, mov.schedule_compression_days, mov.reschedule_days, -- mov.order_priority, mov.using_assembly, mov.alternate_bom_designator, mov.alternate_routing_designator, mov.line_code, mov.schedule_group, mov.build_sequence, mov.planning_group, -- mov.intransit_lt, mov.planning_time_fence_date, mov.release_time_fence_days, mov.fixed_lt, mov.variable_lt, mov.pre_processing_lt, mov.post_processing_lt, mov.full_lt, mov.abc_class, -- item dff attributes &lp_item_dff_cols -- -- pegged to order -- nvl(mfpd.allocated_quantity,mfps.allocated_quantity) peg_allocated_quantity, case when mfpd.pegging_id is not null then xxen_util.meaning('DEMAND','MSC_QUESTION_TYPE',3) when mfps.pegging_id is not null then xxen_util.meaning('SUPPLY','MSC_QUESTION_TYPE',3) else null end peg_supply_demand, -- case when mfpd.pegging_id is not null then case when mfpd.demand_id < 0 then msc_get_name.lookup_meaning&a2m_dblink ('MRP_FLP_SUPPLY_DEMAND_TYPE',mfpd.demand_id) else msc_get_name.lookup_meaning&a2m_dblink ('MSC_DEMAND_ORIGINATION',decode(md.origination_type, 70, 50, 92, 50, md.origination_type)) end when mfps.pegging_id is not null then case when mov.plan_type = 8 then case when ms.order_type = 1 then msc_get_name.lookup_meaning&a2m_dblink ('SRP_CHANGED_ORDER_TYPE', ms.order_type) when ms.order_type = 2 and ms.source_organization_id is null then msc_get_name.lookup_meaning&a2m_dblink ('SRP_CHANGED_ORDER_TYPE', ms.order_type) when ms.order_type = 2 and ms.source_organization_id is not null then msc_get_name.lookup_meaning&a2m_dblink ('MRP_ORDER_TYPE',53) when ms.order_type = 53 then msc_get_name.lookup_meaning&a2m_dblink ('SRP_CHANGED_ORDER_TYPE', ms.order_type) else msc_get_name.lookup_meaning&a2m_dblink ('MRP_ORDER_TYPE',case ms.order_type when 92 then 70 else ms.order_type end) end else msc_get_name.lookup_meaning&a2m_dblink ('MRP_ORDER_TYPE',case ms.order_type when 92 then 70 else ms.order_type end) end else null end peg_order_type, case when mfpd.pegging_id is not null then nvl(md.order_number ,decode(md.origination_type , 1 , to_char(md.disposition_id) , 3 , msc_get_name.job_name&a2m_dblink (md.disposition_id, md.plan_id, md.sr_instance_id) , 22, to_char(md.disposition_id) , 50, msc_get_name.maintenance_plan&a2m_dblink (md.schedule_designator_id) , 70, msc_get_name.maintenance_plan&a2m_dblink (md.schedule_designator_id) , 92, msc_get_name.maintenance_plan&a2m_dblink (md.schedule_designator_id ) , 29, decode(md.plan_id ,-11, msc_get_name.designator&a2m_dblink (md.schedule_designator_id) , decode(mov.in_source_plan ,1,msc_get_name.designator&a2m_dblink (md.schedule_designator_id, md.forecast_set_id ) , msc_get_name.scenario_designator&a2m_dblink (md.forecast_set_id, md.plan_id, md.organization_id, md.sr_instance_id) || decode(msc_get_name.designator&a2m_dblink (md.schedule_designator_id,md.forecast_set_id ) , null, null , '/'||msc_get_name.designator&a2m_dblink (md.schedule_designator_id,md.forecast_set_id ) ) ) ) , 78, to_char(md.disposition_id) , msc_get_name.designator&a2m_dblink (md.schedule_designator_id) ) ) when mfps.pegging_id is not null then msc_get_name.supply_order_number&a2m_dblink (ms.order_type ,ms.order_number ,ms.plan_id ,ms.sr_instance_id ,ms.transaction_id ,ms.disposition_id ) else null end peg_order_number, nvl(-nvl(md.daily_demand_rate,md.using_requirement_quantity) ,nvl(ms.daily_rate,ms.new_order_quantity) ) peg_order_qty, ms.implemented_quantity peg_released_qty, trunc(nvl(md.using_assembly_demand_date,ms.new_schedule_date)) peg_suggested_due_date, trunc(nvl(ms.new_order_placement_date,ms.firm_date)) peg_suggested_order_date, trunc(ms.new_wip_start_date) peg_suggested_start_date, case when mfpd.pegging_id is not null then round(greatest(0,md.using_assembly_demand_date - (trunc(sysdate))),2) else round(greatest(0,ms.new_order_placement_date - (trunc(sysdate))),2) end peg_days_from_today, trunc(ms.need_by_date) peg_need_by_date, trunc(nvl(md.promise_date,ms.promised_date)) peg_promise_date, trunc(nvl(md.old_demand_date,ms.old_schedule_date)) peg_old_due_date, trunc(decode(ms.order_type,1,ms.old_dock_date,ms.old_need_by_date)) peg_old_need_by_date, case when mfpd.pegging_id is not null then decode(md.supply_id , null, decode(md.origination_type ,6 , decode(msc_get_name.order_type&a2m_dblink (md.plan_id, md.disposition_id, md.sr_instance_id) ,2, null , msc_get_name.org_code&a2m_dblink (md.source_organization_id,md.source_org_instance_id) ) ,30, decode(msc_get_name.order_type&a2m_dblink (md.plan_id, md.disposition_id, md.sr_instance_id), 2, null, msc_get_name.org_code&a2m_dblink (md.source_organization_id,md.source_org_instance_id)) ,1 , decode(mov.plan_type, 5, null, msc_get_name.org_code&a2m_dblink (md.source_organization_id, md.source_org_instance_id)) , msc_get_name.org_code&a2m_dblink (md.source_organization_id, md.source_org_instance_id) ) , null ) when mfps.pegging_id is not null then msc_get_name.org_code&a2m_dblink (ms.source_organization_id,ms.source_sr_instance_id) else null end peg_source_organization, msc_get_name.supplier&a2m_dblink (ms.supplier_id) peg_supplier, msc_get_name.supplier_site&a2m_dblink (ms.supplier_site_id) peg_supplier_site, case when mfpd.pegging_id is not null then msc_get_name.action&a2m_dblink ( 'MSC_DEMANDS' , mov.plan_type , decode(md.plan_id,-1,md.supply_id,md.disposition_id) , decode(md.source_org_instance_id,null,md.sr_instance_id,-23453,md.sr_instance_id,md.source_org_instance_id) , md.origination_type , md.reschedule_flag , md.demand_id , null , null , md.sales_order_line_split , md.fill_kill_flag , null , md.inventory_item_id , md.prev_subst_item , null , md.plan_id ) when mfps.pegging_id is not null then msc_get_name.action&a2m_dblink ( 'MSC_SUPPLIES' , mov.bom_item_type , mov.base_item_id , mov.wip_supply_type , ms.order_type , ms.reschedule_flag , ms.disposition_status_type , ms.new_schedule_date , ms.old_schedule_date , ms.implemented_quantity , ms.quantity_in_process , ms.new_order_quantity , mov.release_time_fence_code , ms.reschedule_days , ms.firm_quantity , ms.plan_id , mov.critical_component_flag , mov.mrp_planning_code , mov.lots_exist , ms.item_type_value , ms.transaction_id ) else null end peg_order_action, decode(nvl(md.release_status,ms.release_status) , 2, null , 1, xxen_util.meaning('Y','YES_NO',0) , nvl(md.release_status,ms.release_status) ) peg_order_for_release, decode(nvl(ms.implemented_quantity,-999),-999,null,'Released') peg_order_released_status, -- mov.transaction_id, mov.demand_id, nvl(mfpd.pegging_id,mfps.pegging_id) pegging_id, nvl(mfpd.end_pegging_id,mfps.end_pegging_id) end_pegging_id, mfpd.demand_id peg_demand_id, mfps.transaction_id peg_transaction_id, mov.supply_qty, mov.demand_qty, mov.abs_qty, mov.supply_cnt, mov.demand_cnt from (select /*+ push_pred(mov)*/ nvl(:p_instance_code,mai.instance_code) instance, nvl(:p_plan_name,mov.compile_designator) plan, mov.organization_code organization, mov.subinventory_code subinventory, mov.demand_class demand_class, mov.planner_code planner, mpl.employee_id planner_emp_id, mov.buyer_name buyer_name, mov.project_number project_number, mov.task_number task_number, -- msc_get_name.lookup_meaning&a2m_dblink ('MTL_PLANNING_MAKE_BUY',mov.planning_make_buy_code) make_buy, mov.item_segments item, mov.description item_description, :p_category_set_name category_set, mov.category_name category, (select distinct max(mss.safety_stock_quantity) keep (dense_rank last order by mss.period_start_date) over (partition by mss.organization_id,mss.inventory_item_id) safety_stock from msc_safety_stocks&a2m_dblink mss where mss.sr_instance_id = mov.sr_instance_id and mss.plan_id = mov.plan_id and mss.organization_id = mov.organization_id and mss.inventory_item_id = mov.inventory_item_id and mss.period_start_date <= sysdate ) safety_stock, -- trunc(mov.new_due_date) suggested_due_date, xxen_util.meaning(decode(mov.source_table,'MSC_SUPPLIES','SUPPLY','DEMAND'),'MSC_QUESTION_TYPE',3) supply_demand, mov.order_type_text order_type, mov.order_type order_type_num, mov.order_number order_number, -- case when mov.firm_date is not null then trunc(mov.firm_date) else case when mov.firm_planned_type = 1 and ( (mov.source_table = 'MSC_SUPPLIES' and mov.order_type in (1,3,5,51,53,76,77,78,79,81)) or (mov.source_table = 'MSC_SUPPLIES' and mov.order_type = 2 and mov.source_organization_id != mov.organization_id) or (mov.source_table = 'MSC_DEMANDS' and mov.order_type in (29,30,53,54)) ) then case when (mov.source_table = 'MSC_DEMANDS' and mov.order_type in (53,54)) then nvl(mov.ship_date,mov.new_due_date) else trunc(greatest(sysdate,mov.new_due_date)) end else to_date(null) end end new_date, case when mov.firm_quantity is not null then mov.firm_quantity else case when mov.firm_planned_type = 1 and ( (mov.source_table = 'MSC_SUPPLIES' and mov.order_type in (1,3,5,51,53,76,77,78,79,81)) or (mov.source_table = 'MSC_SUPPLIES' and mov.order_type = 2 and mov.source_organization_id != mov.organization_id) or (mov.source_table = 'MSC_DEMANDS' and mov.order_type in (29,30,53,54)) ) then abs(mov.quantity_rate) else to_number(null) end end new_quantity, -- trunc(mov.new_order_date) suggested_order_date, trunc(mov.new_start_date) suggested_start_date, mov.days_from_today days_from_today, trunc(mov.need_by_date) need_by_date, trunc(mov.promise_date) promise_date, trunc(mov.old_due_date) old_due_date, trunc(mov.old_need_by_date) old_need_by_date, -- mov.quantity_rate qty, mov.implemented_quantity released_qty, -- mov.implement_date, mov.implement_quantity_rate, mov.implement_as_text implement_as, coalesce( (select mtps.location from msc_trading_partner_sites&a2m_dblink mtps, msc_trading_partners&a2m_dblink mtp where mtp.partner_id = mtps.partner_id and mtp.sr_tp_id = case when mov.source_table = 'MSC_DEMANDS' and mov.order_type= 53 then mov.dest_org_id else mov.organization_id end and mtp.sr_instance_id = mov.sr_instance_id and mtps.sr_tp_site_id = mov.implement_location_id and mtp.partner_type = 3 and rownum=1 ), (select mla.location_code from msc_location_associations&a2m_dblink mla, msc_trading_partners&a2m_dblink mtp where mtp.sr_instance_id = mla.sr_instance_id and mtp.partner_id = mla.partner_id and mtp.sr_tp_id = mla.organization_id and mtp.sr_tp_id = case when mov.source_table = 'MSC_DEMANDS' and mov.order_type= 53 then mov.dest_org_id else mov.organization_id end and mtp.sr_instance_id = mov.sr_instance_id and mla.location_id = mov.implement_location_id and mtp.partner_type = 3 and rownum=1 ) ) implement_location, -- decode(mov.firm_planned_type , 2, null , 1, 'Yes' ,mov.firm_planned_type) firm, trunc(mov.firm_date) firm_date, mov.firm_quantity firm_quantity, -- mov.source_organization_code source_organization, mov.source_vendor_name source_vendor_name, mov.source_vendor_site_code source_vendor_site_code, mov.supplier_name supplier, mov.supplier_site_code supplier_site, -- mov.action action_required, decode(mov.release_status , 2, null, 1, xxen_util.meaning('Y','YES_NO',0), mov.release_status) for_release, decode(nvl(mov.implemented_quantity, -999) , -999, null, 'Released') released_status, mov.schedule_compression_days schedule_compression_days, mov.reschedule_days reschedule_days, -- mov.demand_priority order_priority, mov.using_assembly_segments using_assembly, mov.alternate_bom_designator alternate_bom_designator, mov.alternate_routing_designator alternate_routing_designator, mov.line_code line_code, mov.schedule_group_name schedule_group, mov.build_sequence build_sequence, mov.planning_group planning_group, -- mov.intransit_lead_time intransit_lt, trunc(msi.planning_time_fence_date) planning_time_fence_date, msi.release_time_fence_days release_time_fence_days, msi.fixed_lead_time fixed_lt, msi.variable_lead_time variable_lt, msi.preprocessing_lead_time pre_processing_lt, msi.postprocessing_lead_time post_processing_lt, msi.full_lead_time full_lt, mov.abc_class abc_class, decode(mov.source_table,'MSC_SUPPLIES','S','D') s_d_flag, decode(mov.source_table,'MSC_SUPPLIES',mov.transaction_id,null) transaction_id, decode(mov.source_table,'MSC_DEMANDS',mov.transaction_id,null) demand_id, mov.sr_instance_id, mov.plan_id, mov.organization_id, msi.inventory_item_id, msi.sr_inventory_item_id, mp.plan_type, msi.in_source_plan, msi.bom_item_type, msi.base_item_id, msi.wip_supply_type, msi.release_time_fence_code, msi.critical_component_flag, msi.mrp_planning_code, msi.lots_exist, -- case when mov.source_table = 'MSC_SUPPLIES' then mov.quantity_rate else null end supply_qty, case when mov.source_table = 'MSC_DEMANDS' then -mov.quantity_rate else null end demand_qty, abs(mov.quantity_rate) abs_qty, case when mov.source_table = 'MSC_SUPPLIES' then 1 else null end supply_cnt, case when mov.source_table = 'MSC_DEMANDS' then 1 else null end demand_cnt from msc_orders_v&a2m_dblink mov, msc_apps_instances&a2m_dblink mai, msc_plans&a2m_dblink mp, msc_system_items&a2m_dblink msi, msc_planners&a2m_dblink mpl where mov.sr_instance_id = mai.instance_id and mov.plan_id = mp.plan_id and mov.category_set_id = nvl(:p_category_set_id,(select mcs.category_set_id from msc_category_sets&a2m_dblink mcs where mcs.default_flag = 1 and rownum=1)) and mov.sr_instance_id = msi.sr_instance_id and mov.plan_id = msi.plan_id and mov.organization_id = msi.organization_id and mov.inventory_item_id = msi.inventory_item_id and mov.organization_id = mpl.organization_id (+) and mov.planner_code = mpl.planner_code (+) and ( (mov.order_type NOT IN ( 18, 6, 7, 30, 31)) or (mov.order_type IN (18, 6, 7, 30) and mov.quantity_rate <> 0) or (mov.order_type = 30 and (mov.fill_kill_flag = 1 or mov.so_line_split =1)) or (mov.order_type = 31 and mov.quantity <> 0) ) and mov.order_type <> 60 and 1=1 ) mov, msc_full_pegging&a2m_dblink mfpd, msc_demands&a2m_dblink md, msc_full_pegging&a2m_dblink mfps, msc_supplies&a2m_dblink ms where -- demand pegged to supply mfpd.sr_instance_id (+) = nvl2(:p_show_pegging,mov.sr_instance_id,null) and mfpd.plan_id (+) = nvl2(:p_show_pegging,mov.plan_id,null) and mfpd.transaction_id (+) = nvl2(:p_show_pegging,mov.transaction_id,null) and md.sr_instance_id (+) = mfpd.sr_instance_id and md.plan_id (+) = mfpd.plan_id and md.demand_id (+) = mfpd.demand_id -- supply pegged to demand and mfps.sr_instance_id (+) = nvl2(:p_show_pegging,mov.sr_instance_id,null) and mfps.plan_id (+) = nvl2(:p_show_pegging,mov.plan_id,null) and mfps.demand_id (+) = nvl2(:p_show_pegging,mov.demand_id,null) and ms.sr_instance_id (+) = mfps.sr_instance_id and ms.plan_id (+) = mfps.plan_id and ms.transaction_id (+) = mfps.transaction_id -- order by instance, plan, organization, planner, item, suggested_due_date, supply_demand, order_type, order_number Y XXEN_MSC AR MSC Plan Orders ASCP: تصدير طلبات العرض والطلب من طاولة عمل المخططين. D MSC Plan Orders ASCP: Exportieren von Angebots- und Bedarfsaufträgen aus der Planners Workbench. E MSC Plan Orders ASCP: Exportación de órdenes de oferta y demanda desde el banco de trabajo de los planificadores. F MSC Plan Orders ASCP : Export Supply and Demand Orders from the Planners Workbench. I MSC Plan Orders ASCP: Esportazione di ordini di domanda e offerta dal Planners Workbench. JA MSC Plan Orders ASCP: プランナーズワークベンチから需給オーダーをエクスポートします。 KO MSC Plan Orders ASCP : 계획자 워크 벤치에서 공급 및 수요 주문을 내 보냅니다. PTB MSC Plan Orders ASCP: Ordens de Fornecimento e Demanda de Exportação do Planners Workbench. RU MSC Plan Orders ASCP: Экспорт заказов на поставку и спрос из рабочего стола планировщиков. S MSC Plan Orders ASCP: Exportera leverans- och beställningsorder från Planners Workbench. TR MSC Plan Orders ASCP: Planners Workbench'ten Arz ve Talep Siparişlerini Dışa Aktarın. US MSC Plan Orders ASCP: Export Supply and Demand Orders from the Planners Workbench. ZHS MSC Plan Orders ASCP：从计划员工作台导出供需订单。 Enginatics R12 only &a2m_dblink &lp_custom_attributes &lp_item_dff_cols 1=1 :p_category_set_id :p_category_set_name :p_instance_code :p_plan_name :p_show_pegging 1 -40 1=1 mov.sr_instance_id=:p_instance_id Number select x.instance_id from ( select instance_id,instance_code from msc_apps_instances union select instance_id,instance_code from mrp_ap_apps_instances_all ) x where x.instance_code = :$flex$.planning_instance order by instance_code US Instance Id 2 -30 1=1 mov.plan_id=:p_plan_id Number select mp.plan_id from msc_plans@A2M_DBLINK mp, msc_apps_instances@A2M_DBLINK mai where mp.sr_instance_id = mai.instance_id and mai.instance_code =:$flex$.planning_instance and mp.compile_designator = :$flex$.plan US Plan Id 3 -20 :p_category_set_id Number select category_set_id from msc_category_sets@A2M_DBLINK where category_set_name = :$flex$.Category_Set US Category Set Id 4 -10 1=1 (mov.sr_instance_id,mov.plan_id,mov.organization_id,mov.inventory_item_id) in ( select number1 instance_id, number2 plan_id, number3 organization_id, number4 inventory_item_id from msc_form_query&a2m_dblink mfq ) Char US instance_id|plan_id|organization_id|inventory_item_id 5 10 :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 6 &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 7 &lp_custom_attributes select replace(replace(replace(replace(replace(flvv.description, '<INSTID>', 'mov.sr_instance_id'), '<PLANID>', 'mov.plan_id'), '<SD>' , 'mov.s_d_flag'), '<WHSID>' , 'mov.organization_id'), '<TRXID>' , 'nvl(mov.transaction_id,mov.demand_id)' ) || ' ' || '"' || substrb(rtrim(ltrim(rtrim(ltrim(translate(flvv.meaning,'A.+-/\=?#,;:''"','A_____________'))),'_'),'_'),1,xxen_report.max_column_length) || '"' || ',' from fnd_lookup_values_vl flvv where flvv.lookup_type = 'XXEN_MSC_CUSTOM_ATTRIBUTES' and flvv.view_application_id = 0 and flvv.enabled_flag = 'Y' and trunc(sysdate) between nvl(flvv.start_date_active,trunc(sysdate)) and nvl(flvv.end_date_active,trunc(sysdate)) order by flvv.meaning US Planning Instance 8 &m2a_dblink select mai.m2a_dblink from ( select nvl2(mai.m2a_dblink,'@'||mai.m2a_dblink,null) m2a_dblink from msc_apps_instances mai where mai.instance_code = :p_instance_code ) mai US Planning Instance 9 20 :p_plan_name LOV MSC Plan Name A8452450392C6F2FE0530100007F6DF4 Y select 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.sr_instance_id = mai.instance_id and mai.instance_code =:$flex$.planning_instance order by lower(mp.compile_designator) Y US Plan 10 30 1=1 mov.organization_id in (select mpo.organization_id from msc_plan_organizations&a2m_dblink mpo where mpo.organization_code=:p_organization_code and mpo.sr_instance_id = :p_instance_id and mpo.plan_id = :p_plan_id) LOV MSC Plan Organization Codes A84529F80CED6F4AE0530100007FD38E Y select mpo.organization_code value , null description from msc_trading_partners@A2M_DBLINK mtp, msc_plan_organizations@A2M_DBLINK mpo, msc_plans@A2M_DBLINK mp, msc_apps_instances@A2M_DBLINK 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 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 40 1=1 mov.source_organization_id in (select mpo.organization_id from msc_plan_organizations&a2m_dblink mpo where mpo.organization_code=:p_source_organization_code and mpo.sr_instance_id = :p_instance_id and mpo.plan_id = :p_plan_id) LOV MSC Plan Organization Codes A84529F80CED6F4AE0530100007FD38E Y select mpo.organization_code value , null description from msc_trading_partners@A2M_DBLINK mtp, msc_plan_organizations@A2M_DBLINK mpo, msc_plans@A2M_DBLINK mp, msc_apps_instances@A2M_DBLINK 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 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 Source Organiziation 12 50 1=1 :p_category_set_name=:p_category_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 13 60 1=1 mov.category_name = :p_category 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 14 70 1=1 mov.item_segments||''=:p_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 15 80 1=1 mov.source_table=decode(xxen_util.lookup_code(:p_supply_demand,'MSC_QUESTION_TYPE',3),'SUPPLY','MSC_SUPPLIES','DEMAND','MSC_DEMANDS',null) LOV custom Y select distinct meaning value, null description from fnd_lookup_values_vl flvv where flvv.lookup_type = 'MSC_QUESTION_TYPE' and flvv.view_application_id = 3 and flvv.lookup_code in ('SUPPLY','DEMAND') order by value US Supply/Demand 16 90 1=1 mov.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 17 100 1=1 mov.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 18 110 1=1 msc_get_name.lookup_meaning&a2m_dblink ('MTL_PLANNING_MAKE_BUY',mov.planning_make_buy_code) = :p_makeorbuy LOV MSC Make or Buy A8A20CEB0602162EE0530100007FDE80 Y select flv.meaning value, null description from fnd_lookup_values@A2M_DBLINK flv where flv.lookup_type='MTL_PLANNING_MAKE_BUY' and flv.view_application_id = 700 and flv.security_group_id = 0 and flv.enabled_flag = 'Y' and sysdate between nvl(flv.start_date_active,sysdate) and nvl(flv.end_date_active,sysdate) and flv.language = nvl((select fl.language_code from fnd_languages@A2M_DBLINK fl where fl.installed_flag in ('B','I') and language_code = userenv('lang')),fnd_global.base_language@A2M_DBLINK) and flv.lookup_code in (1,2) order by value US Make/Buy 19 120 1=1 mov.order_type_text =:order_type LOV MSC Supply/Demand Type A8A22372CC511FBDE0530100007FEDAE Y select flv.meaning value, null description from fnd_lookup_values@A2M_DBLINK flv where flv.lookup_type IN ('MRP_ORDER_TYPE','SRP_CHANGED_ORDER_TYPE','MSC_DEMAND_ORIGINATION') and flv.security_group_id = 0 and flv.enabled_flag = 'Y' and sysdate between nvl(flv.start_date_active,sysdate) and nvl(flv.end_date_active,sysdate) and flv.language = nvl((select fl.language_code from fnd_languages@A2M_DBLINK fl where fl.installed_flag in ('B','I') and language_code = userenv('lang')),fnd_global.base_language@A2M_DBLINK) order by value US Order Type 20 130 1=1 mov.order_type!=18 LOV Yes 8E2FF36EDEA679D2E0530100007F1FF2 Y select 'Y' id, xxen_util.meaning('Y','YES_NO',0) value, null description from dual US Exclude Onhand Supply 21 140 1=1 mov.new_due_date >= :p_sugg_due_date_fr Date US Suggested Due Date From 22 150 1=1 mov.new_due_date<:p_sugg_due_date_to+1 Date last_day(:$flex$.suggested_due_date_from) US Suggested Due Date To 23 160 1=1 mov.new_start_date >= :p_sugg_start_date_fr Date US Suggested Start Date From 24 170 1=1 mov.new_start_date<:p_sugg_start_date_to+1 Date last_day(:$flex$.suggested_start_date_from) US Suggested Start Date To 25 180 :p_show_pegging LOV Yes 8E2FF36EDEA679D2E0530100007F1FF2 Y select 'Y' id, xxen_util.meaning('Y','YES_NO',0) value, null description from dual US Show Pegging 26 190 &lp_item_dff_cols select xxen_msc.get_item_dff_lexicals(mai.instance_id,'mov.sr_inventory_item_id','mov.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 Y US Show Item Descriptive Attributes :$flex$.Category_Set Category Set Category Set Id :$flex$.category_set Category Set Category :$flex$.organization Organization Buyer :$flex$.organization Organization Planner :$flex$.plan Plan Buyer :$flex$.plan Plan Item :$flex$.plan Plan Organization :$flex$.plan Plan Plan Id :$flex$.plan Plan Planner :$flex$.plan Plan Source Organiziation :$flex$.planning_instance Planning Instance Buyer :$flex$.planning_instance Planning Instance Category :$flex$.planning_instance Planning Instance Category Set :$flex$.planning_instance Planning Instance Instance Id :$flex$.planning_instance Planning Instance Item :$flex$.planning_instance Planning Instance Organization :$flex$.planning_instance Planning Instance Plan :$flex$.planning_instance Planning Instance Plan Id :$flex$.planning_instance Planning Instance Planner :$flex$.planning_instance Planning Instance Source Organiziation :$flex$.suggested_due_date_from Suggested Due Date From Y Suggested Due Date To :$flex$.suggested_start_date_from Suggested Start Date From Y Suggested Start Date To Dashboard Y Y SYSADMIN 62 ABC_CLASS 91 ABS_QTY 42 ACTION_REQUIRED 49 ALTERNATE_BOM_DESIGNATOR 50 ALTERNATE_ROUTING_DESIGNATOR 53 BUILD_SEQUENCE 8 BUYER_NAME -6.0007 CAR No 13 CATEGORY 14 CATEGORY1 15 CATEGORY2 12 CATEGORY_SET -62.0069 Charge_Description_Master 25 DAYS_FROM_TODAY 93 DEMAND_CNT 84 DEMAND_ID 90 DEMAND_QTY 86 END_PEGGING_ID 36 FIRM 37 FIRM_DATE 38 FIRM_QUANTITY 57 FIXED_LT 43 FOR_RELEASE 61 FULL_LT -6.0008 GL Account -62.0065 Graphical_Link_for_Web_Reqs 34 IMPLEMENT_AS 32 IMPLEMENT_DATE 35 IMPLEMENT_LOCATION 33 IMPLEMENT_QUANTITY_RATE 1 INSTANCE 55 INTRANSIT_LT 10 ITEM 11 ITEM_DESCRIPTION -62.0064 Invoice_UOM -62.0067 Item_Model -6.0009 Justification 51 LINE_CODE -62.0063 Late_Demands_Penalty 9 MAKE_BUY -62.0066 Material_Over_Capacity_Penalty 26 NEED_BY_DATE 21 NEW_DATE 22 NEW_QUANTITY 28 OLD_DUE_DATE 29 OLD_NEED_BY_DATE 20 ORDER_NUMBER 47 ORDER_PRIORITY 19 ORDER_TYPE 3 ORGANIZATION 85 PEGGING_ID 63 PEG_ALLOCATED_QUANTITY 72 PEG_DAYS_FROM_TODAY 87 PEG_DEMAND_ID 73 PEG_NEED_BY_DATE 75 PEG_OLD_DUE_DATE 76 PEG_OLD_NEED_BY_DATE 80 PEG_ORDER_ACTION 81 PEG_ORDER_FOR_RELEASE 66 PEG_ORDER_NUMBER 67 PEG_ORDER_QTY 82 PEG_ORDER_RELEASED_STATUS 65 PEG_ORDER_TYPE 74 PEG_PROMISE_DATE 68 PEG_RELEASED_QTY 77 PEG_SOURCE_ORGANIZATION 69 PEG_SUGGESTED_DUE_DATE 70 PEG_SUGGESTED_ORDER_DATE 71 PEG_SUGGESTED_START_DATE 78 PEG_SUPPLIER 79 PEG_SUPPLIER_SITE 64 PEG_SUPPLY_DEMAND 88 PEG_TRANSACTION_ID 2 PLAN 7 PLANNER 54 PLANNING_GROUP 56 PLANNING_TIME_FENCE_DATE 60 POST_PROCESSING_LT 59 PRE_PROCESSING_LT 5 PROJECT_NUMBER 27 PROMISE_DATE 30 QTY 31 RELEASED_QTY 44 RELEASED_STATUS 46 RESCHEDULE_DAYS -6.001 Requestor 16 SAFETY_STOCK 45 SCHEDULE_COMPRESSION_DAYS 52 SCHEDULE_GROUP 39 SOURCE_ORGANIZATION 4 SUBINVENTORY 17 SUGGESTED_DUE_DATE 23 SUGGESTED_ORDER_DATE 24 SUGGESTED_START_DATE 40 SUPPLIER 41 SUPPLIER_SITE 92 SUPPLY_CNT 18 SUPPLY_DEMAND 89 SUPPLY_QTY 6 TASK_NUMBER 83 TRANSACTION_ID -62.0068 Tax_Denomination 48 USING_ASSEMBLY 58 VARIABLE_LT ACTION_REQUIRED ROW 22 CATEGORY ROW 6 DAYS_FROM_TODAY ROW 14 ITEM ROW 3 ITEM_DESCRIPTION ROW 4 MAKE_BUY ROW 5 NEED_BY_DATE ROW 15 ORDER_NUMBER ROW 11 ORDER_TYPE ROW 10 ORGANIZATION ROW 1 PLAN FILTER 1 PLANNER ROW 2 PROMISE_DATE ROW 16 QTY VALUE 1 SUM QTY ROW 17 RELEASED_QTY ROW 18 SAFETY_STOCK ROW 7 SOURCE_ORGANIZATION ROW 19 SUGGESTED_DUE_DATE ROW 8 SUGGESTED_ORDER_DATE ROW 12 SUGGESTED_START_DATE ROW 13 SUPPLIER ROW 20 SUPPLIER_SITE ROW 21 SUPPLY_DEMAND ROW 9 USING_ASSEMBLY ROW 23 MSC Plan Orders - Enginatics Dashboard.xlsm US 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