<ROOT>
 <APPS_INITIALIZE_DATA>
  <USER_NAME>ENGINATICS</USER_NAME>
  <RESPONSIBILITY_KEY>SYSTEM_ADMINISTRATOR</RESPONSIBILITY_KEY>
  <APPLICATION_SHORT_NAME>SYSADMIN</APPLICATION_SHORT_NAME>
 </APPS_INITIALIZE_DATA>
<LOVS>
<!-- loader xml for Enginatics Blitz Report lov: MSC Buyer Name -->
 <LOVS_ROW>
  <GUID>A8576D437D9C52DEE0530100007F5406</GUID>
  <LOV_NAME>MSC Buyer Name</LOV_NAME>
  <VALIDATE_FROM_LIST>Y</VALIDATE_FROM_LIST>
  <LOV_QUERY>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) = &apos;Y&apos;
) 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)</LOV_QUERY>
  <LOV_TRANSLATIONS>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>AR</LANGUAGE>
    <DESCRIPTION>إرجاع قائمة بأسماء المشتري ASCP
</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>D</LANGUAGE>
    <DESCRIPTION>Gibt die Liste der ASCP-Käufernamen zurück
</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>E</LANGUAGE>
    <DESCRIPTION>Devuelve la lista de nombres de compradores de ASCP
</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>F</LANGUAGE>
    <DESCRIPTION>Renvoie la liste des noms d&apos;acheteurs de l&apos;ASCP
</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>I</LANGUAGE>
    <DESCRIPTION>Restituisce l&apos;elenco dei nomi degli acquirenti ASCP
</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>JA</LANGUAGE>
    <DESCRIPTION>ASCPバイヤー名のリストを返します
</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>KO</LANGUAGE>
    <DESCRIPTION>ASCP 구매자 이름 목록을 반환합니다.
</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>PTB</LANGUAGE>
    <DESCRIPTION>Retorna a lista de Nomes de Compradores ASCP
</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>RU</LANGUAGE>
    <DESCRIPTION>Возвращает список ASCP имен покупателей
</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>S</LANGUAGE>
    <DESCRIPTION>Returnerar listan över ASCP-köparnamn
</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>TR</LANGUAGE>
    <DESCRIPTION>ASCP Alıcı Adlarının listesini verir
</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>US</LANGUAGE>
    <DESCRIPTION>Returns the list of ASCP Buyer Names
</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>ZHS</LANGUAGE>
    <DESCRIPTION>返回ASCP买方名称列表
</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
  </LOV_TRANSLATIONS>
 </LOVS_ROW>
<!-- loader xml for Enginatics Blitz Report lov: MSC Category Set -->
 <LOVS_ROW>
  <GUID>A85770BE6AD052E2E0530100007F2871</GUID>
  <LOV_NAME>MSC Category Set</LOV_NAME>
  <VALIDATE_FROM_LIST>Y</VALIDATE_FROM_LIST>
  <LOV_QUERY>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)</LOV_QUERY>
  <LOV_TRANSLATIONS>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>AR</LANGUAGE>
    <DESCRIPTION>تُرجع قائمة مجموعات فئات ASCP</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>D</LANGUAGE>
    <DESCRIPTION>Liefert die Liste der ASCP-Kategoriesätze</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>E</LANGUAGE>
    <DESCRIPTION>Devuelve la lista de conjuntos de categorías ASCP</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>F</LANGUAGE>
    <DESCRIPTION>Retourne la liste des ensembles de catégories ASCP</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>I</LANGUAGE>
    <DESCRIPTION>Restituisce l&apos;elenco dei set di categorie ASCP</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>JA</LANGUAGE>
    <DESCRIPTION>ASCPカテゴリセットのリストを返します</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>KO</LANGUAGE>
    <DESCRIPTION>ASCP 범주 세트 목록을 반환합니다.</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>PTB</LANGUAGE>
    <DESCRIPTION>Devolve a lista dos conjuntos de categorias ASCP</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>RU</LANGUAGE>
    <DESCRIPTION>Возвращает список наборов категорий ASCP</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>S</LANGUAGE>
    <DESCRIPTION>Returnerar listan över ASCP-kategorisatser</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>TR</LANGUAGE>
    <DESCRIPTION>ASCP Kategori Kümelerinin listesini verir</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>US</LANGUAGE>
    <DESCRIPTION>Returns the list of ASCP Category Sets</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>ZHS</LANGUAGE>
    <DESCRIPTION>返回ASCP类别集的列表</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
  </LOV_TRANSLATIONS>
 </LOVS_ROW>
<!-- loader xml for Enginatics Blitz Report lov: MSC Category within a specified Category Set -->
 <LOVS_ROW>
  <GUID>A85776F7DF3D52E0E0530100007F6064</GUID>
  <LOV_NAME>MSC Category within a specified Category Set</LOV_NAME>
  <VALIDATE_FROM_LIST>Y</VALIDATE_FROM_LIST>
  <FILTER_BEFORE_DISPLAY>Y</FILTER_BEFORE_DISPLAY>
  <LOV_QUERY>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)</LOV_QUERY>
  <LOV_TRANSLATIONS>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>AR</LANGUAGE>
    <DESCRIPTION>تُرجع قائمة فئات ASCP ضمن مجموعة فئات محددة
</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>D</LANGUAGE>
    <DESCRIPTION>Liefert die Liste der ASCP-Kategorien innerhalb eines angegebenen Kategorie-Sets
</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>E</LANGUAGE>
    <DESCRIPTION>Devuelve la lista de categorías ASCP dentro de un conjunto de categorías especificado
</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>F</LANGUAGE>
    <DESCRIPTION>Renvoie la liste des catégories ASCP dans un ensemble de catégories spécifié
</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>I</LANGUAGE>
    <DESCRIPTION>Restituisce l&apos;elenco delle categorie ASCP all&apos;interno di un set di categorie specificato
</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>JA</LANGUAGE>
    <DESCRIPTION>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。
</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>KO</LANGUAGE>
    <DESCRIPTION>지정된 범주 집합 내의 ASCP 범주 목록을 반환합니다.
</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>PTB</LANGUAGE>
    <DESCRIPTION>Retorna a lista de categorias ASCP dentro de um conjunto de categorias especificado
</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>RU</LANGUAGE>
    <DESCRIPTION>Возвращает список категорий ASCP в пределах указанного набора категорий.
</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>S</LANGUAGE>
    <DESCRIPTION>Returnerar listan över ASCP-kategorier inom en angiven kategorisats
</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>TR</LANGUAGE>
    <DESCRIPTION>Belirli bir Kategori Kümesi içindeki ASCP Kategorilerinin listesini verir
</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>US</LANGUAGE>
    <DESCRIPTION>Returns the list of ASCP Categories within a specified Category Set
</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>ZHS</LANGUAGE>
    <DESCRIPTION>返回指定类别集中的ASCP类别列表。
</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
  </LOV_TRANSLATIONS>
 </LOVS_ROW>
<!-- loader xml for Enginatics Blitz Report lov: MSC Exception Group -->
 <LOVS_ROW>
  <GUID>A8A420F0D8713B06E0530100007F3D20</GUID>
  <LOV_NAME>MSC Exception Group</LOV_NAME>
  <VALIDATE_FROM_LIST>Y</VALIDATE_FROM_LIST>
  <LOV_QUERY>select
 flv.meaning value
,null description
from
 fnd_lookup_values@A2M_DBLINK flv
where
 flv.lookup_type = &apos;MSC_EXCEPTION_GROUP&apos; and
 flv.view_application_id = 700 and
 flv.security_group_id = 0 and
 flv.enabled_flag = &apos;Y&apos; 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 (&apos;B&apos;,&apos;I&apos;) and language_code = userenv(&apos;lang&apos;)),fnd_global.base_language@A2M_DBLINK)
order by
 lower(flv.meaning)</LOV_QUERY>
  <LOV_TRANSLATIONS>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>AR</LANGUAGE>
    <DESCRIPTION>تُرجع قائمة مجموعات استثناء ASCP</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>D</LANGUAGE>
    <DESCRIPTION>Gibt die Liste der ASCP-Exception-Groups zurück</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>E</LANGUAGE>
    <DESCRIPTION>Devuelve la lista de Grupos de Excepción ASCP</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>F</LANGUAGE>
    <DESCRIPTION>Renvoie la liste des groupes d&apos;exception de l&apos;ASCP</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>I</LANGUAGE>
    <DESCRIPTION>Restituisce l&apos;elenco dei gruppi di eccezioni ASCP</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>JA</LANGUAGE>
    <DESCRIPTION>ASCP例外グループのリストを返します</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>KO</LANGUAGE>
    <DESCRIPTION>ASCP 예외 그룹 목록을 반환합니다.</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>PTB</LANGUAGE>
    <DESCRIPTION>Retorna a lista de Grupos de Exceção ASCP</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>RU</LANGUAGE>
    <DESCRIPTION>Возвращает список групп исключений ASCP</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>S</LANGUAGE>
    <DESCRIPTION>Returnerar listan över ASCP-undantagsgrupper</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>TR</LANGUAGE>
    <DESCRIPTION>ASCP İstisna Gruplarının listesini verir</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>US</LANGUAGE>
    <DESCRIPTION>Returns the list of ASCP Exception Groups</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>ZHS</LANGUAGE>
    <DESCRIPTION>返回ASCP异常组的列表</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
  </LOV_TRANSLATIONS>
 </LOVS_ROW>
<!-- loader xml for Enginatics Blitz Report lov: MSC Exception Type -->
 <LOVS_ROW>
  <GUID>A8619783803618A1E0530100007F1391</GUID>
  <LOV_NAME>MSC Exception Type</LOV_NAME>
  <VALIDATE_FROM_LIST>Y</VALIDATE_FROM_LIST>
  <LOV_QUERY>with q_excptn_group as
(
-- map the exception group from msc lang to local user lang
select
 flv2.meaning exception_group
from
 fnd_lookup_values@A2M_DBLINK flv1, -- in msc lang
 fnd_lookup_values flv2             -- in local user lang
where
 flv1.lookup_type = &apos;MSC_EXCEPTION_GROUP&apos; and
 flv1.meaning = :$flex$.exception_group and
 flv1.view_application_id = 700 and
 flv1.security_group_id = 0 and
 flv1.language = nvl((select fl.language_code from fnd_languages@A2M_DBLINK fl where fl.installed_flag in (&apos;B&apos;,&apos;I&apos;) and language_code = userenv(&apos;lang&apos;)),fnd_global.base_language@A2M_DBLINK) and
 flv2.lookup_type = flv1.lookup_type and
 flv2.lookup_code = flv1.lookup_code and
 flv2.view_application_id = flv1.view_application_id and
 flv2.security_group_id = flv1.security_group_id and
 flv2.language = userenv(&apos;lang&apos;)  
) 
select
 flv.meaning value
,null description
from
 fnd_lookup_values@A2M_DBLINK flv
where
 flv.lookup_type = &apos;MRP_EXCEPTION_CODE_TYPE&apos; and
 flv.view_application_id = 700 and
 flv.security_group_id = 0 and
 flv.enabled_flag = &apos;Y&apos; 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 (&apos;B&apos;,&apos;I&apos;) and language_code = userenv(&apos;lang&apos;)),fnd_global.base_language@A2M_DBLINK) and
 (:$flex$.exception_group is null or
  exists
  -- msc_phub_util.get_exception_group must run locally in case the user lang is not installed in the msc instance
  (select null from q_excptn_group where q_excptn_group.exception_group = msc_phub_util.get_exception_group(flv.lookup_code))
 )
order by
 lower(flv.meaning)</LOV_QUERY>
  <LOV_TRANSLATIONS>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>AR</LANGUAGE>
    <DESCRIPTION>تُرجع قائمة أنواع استثناءات ASCP</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>D</LANGUAGE>
    <DESCRIPTION>Gibt die Liste der ASCP-Exception-Typen zurück</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>E</LANGUAGE>
    <DESCRIPTION>Devuelve la lista de Tipos de Excepción ASCP</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>F</LANGUAGE>
    <DESCRIPTION>Renvoie la liste des types d&apos;exception de l&apos;ASCP</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>I</LANGUAGE>
    <DESCRIPTION>Restituisce l&apos;elenco dei tipi di eccezione ASCP</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>JA</LANGUAGE>
    <DESCRIPTION>ASCP例外タイプのリストを返します</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>KO</LANGUAGE>
    <DESCRIPTION>ASCP 예외 유형 목록을 반환합니다.</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>PTB</LANGUAGE>
    <DESCRIPTION>Retorna a lista de tipos de exceções ASCP</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>RU</LANGUAGE>
    <DESCRIPTION>Возвращает список типов исключений ASCP</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>S</LANGUAGE>
    <DESCRIPTION>Returnerar listan över ASCP-undantagstyper</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>TR</LANGUAGE>
    <DESCRIPTION>ASCP İstisna Türlerinin listesini verir</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>US</LANGUAGE>
    <DESCRIPTION>Returns the list of ASCP Exception Types</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>ZHS</LANGUAGE>
    <DESCRIPTION>返回ASCP异常类型的列表</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
  </LOV_TRANSLATIONS>
 </LOVS_ROW>
<!-- loader xml for Enginatics Blitz Report lov: MSC Plan Name -->
 <LOVS_ROW>
  <GUID>A8452450392C6F2FE0530100007F6DF4</GUID>
  <LOV_NAME>MSC Plan Name</LOV_NAME>
  <VALIDATE_FROM_LIST>Y</VALIDATE_FROM_LIST>
  <LOV_QUERY>select 
 mp.compile_designator value
,null description
from 
 msc_plans@A2M_DBLINK mp,
 msc_apps_instances@A2M_DBLINK mai 
where mp.plan_id &gt; 0 
and mp.sr_instance_id = mai.instance_id
and mai.instance_code =:$flex$.planning_instance
order by lower(mp.compile_designator)</LOV_QUERY>
  <LOV_TRANSLATIONS>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>AR</LANGUAGE>
    <DESCRIPTION>إرجاع قائمة بأسماء خطة ASCP
</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>D</LANGUAGE>
    <DESCRIPTION>Gibt die Liste der ASCP-Plan-Namen zurück
</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>E</LANGUAGE>
    <DESCRIPTION>Devuelve la lista de nombres de planes ASCP
</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>F</LANGUAGE>
    <DESCRIPTION>Retourne la liste des noms de plans ASCP
</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>I</LANGUAGE>
    <DESCRIPTION>Restituisce l&apos;elenco dei nomi dei piani ASCP
</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>JA</LANGUAGE>
    <DESCRIPTION>ASCPプラン名のリストを返します
</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>KO</LANGUAGE>
    <DESCRIPTION>ASCP 계획 명 목록을 반환합니다.
</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>PTB</LANGUAGE>
    <DESCRIPTION>Retorna a lista de nomes dos planos ASCP
</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>RU</LANGUAGE>
    <DESCRIPTION>Возвращает список названий планов ASCP
</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>S</LANGUAGE>
    <DESCRIPTION>Returnerar listan över ASCP-plannamn
</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>TR</LANGUAGE>
    <DESCRIPTION>ASCP Plan Adlarının listesini verir
</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>US</LANGUAGE>
    <DESCRIPTION>Returns the list of ASCP Plan Names
</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>ZHS</LANGUAGE>
    <DESCRIPTION>返回ASCP计划名称的列表
</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
  </LOV_TRANSLATIONS>
 </LOVS_ROW>
<!-- loader xml for Enginatics Blitz Report lov: MSC Plan Organization Codes -->
 <LOVS_ROW>
  <GUID>A84529F80CED6F4AE0530100007FD38E</GUID>
  <LOV_NAME>MSC Plan Organization Codes</LOV_NAME>
  <VALIDATE_FROM_LIST>Y</VALIDATE_FROM_LIST>
  <LOV_QUERY>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)</LOV_QUERY>
  <LOV_TRANSLATIONS>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>AR</LANGUAGE>
    <DESCRIPTION>تُرجع قائمة رموز المنظمة ضمن خطة ASCP المحددة
</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>D</LANGUAGE>
    <DESCRIPTION>Gibt die Liste der Organization Codes innerhalb des angegebenen ASCP-Plans zurück
</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>E</LANGUAGE>
    <DESCRIPTION>Devuelve la lista de Códigos de Organización dentro del Plan ASCP especificado
</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>F</LANGUAGE>
    <DESCRIPTION>Renvoie la liste des codes d&apos;organisation dans le cadre du plan ASCP spécifié
</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>I</LANGUAGE>
    <DESCRIPTION>Restituisce l&apos;elenco dei codici di organizzazione all&apos;interno del piano ASCP specificato
</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>JA</LANGUAGE>
    <DESCRIPTION>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
</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>KO</LANGUAGE>
    <DESCRIPTION>지정된 ASCP 계획 내의 조직 코드 목록을 반환합니다.
</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>PTB</LANGUAGE>
    <DESCRIPTION>Retorna a lista de Códigos de Organização dentro do Plano ASCP especificado
</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>RU</LANGUAGE>
    <DESCRIPTION>Возвращает список организационных кодов в рамках указанного плана ППКП
</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>S</LANGUAGE>
    <DESCRIPTION>Returnerar listan över organisationskoder inom den angivna ASCP-planen
</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>TR</LANGUAGE>
    <DESCRIPTION>Belirtilen ASCP Planı dahilinde Organizasyon Kodlarının listesini verir
</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>US</LANGUAGE>
    <DESCRIPTION>Returns the list of Organization Codes within the specified ASCP Plan
</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>ZHS</LANGUAGE>
    <DESCRIPTION>返回指定ASCP计划中的组织代码列表。
</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
  </LOV_TRANSLATIONS>
 </LOVS_ROW>
<!-- loader xml for Enginatics Blitz Report lov: MSC Planned Item -->
 <LOVS_ROW>
  <GUID>A844FAB91C4F7309E0530100007F496B</GUID>
  <LOV_NAME>MSC Planned Item</LOV_NAME>
  <VALIDATE_FROM_LIST>Y</VALIDATE_FROM_LIST>
  <FILTER_BEFORE_DISPLAY>Y</FILTER_BEFORE_DISPLAY>
  <LOV_QUERY>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)</LOV_QUERY>
  <LOV_TRANSLATIONS>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>AR</LANGUAGE>
    <DESCRIPTION>تُرجع قائمة عناصر ASCP المخططة</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>D</LANGUAGE>
    <DESCRIPTION>Liefert die Liste der ASCP Planned Items</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>E</LANGUAGE>
    <DESCRIPTION>Devuelve la lista de elementos planificados de ASCP</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>F</LANGUAGE>
    <DESCRIPTION>Renvoie la liste des articles prévus par l&apos;ASCP</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>I</LANGUAGE>
    <DESCRIPTION>Restituisce l&apos;elenco degli elementi pianificati ASCP</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>JA</LANGUAGE>
    <DESCRIPTION>ASCP 予定項目のリストを返します</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>KO</LANGUAGE>
    <DESCRIPTION>ASCP 계획 품목 목록을 반환합니다.</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>PTB</LANGUAGE>
    <DESCRIPTION>Retorna a lista de itens planejados da ASCP</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>RU</LANGUAGE>
    <DESCRIPTION>Возвращает список запланированных элементов ППКП</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>S</LANGUAGE>
    <DESCRIPTION>Returnerar listan över ASCP-planerade objekt</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>TR</LANGUAGE>
    <DESCRIPTION>ASCP Planlanan Öğelerin listesini döndürür</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>US</LANGUAGE>
    <DESCRIPTION>Returns the list of ASCP Planned Items</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>ZHS</LANGUAGE>
    <DESCRIPTION>返回ASCP计划项目的列表</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
  </LOV_TRANSLATIONS>
 </LOVS_ROW>
<!-- loader xml for Enginatics Blitz Report lov: MSC Planner Code -->
 <LOVS_ROW>
  <GUID>A85765FE708251D8E0530100007FCD1D</GUID>
  <LOV_NAME>MSC Planner Code</LOV_NAME>
  <VALIDATE_FROM_LIST>Y</VALIDATE_FROM_LIST>
  <LOV_QUERY>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) = &apos;Y&apos;
) and
mpl.sr_instance_id    = mpo.sr_instance_id and
mpl.organization_id   = mpo.organization_id
order by lower(mpl.planner_code)</LOV_QUERY>
  <LOV_TRANSLATIONS>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>AR</LANGUAGE>
    <DESCRIPTION>تُرجع قائمة رموز مخطط ASCP</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>D</LANGUAGE>
    <DESCRIPTION>Gibt die Liste der ASCP Planner Codes zurück</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>E</LANGUAGE>
    <DESCRIPTION>Devuelve la lista de los códigos de planificación ASCP</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>F</LANGUAGE>
    <DESCRIPTION>Renvoie la liste des codes de planificateurs de l&apos;ASCP</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>I</LANGUAGE>
    <DESCRIPTION>Restituisce l&apos;elenco dei codici ASCP Planner</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>JA</LANGUAGE>
    <DESCRIPTION>ASCPプランナーコードのリストを返します。</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>KO</LANGUAGE>
    <DESCRIPTION>ASCP 계획자 코드 목록을 반환합니다.</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>PTB</LANGUAGE>
    <DESCRIPTION>Retorna a lista de Códigos de Planejamento ASCP</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>RU</LANGUAGE>
    <DESCRIPTION>Возвращает список кодов Планировщика ASCP</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>S</LANGUAGE>
    <DESCRIPTION>Returnerar listan över ASCP-planeringskoder</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>TR</LANGUAGE>
    <DESCRIPTION>ASCP Planlayıcı Kodlarının listesini döndürür</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>US</LANGUAGE>
    <DESCRIPTION>Returns the list of ASCP Planner Codes</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>ZHS</LANGUAGE>
    <DESCRIPTION>返回ASCP规划师代码的列表。</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
  </LOV_TRANSLATIONS>
 </LOVS_ROW>
<!-- loader xml for Enginatics Blitz Report lov: MSC Planning Instance -->
 <LOVS_ROW>
  <GUID>A8454EC5D1EB6FE9E0530100007F0874</GUID>
  <LOV_NAME>MSC Planning Instance</LOV_NAME>
  <VALIDATE_FROM_LIST>Y</VALIDATE_FROM_LIST>
  <LOV_QUERY>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</LOV_QUERY>
  <LOV_TRANSLATIONS>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>AR</LANGUAGE>
    <DESCRIPTION>تُرجع قائمة مثيلات تخطيط ASCP
</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>D</LANGUAGE>
    <DESCRIPTION>Gibt die Liste der ASCP-Planungsinstanzen zurück
</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>E</LANGUAGE>
    <DESCRIPTION>Devuelve la lista de instancias de planificación ASCP
</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>F</LANGUAGE>
    <DESCRIPTION>Renvoie la liste des instances de planification de l&apos;ASCP
</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>I</LANGUAGE>
    <DESCRIPTION>Restituisce l&apos;elenco delle istanze di pianificazione ASCP
</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>JA</LANGUAGE>
    <DESCRIPTION>ASCPプランニングインスタンスのリストを返します
</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>KO</LANGUAGE>
    <DESCRIPTION>ASCP 계획 인스턴스 목록을 반환합니다.
</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>PTB</LANGUAGE>
    <DESCRIPTION>Retorna a lista de Instâncias de Planejamento ASCP
</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>RU</LANGUAGE>
    <DESCRIPTION>Возвращает список случаев планирования ASCP
</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>S</LANGUAGE>
    <DESCRIPTION>Returnerar listan över ASCP-planeringsinstanser
</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>TR</LANGUAGE>
    <DESCRIPTION>ASCP Planlama Örneklerinin listesini verir
</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>US</LANGUAGE>
    <DESCRIPTION>Returns the list of ASCP Planning Instances
</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>ZHS</LANGUAGE>
    <DESCRIPTION>返回ASCP规划实例的列表
</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
  </LOV_TRANSLATIONS>
 </LOVS_ROW>
<!-- loader xml for Enginatics Blitz Report lov: Yes -->
 <LOVS_ROW>
  <GUID>8E2FF36EDEA679D2E0530100007F1FF2</GUID>
  <LOV_NAME>Yes</LOV_NAME>
  <VALIDATE_FROM_LIST>Y</VALIDATE_FROM_LIST>
  <LOV_QUERY>select &apos;Y&apos; id, xxen_util.meaning(&apos;Y&apos;,&apos;YES_NO&apos;,0) value, null description from dual</LOV_QUERY>
  <LOV_TRANSLATIONS>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>US</LANGUAGE>
   </LOV_TRANSLATIONS_ROW>
  </LOV_TRANSLATIONS>
 </LOVS_ROW>
</LOVS>
<REPORTS>
<!-- loader xml for Enginatics Blitz Report: MSC Exceptions -->
 <REPORTS_ROW>
  <GUID>A853CE1AFA3545D4E0530100007F43AC</GUID>
  <SQL_TEXT>select /*+ push_pred(medv)*/
mai.instance_code planning_instance,
mp.compile_designator plan_name,
medv.organization_code,
medv.project_number,
medv.task_number,
&amp;lp_custom_attributes
medv.planner_code,
medv.buyer_name,
msc_phub_util.get_exception_group&amp;a2m_dblink (medv.exception_type) exception_group,
medv.exception_type_text exception_type,
msc_get_name.lookup_meaning&amp;a2m_dblink (&apos;MSC_ADI_YES_NO&apos;,medv.action_taken)  action_taken,
-- item
medv.item_segments item,
medv.item_description,
(select mcs.category_set_name from msc_category_sets&amp;a2m_dblink mcs where medv.category_set_id=mcs.category_set_id) category_set_name,
medv.category_name,
regexp_substr(medv.category_name,&apos;[^.]+&apos;,1,1) category1,
regexp_substr(medv.category_name,&apos;[^.]+&apos;,1,2) category2,
medv.end_item_segments                end_item,
-- order details
medv.quantity                         quantity,
medv.order_number                     order_number,
coalesce(medv.order_type,msc_get_name.lookup_meaning&amp;a2m_dblink (&apos;MSC_DEMAND_ORIGINATION&apos;,md.origination_type)) order_type,
medv.end_order_number,
medv.firm_type,
medv.order_priority                   order_priority,
-- dates
trunc(medv.old_due_date)              old_due_date,
trunc(medv.due_date)                  due_date,
trunc(medv.dmd_schedule_due_date)     demand_scheduled_due_date,
trunc(medv.dmd_satisfied_date)        demand_satisfied_date,
trunc(medv.curr_date)                 current_date,
trunc(medv.from_date)                 from_date,
trunc(medv.to_date)                   to_date,
trunc(medv.request_ship_date)         request_ship_date,
trunc(medv.promise_ship_date)         promise_ship_date,
trunc(medv.orig_sched_ship_date)      orig_sched_ship_date,
trunc(medv.sched_ship_date)           sched_ship_date,
trunc(medv.sched_arrival_date)        sched_arrival_date,
trunc(medv.new_dock_date)             new_dock_date,
trunc(medv.comp_demand_date)          comp_demand_date,
trunc(medv.requested_start_date)      requested_start_date,
trunc(medv.requested_completion_date) requested_completion_date,
trunc(medv.required_completion_date)  required_completion_date,
trunc(medv.scheduled_completion_date) scheduled_completion_date,
--kpis
medv.days_late,
medv.days_late_arrival,
medv.days_late_beyond_ladate,
medv.days_early,
medv.days_early_arrival,
medv.days_early_before_ladate,
medv.days_past,
medv.days_past_due,
medv.compression_days,
medv.days_compressed,
medv.compression_pct,
medv.constraint_pct,
medv.reschedule_in_days,
medv.reschedule_out_days,
medv.excess_duration,
medv.excess_quantity,
medv.excess_quantity_pct,
medv.shortage_duration,
medv.shortage_quantity,
medv.shortage_quantity_pct,
medv.order_fcst_qty,
medv.actual_order_qty,
medv.qty_on_hand,
medv.qty_on_order,
medv.qty_mismatch,
medv.qty_mismatch_pct,
medv.delivery_perf_pct,
-- customer
medv.customer_name,
medv.customer_site,
medv.customer_item_name,
medv.customer_fcst_qty,
medv.customer_order_fcst_qty,
medv.customer_po,
medv.customer_po_release,
medv.customer_po_line,
medv.customer_po_quantity,
medv.customer_po_creation_date,
medv.customer_po_updated_date,
medv.customer_po_cancel_date,
medv.customer_po_need_by_date,
medv.customer_po_receipt_date,
-- demand
medv.demand_class,
medv.demand_organization_code,
medv.demand_quantity,
medv.demand_date_quantity,
medv.dmd_schedule_item_name           demand_schedule_item_name,
medv.dmd_schedule_order_number        demand_schedule_order_number,
medv.dmd_schedule_org_code            demand_schedule_org_code,
medv.dmd_schedule_qty                 demand_schedule_qty,
-- source
medv.source_organization_code,
-- destination
medv.dest_organization_code destination_organization_code,
-- supply
medv.supply_organization_code,
medv.supply_commit_qty,
medv.supply_item_segments,
medv.supply_order_type,
medv.supply_planner_code,
medv.supply_planning_group,
medv.supply_project_number,
medv.supply_task_number,
medv.supply_source_org_code,
medv.supply_supplier_name,
medv.supply_supplier_site,
-- supplier details
medv.supplier_name,
medv.supplier_site,
medv.supplier_so,
medv.supplier_so_creation_date,
medv.supplier_so_line,
medv.supplier_item_name,
medv.supplier_so_quantity,
medv.supplier_so_receipt_date,
medv.supplier_so_ship_date,
medv.supplier_supply_commit_qty,
medv.supplier_fcst_qty,
-- resource
medv.department_line_code,
medv.resource_type_code,
medv.resource_code,
medv.utilization_rate load_ratio,
-- counts
count(distinct medv.item_segments) over () item_count,
count(distinct medv.end_item_segments) over () end_item_count,
count(distinct medv.order_type || &apos;:&apos; || medv.order_number) over () order_count,
-- item dff attributes
&amp;lp_item_dff_cols
&apos;.&apos; last_col_flag
from
 msc_apps_instances&amp;a2m_dblink mai
,msc_plans&amp;a2m_dblink mp
,msc_exception_details_v&amp;a2m_dblink medv
,msc_system_items&amp;a2m_dblink msi
,msc_demands&amp;a2m_dblink md
where
1=1
and mai.instance_id        = mp.sr_instance_id
and mp.plan_id             = medv.plan_id
and mp.sr_instance_id      = medv.sr_instance_id
and medv.sr_instance_id    = msi.sr_instance_id
and medv.plan_id           = msi.plan_id
and medv.organization_id   = msi.organization_id
and medv.inventory_item_id = msi.inventory_item_id
and medv.sr_instance_id    = md.sr_instance_id (+)
and medv.plan_id           = md.plan_id (+)
and medv.demand_id         = md.demand_id (+)
and mai.instance_code      = :p_instance_code
and mp.compile_designator  = :p_plan_name
order by
mai.instance_code,
mp.compile_designator,
medv.organization_code,
medv.planner_code,
exception_group,
medv.exception_type_text,
medv.item_segments,
medv.from_date,
medv.due_date</SQL_TEXT>
  <ENABLED>Y</ENABLED>
  <DB_PACKAGE>XXEN_MSC</DB_PACKAGE>
  <REPORT_TRANSLATIONS>
   <REPORT_TRANSLATIONS_ROW>
    <LANGUAGE>AR</LANGUAGE>
    <REPORT_NAME>MSC Exceptions</REPORT_NAME>
    <DESCRIPTION>ASCP: تصدير استثناءات التخطيط من منضدة عمل المخططين.</DESCRIPTION>
   </REPORT_TRANSLATIONS_ROW>
   <REPORT_TRANSLATIONS_ROW>
    <LANGUAGE>D</LANGUAGE>
    <REPORT_NAME>MSC Exceptions</REPORT_NAME>
    <DESCRIPTION>ASCP: Planungsausnahmen aus der Planners Workbench exportieren.</DESCRIPTION>
   </REPORT_TRANSLATIONS_ROW>
   <REPORT_TRANSLATIONS_ROW>
    <LANGUAGE>E</LANGUAGE>
    <REPORT_NAME>MSC Exceptions</REPORT_NAME>
    <DESCRIPTION>ASCP: Exportación de excepciones de planificación desde el banco de trabajo de los planificadores.</DESCRIPTION>
   </REPORT_TRANSLATIONS_ROW>
   <REPORT_TRANSLATIONS_ROW>
    <LANGUAGE>F</LANGUAGE>
    <REPORT_NAME>MSC Exceptions</REPORT_NAME>
    <DESCRIPTION>ASCP : Exceptions à la planification des exportations du Workbench des planificateurs.</DESCRIPTION>
   </REPORT_TRANSLATIONS_ROW>
   <REPORT_TRANSLATIONS_ROW>
    <LANGUAGE>I</LANGUAGE>
    <REPORT_NAME>MSC Exceptions</REPORT_NAME>
    <DESCRIPTION>ASCP: esportazione delle eccezioni di pianificazione dal Planners Workbench.</DESCRIPTION>
   </REPORT_TRANSLATIONS_ROW>
   <REPORT_TRANSLATIONS_ROW>
    <LANGUAGE>JA</LANGUAGE>
    <REPORT_NAME>MSC Exceptions</REPORT_NAME>
    <DESCRIPTION>ASCP: プランナーズワークベンチからプランニングの例外をエクスポートします。</DESCRIPTION>
   </REPORT_TRANSLATIONS_ROW>
   <REPORT_TRANSLATIONS_ROW>
    <LANGUAGE>KO</LANGUAGE>
    <REPORT_NAME>MSC Exceptions</REPORT_NAME>
    <DESCRIPTION>ASCP : 계획자 워크 벤치에서 계획 예외를 내 보냅니다.</DESCRIPTION>
   </REPORT_TRANSLATIONS_ROW>
   <REPORT_TRANSLATIONS_ROW>
    <LANGUAGE>PTB</LANGUAGE>
    <REPORT_NAME>MSC Exceptions</REPORT_NAME>
    <DESCRIPTION>ASCP: Exceções de Planejamento de Exportação do Planners Workbench.</DESCRIPTION>
   </REPORT_TRANSLATIONS_ROW>
   <REPORT_TRANSLATIONS_ROW>
    <LANGUAGE>RU</LANGUAGE>
    <REPORT_NAME>MSC Exceptions</REPORT_NAME>
    <DESCRIPTION>ASCP: Исключения по экспортному планированию из рабочего стола планировщиков.</DESCRIPTION>
   </REPORT_TRANSLATIONS_ROW>
   <REPORT_TRANSLATIONS_ROW>
    <LANGUAGE>S</LANGUAGE>
    <REPORT_NAME>MSC Exceptions</REPORT_NAME>
    <DESCRIPTION>ASCP: Exportera planeringsundantag från Planners Workbench.</DESCRIPTION>
   </REPORT_TRANSLATIONS_ROW>
   <REPORT_TRANSLATIONS_ROW>
    <LANGUAGE>TR</LANGUAGE>
    <REPORT_NAME>MSC Exceptions</REPORT_NAME>
    <DESCRIPTION>ASCP: Planners Workbench&apos;ten Planlama İstisnalarını Dışa Aktarın.</DESCRIPTION>
   </REPORT_TRANSLATIONS_ROW>
   <REPORT_TRANSLATIONS_ROW>
    <LANGUAGE>US</LANGUAGE>
    <REPORT_NAME>MSC Exceptions</REPORT_NAME>
    <DESCRIPTION>ASCP: Export Planning Exceptions from the Planners Workbench.</DESCRIPTION>
   </REPORT_TRANSLATIONS_ROW>
   <REPORT_TRANSLATIONS_ROW>
    <LANGUAGE>ZHS</LANGUAGE>
    <REPORT_NAME>MSC Exceptions</REPORT_NAME>
    <DESCRIPTION>ASCP：从规划师工作台导出规划异常。</DESCRIPTION>
   </REPORT_TRANSLATIONS_ROW>
  </REPORT_TRANSLATIONS>
  <CATEGORY_ASSIGNMENTS>
   <CATEGORY_ASSIGNMENTS_ROW>
    <CATEGORY>Enginatics</CATEGORY>
   </CATEGORY_ASSIGNMENTS_ROW>
   <CATEGORY_ASSIGNMENTS_ROW>
    <CATEGORY>R12 only</CATEGORY>
   </CATEGORY_ASSIGNMENTS_ROW>
  </CATEGORY_ASSIGNMENTS>
  <ANCHORS>
   <ANCHORS_ROW>
    <ANCHOR>&amp;a2m_dblink</ANCHOR>
   </ANCHORS_ROW>
   <ANCHORS_ROW>
    <ANCHOR>&amp;lp_custom_attributes</ANCHOR>
   </ANCHORS_ROW>
   <ANCHORS_ROW>
    <ANCHOR>&amp;lp_item_dff_cols</ANCHOR>
   </ANCHORS_ROW>
   <ANCHORS_ROW>
    <ANCHOR>1=1</ANCHOR>
   </ANCHORS_ROW>
   <ANCHORS_ROW>
    <ANCHOR>:p_instance_code</ANCHOR>
   </ANCHORS_ROW>
   <ANCHORS_ROW>
    <ANCHOR>:p_plan_name</ANCHOR>
   </ANCHORS_ROW>
  </ANCHORS>
  <PARAMETERS>
   <PARAMETERS_ROW>
    <SORT_ORDER>1</SORT_ORDER>
    <DISPLAY_SEQUENCE>-10</DISPLAY_SEQUENCE>
    <ANCHOR>1=1</ANCHOR>
    <SQL_TEXT>(mai.instance_id,mp.plan_id,medv.organization_id,medv.inventory_item_id) in
(
select
number1 instance_id,
number2 plan_id,
number3 organization_id,
number4 inventory_item_id
from
msc_form_query&amp;a2m_dblink mfq
)</SQL_TEXT>
    <PARAMETER_TYPE_DSP>Char</PARAMETER_TYPE_DSP>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>instance_id|plan_id|organization_id|inventory_item_id</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>2</SORT_ORDER>
    <DISPLAY_SEQUENCE>100</DISPLAY_SEQUENCE>
    <ANCHOR>:p_instance_code</ANCHOR>
    <PARAMETER_TYPE_DSP>LOV</PARAMETER_TYPE_DSP>
    <LOV_NAME>MSC Planning Instance</LOV_NAME>
    <LOV_GUID>A8454EC5D1EB6FE9E0530100007F0874</LOV_GUID>
    <VALIDATE_FROM_LIST_DSP>Y</VALIDATE_FROM_LIST_DSP>
    <LOV_QUERY_DSP>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</LOV_QUERY_DSP>
    <REQUIRED>Y</REQUIRED>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>Planning Instance</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>3</SORT_ORDER>
    <ANCHOR>&amp;a2m_dblink</ANCHOR>
    <SQL_TEXT>select nvl2(maaia.a2m_dblink,&apos;@&apos;||maaia.a2m_dblink,null) a2m_dblink from mrp_ap_apps_instances_all maaia where maaia.instance_code = :p_instance_code</SQL_TEXT>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>Planning Instance</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>4</SORT_ORDER>
    <ANCHOR>&amp;lp_custom_attributes</ANCHOR>
    <SQL_TEXT>select
 replace(replace(replace(replace(replace(flvv.description,
  &apos;&lt;INSTID&gt;&apos;, &apos;medv.sr_instance_id&apos;),
  &apos;&lt;PLANID&gt;&apos;, &apos;medv.plan_id&apos;),
  &apos;&lt;SD&gt;&apos;    , &apos;nvl2(medv.demand_id,&apos;&apos;D&apos;&apos;,&apos;&apos;S&apos;&apos;)&apos;),
  &apos;&lt;WHSID&gt;&apos; , &apos;medv.organization_id&apos;),
  &apos;&lt;TRXID&gt;&apos; , &apos;nvl(medv.demand_id,medv.transaction_id)&apos;
  ) 
  || &apos; &apos; 
  || &apos;&quot;&apos; || substrb(rtrim(ltrim(rtrim(ltrim(translate(flvv.meaning,&apos;A.+-/\=?#,;:&apos;&apos;&quot;&apos;,&apos;A_____________&apos;))),&apos;_&apos;),&apos;_&apos;),1,xxen_report.max_column_length) || &apos;&quot;&apos;
  || &apos;,&apos;
from
fnd_lookup_values_vl flvv
where
flvv.lookup_type = &apos;XXEN_MSC_CUSTOM_ATTRIBUTES&apos; and
flvv.view_application_id = 0 and
flvv.enabled_flag = &apos;Y&apos; and
trunc(sysdate) between nvl(flvv.start_date_active,trunc(sysdate)) and nvl(flvv.end_date_active,trunc(sysdate))
order by
flvv.meaning</SQL_TEXT>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>Planning Instance</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>5</SORT_ORDER>
    <DISPLAY_SEQUENCE>110</DISPLAY_SEQUENCE>
    <ANCHOR>:p_plan_name</ANCHOR>
    <PARAMETER_TYPE_DSP>LOV</PARAMETER_TYPE_DSP>
    <LOV_NAME>MSC Plan Name</LOV_NAME>
    <LOV_GUID>A8452450392C6F2FE0530100007F6DF4</LOV_GUID>
    <VALIDATE_FROM_LIST_DSP>Y</VALIDATE_FROM_LIST_DSP>
    <LOV_QUERY_DSP>select 
 mp.compile_designator value
,null description
from 
 msc_plans@A2M_DBLINK mp,
 msc_apps_instances@A2M_DBLINK mai 
where mp.plan_id &gt; 0 
and mp.sr_instance_id = mai.instance_id
and mai.instance_code =:$flex$.planning_instance
order by lower(mp.compile_designator)</LOV_QUERY_DSP>
    <REQUIRED>Y</REQUIRED>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>Plan</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>6</SORT_ORDER>
    <DISPLAY_SEQUENCE>120</DISPLAY_SEQUENCE>
    <ANCHOR>1=1</ANCHOR>
    <SQL_TEXT>medv.organization_code = :org_code</SQL_TEXT>
    <PARAMETER_TYPE_DSP>LOV</PARAMETER_TYPE_DSP>
    <LOV_NAME>MSC Plan Organization Codes</LOV_NAME>
    <LOV_GUID>A84529F80CED6F4AE0530100007FD38E</LOV_GUID>
    <VALIDATE_FROM_LIST_DSP>Y</VALIDATE_FROM_LIST_DSP>
    <LOV_QUERY_DSP>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)</LOV_QUERY_DSP>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>Organization</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>7</SORT_ORDER>
    <DISPLAY_SEQUENCE>130</DISPLAY_SEQUENCE>
    <ANCHOR>1=1</ANCHOR>
    <SQL_TEXT>medv.category_set_id in (select mcs.category_set_id from msc_category_sets&amp;a2m_dblink mcs where mcs.category_set_name=:p_cat_set_name)</SQL_TEXT>
    <PARAMETER_TYPE_DSP>LOV</PARAMETER_TYPE_DSP>
    <LOV_NAME>MSC Category Set</LOV_NAME>
    <LOV_GUID>A85770BE6AD052E2E0530100007F2871</LOV_GUID>
    <VALIDATE_FROM_LIST_DSP>Y</VALIDATE_FROM_LIST_DSP>
    <LOV_QUERY_DSP>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)</LOV_QUERY_DSP>
    <DEFAULT_VALUE>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
</DEFAULT_VALUE>
    <REQUIRED>Y</REQUIRED>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>Category Set</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>8</SORT_ORDER>
    <DISPLAY_SEQUENCE>140</DISPLAY_SEQUENCE>
    <ANCHOR>1=1</ANCHOR>
    <SQL_TEXT>medv.category_name = :cat</SQL_TEXT>
    <PARAMETER_TYPE_DSP>LOV</PARAMETER_TYPE_DSP>
    <LOV_NAME>MSC Category within a specified Category Set</LOV_NAME>
    <LOV_GUID>A85776F7DF3D52E0E0530100007F6064</LOV_GUID>
    <VALIDATE_FROM_LIST_DSP>Y</VALIDATE_FROM_LIST_DSP>
    <FILTER_BEFORE_DISPLAY_DSP>Y</FILTER_BEFORE_DISPLAY_DSP>
    <LOV_QUERY_DSP>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)</LOV_QUERY_DSP>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>Category</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>9</SORT_ORDER>
    <DISPLAY_SEQUENCE>150</DISPLAY_SEQUENCE>
    <ANCHOR>1=1</ANCHOR>
    <SQL_TEXT>medv.item_segments=:item</SQL_TEXT>
    <PARAMETER_TYPE_DSP>LOV</PARAMETER_TYPE_DSP>
    <LOV_NAME>MSC Planned Item</LOV_NAME>
    <LOV_GUID>A844FAB91C4F7309E0530100007F496B</LOV_GUID>
    <VALIDATE_FROM_LIST_DSP>Y</VALIDATE_FROM_LIST_DSP>
    <FILTER_BEFORE_DISPLAY_DSP>Y</FILTER_BEFORE_DISPLAY_DSP>
    <LOV_QUERY_DSP>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)</LOV_QUERY_DSP>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>Item</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>10</SORT_ORDER>
    <DISPLAY_SEQUENCE>160</DISPLAY_SEQUENCE>
    <ANCHOR>1=1</ANCHOR>
    <SQL_TEXT>medv.planner_code = :planner</SQL_TEXT>
    <PARAMETER_TYPE_DSP>LOV</PARAMETER_TYPE_DSP>
    <LOV_NAME>MSC Planner Code</LOV_NAME>
    <LOV_GUID>A85765FE708251D8E0530100007FCD1D</LOV_GUID>
    <VALIDATE_FROM_LIST_DSP>Y</VALIDATE_FROM_LIST_DSP>
    <LOV_QUERY_DSP>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) = &apos;Y&apos;
) and
mpl.sr_instance_id    = mpo.sr_instance_id and
mpl.organization_id   = mpo.organization_id
order by lower(mpl.planner_code)</LOV_QUERY_DSP>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>Planner</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>11</SORT_ORDER>
    <DISPLAY_SEQUENCE>170</DISPLAY_SEQUENCE>
    <ANCHOR>1=1</ANCHOR>
    <SQL_TEXT>medv.buyer_name = :buyer</SQL_TEXT>
    <PARAMETER_TYPE_DSP>LOV</PARAMETER_TYPE_DSP>
    <LOV_NAME>MSC Buyer Name</LOV_NAME>
    <LOV_GUID>A8576D437D9C52DEE0530100007F5406</LOV_GUID>
    <VALIDATE_FROM_LIST_DSP>Y</VALIDATE_FROM_LIST_DSP>
    <LOV_QUERY_DSP>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) = &apos;Y&apos;
) 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)</LOV_QUERY_DSP>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>Buyer</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>12</SORT_ORDER>
    <DISPLAY_SEQUENCE>180</DISPLAY_SEQUENCE>
    <ANCHOR>1=1</ANCHOR>
    <SQL_TEXT>msc_phub_util.get_exception_group&amp;a2m_dblink (medv.exception_type) = :excptn_grp</SQL_TEXT>
    <PARAMETER_TYPE_DSP>LOV</PARAMETER_TYPE_DSP>
    <LOV_NAME>MSC Exception Group</LOV_NAME>
    <LOV_GUID>A8A420F0D8713B06E0530100007F3D20</LOV_GUID>
    <VALIDATE_FROM_LIST_DSP>Y</VALIDATE_FROM_LIST_DSP>
    <LOV_QUERY_DSP>select
 flv.meaning value
,null description
from
 fnd_lookup_values@A2M_DBLINK flv
where
 flv.lookup_type = &apos;MSC_EXCEPTION_GROUP&apos; and
 flv.view_application_id = 700 and
 flv.security_group_id = 0 and
 flv.enabled_flag = &apos;Y&apos; 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 (&apos;B&apos;,&apos;I&apos;) and language_code = userenv(&apos;lang&apos;)),fnd_global.base_language@A2M_DBLINK)
order by
 lower(flv.meaning)</LOV_QUERY_DSP>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>Exception Group</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>13</SORT_ORDER>
    <DISPLAY_SEQUENCE>190</DISPLAY_SEQUENCE>
    <ANCHOR>1=1</ANCHOR>
    <SQL_TEXT>medv.exception_type_text=:excptn</SQL_TEXT>
    <PARAMETER_TYPE_DSP>LOV</PARAMETER_TYPE_DSP>
    <LOV_NAME>MSC Exception Type</LOV_NAME>
    <LOV_GUID>A8619783803618A1E0530100007F1391</LOV_GUID>
    <VALIDATE_FROM_LIST_DSP>Y</VALIDATE_FROM_LIST_DSP>
    <LOV_QUERY_DSP>with q_excptn_group as
(
-- map the exception group from msc lang to local user lang
select
 flv2.meaning exception_group
from
 fnd_lookup_values@A2M_DBLINK flv1, -- in msc lang
 fnd_lookup_values flv2             -- in local user lang
where
 flv1.lookup_type = &apos;MSC_EXCEPTION_GROUP&apos; and
 flv1.meaning = :$flex$.exception_group and
 flv1.view_application_id = 700 and
 flv1.security_group_id = 0 and
 flv1.language = nvl((select fl.language_code from fnd_languages@A2M_DBLINK fl where fl.installed_flag in (&apos;B&apos;,&apos;I&apos;) and language_code = userenv(&apos;lang&apos;)),fnd_global.base_language@A2M_DBLINK) and
 flv2.lookup_type = flv1.lookup_type and
 flv2.lookup_code = flv1.lookup_code and
 flv2.view_application_id = flv1.view_application_id and
 flv2.security_group_id = flv1.security_group_id and
 flv2.language = userenv(&apos;lang&apos;)  
) 
select
 flv.meaning value
,null description
from
 fnd_lookup_values@A2M_DBLINK flv
where
 flv.lookup_type = &apos;MRP_EXCEPTION_CODE_TYPE&apos; and
 flv.view_application_id = 700 and
 flv.security_group_id = 0 and
 flv.enabled_flag = &apos;Y&apos; 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 (&apos;B&apos;,&apos;I&apos;) and language_code = userenv(&apos;lang&apos;)),fnd_global.base_language@A2M_DBLINK) and
 (:$flex$.exception_group is null or
  exists
  -- msc_phub_util.get_exception_group must run locally in case the user lang is not installed in the msc instance
  (select null from q_excptn_group where q_excptn_group.exception_group = msc_phub_util.get_exception_group(flv.lookup_code))
 )
order by
 lower(flv.meaning)</LOV_QUERY_DSP>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>Exception Type</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>14</SORT_ORDER>
    <DISPLAY_SEQUENCE>200</DISPLAY_SEQUENCE>
    <ANCHOR>1=1</ANCHOR>
    <SQL_TEXT>medv.due_date &gt;= :due_date_fr</SQL_TEXT>
    <PARAMETER_TYPE_DSP>Date</PARAMETER_TYPE_DSP>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>Due Date From</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>15</SORT_ORDER>
    <DISPLAY_SEQUENCE>210</DISPLAY_SEQUENCE>
    <ANCHOR>1=1</ANCHOR>
    <SQL_TEXT>medv.due_date &lt; :due_date_to + 1</SQL_TEXT>
    <PARAMETER_TYPE_DSP>Date</PARAMETER_TYPE_DSP>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>Due Date To</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>16</SORT_ORDER>
    <DISPLAY_SEQUENCE>220</DISPLAY_SEQUENCE>
    <ANCHOR>1=1</ANCHOR>
    <SQL_TEXT>medv.from_date &gt;= :from_date_fr</SQL_TEXT>
    <PARAMETER_TYPE_DSP>Date</PARAMETER_TYPE_DSP>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>From Date From</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>17</SORT_ORDER>
    <DISPLAY_SEQUENCE>230</DISPLAY_SEQUENCE>
    <ANCHOR>1=1</ANCHOR>
    <SQL_TEXT>medv.from_date &lt; :from_date_to + 1</SQL_TEXT>
    <PARAMETER_TYPE_DSP>Date</PARAMETER_TYPE_DSP>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>From Date To</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>18</SORT_ORDER>
    <DISPLAY_SEQUENCE>240</DISPLAY_SEQUENCE>
    <ANCHOR>1=1</ANCHOR>
    <SQL_TEXT>medv.to_date &gt;= :to_date_fr</SQL_TEXT>
    <PARAMETER_TYPE_DSP>Date</PARAMETER_TYPE_DSP>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>To Date From</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>19</SORT_ORDER>
    <DISPLAY_SEQUENCE>250</DISPLAY_SEQUENCE>
    <ANCHOR>1=1</ANCHOR>
    <SQL_TEXT>medv.to_date &lt; :to_date_to + 1</SQL_TEXT>
    <PARAMETER_TYPE_DSP>Date</PARAMETER_TYPE_DSP>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>To Date To</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>20</SORT_ORDER>
    <DISPLAY_SEQUENCE>260</DISPLAY_SEQUENCE>
    <ANCHOR>&amp;lp_item_dff_cols</ANCHOR>
    <SQL_TEXT>select 
xxen_msc.get_item_dff_lexicals(mai.instance_id,&apos;msi.sr_inventory_item_id&apos;,&apos;msi.organization_id&apos;)
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</SQL_TEXT>
    <PARAMETER_TYPE_DSP>LOV</PARAMETER_TYPE_DSP>
    <LOV_NAME>Yes</LOV_NAME>
    <LOV_GUID>8E2FF36EDEA679D2E0530100007F1FF2</LOV_GUID>
    <VALIDATE_FROM_LIST_DSP>Y</VALIDATE_FROM_LIST_DSP>
    <LOV_QUERY_DSP>select &apos;Y&apos; id, xxen_util.meaning(&apos;Y&apos;,&apos;YES_NO&apos;,0) value, null description from dual</LOV_QUERY_DSP>
    <DEFAULT_VALUE>Y</DEFAULT_VALUE>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>Show Item Descriptive Attributes</PARAMETER_NAME>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
  </PARAMETERS>
  <PARAMETER_DEPENDENCIES>
   <PARAMETER_DEPENDENCIES_ROW>
    <FLEX_BIND>:$flex$.category_set</FLEX_BIND>
    <PARAMETER_NAME>Category Set</PARAMETER_NAME>
    <DEPENDENT_PARAMETER_NAME>Category</DEPENDENT_PARAMETER_NAME>
   </PARAMETER_DEPENDENCIES_ROW>
   <PARAMETER_DEPENDENCIES_ROW>
    <FLEX_BIND>:$flex$.exception_group</FLEX_BIND>
    <PARAMETER_NAME>Exception Group</PARAMETER_NAME>
    <DEPENDENT_PARAMETER_NAME>Exception Type</DEPENDENT_PARAMETER_NAME>
   </PARAMETER_DEPENDENCIES_ROW>
   <PARAMETER_DEPENDENCIES_ROW>
    <FLEX_BIND>:$flex$.organization</FLEX_BIND>
    <PARAMETER_NAME>Organization</PARAMETER_NAME>
    <DEPENDENT_PARAMETER_NAME>Buyer</DEPENDENT_PARAMETER_NAME>
   </PARAMETER_DEPENDENCIES_ROW>
   <PARAMETER_DEPENDENCIES_ROW>
    <FLEX_BIND>:$flex$.organization</FLEX_BIND>
    <PARAMETER_NAME>Organization</PARAMETER_NAME>
    <DEPENDENT_PARAMETER_NAME>Planner</DEPENDENT_PARAMETER_NAME>
   </PARAMETER_DEPENDENCIES_ROW>
   <PARAMETER_DEPENDENCIES_ROW>
    <FLEX_BIND>:$flex$.plan</FLEX_BIND>
    <PARAMETER_NAME>Plan</PARAMETER_NAME>
    <DEPENDENT_PARAMETER_NAME>Buyer</DEPENDENT_PARAMETER_NAME>
   </PARAMETER_DEPENDENCIES_ROW>
   <PARAMETER_DEPENDENCIES_ROW>
    <FLEX_BIND>:$flex$.plan</FLEX_BIND>
    <PARAMETER_NAME>Plan</PARAMETER_NAME>
    <DEPENDENT_PARAMETER_NAME>Item</DEPENDENT_PARAMETER_NAME>
   </PARAMETER_DEPENDENCIES_ROW>
   <PARAMETER_DEPENDENCIES_ROW>
    <FLEX_BIND>:$flex$.plan</FLEX_BIND>
    <PARAMETER_NAME>Plan</PARAMETER_NAME>
    <DEPENDENT_PARAMETER_NAME>Organization</DEPENDENT_PARAMETER_NAME>
   </PARAMETER_DEPENDENCIES_ROW>
   <PARAMETER_DEPENDENCIES_ROW>
    <FLEX_BIND>:$flex$.plan</FLEX_BIND>
    <PARAMETER_NAME>Plan</PARAMETER_NAME>
    <DEPENDENT_PARAMETER_NAME>Planner</DEPENDENT_PARAMETER_NAME>
   </PARAMETER_DEPENDENCIES_ROW>
   <PARAMETER_DEPENDENCIES_ROW>
    <FLEX_BIND>:$flex$.planning_instance</FLEX_BIND>
    <PARAMETER_NAME>Planning Instance</PARAMETER_NAME>
    <DEPENDENT_PARAMETER_NAME>Buyer</DEPENDENT_PARAMETER_NAME>
   </PARAMETER_DEPENDENCIES_ROW>
   <PARAMETER_DEPENDENCIES_ROW>
    <FLEX_BIND>:$flex$.planning_instance</FLEX_BIND>
    <PARAMETER_NAME>Planning Instance</PARAMETER_NAME>
    <DEPENDENT_PARAMETER_NAME>Category</DEPENDENT_PARAMETER_NAME>
   </PARAMETER_DEPENDENCIES_ROW>
   <PARAMETER_DEPENDENCIES_ROW>
    <FLEX_BIND>:$flex$.planning_instance</FLEX_BIND>
    <PARAMETER_NAME>Planning Instance</PARAMETER_NAME>
    <DEPENDENT_PARAMETER_NAME>Category Set</DEPENDENT_PARAMETER_NAME>
   </PARAMETER_DEPENDENCIES_ROW>
   <PARAMETER_DEPENDENCIES_ROW>
    <FLEX_BIND>:$flex$.planning_instance</FLEX_BIND>
    <PARAMETER_NAME>Planning Instance</PARAMETER_NAME>
    <DEPENDENT_PARAMETER_NAME>Item</DEPENDENT_PARAMETER_NAME>
   </PARAMETER_DEPENDENCIES_ROW>
   <PARAMETER_DEPENDENCIES_ROW>
    <FLEX_BIND>:$flex$.planning_instance</FLEX_BIND>
    <PARAMETER_NAME>Planning Instance</PARAMETER_NAME>
    <DEPENDENT_PARAMETER_NAME>Organization</DEPENDENT_PARAMETER_NAME>
   </PARAMETER_DEPENDENCIES_ROW>
   <PARAMETER_DEPENDENCIES_ROW>
    <FLEX_BIND>:$flex$.planning_instance</FLEX_BIND>
    <PARAMETER_NAME>Planning Instance</PARAMETER_NAME>
    <DEPENDENT_PARAMETER_NAME>Plan</DEPENDENT_PARAMETER_NAME>
   </PARAMETER_DEPENDENCIES_ROW>
   <PARAMETER_DEPENDENCIES_ROW>
    <FLEX_BIND>:$flex$.planning_instance</FLEX_BIND>
    <PARAMETER_NAME>Planning Instance</PARAMETER_NAME>
    <DEPENDENT_PARAMETER_NAME>Planner</DEPENDENT_PARAMETER_NAME>
   </PARAMETER_DEPENDENCIES_ROW>
  </PARAMETER_DEPENDENCIES>
  <TEMPLATES>
   <TEMPLATES_ROW>
    <TEMPLATE_NAME>Dashboard</TEMPLATE_NAME>
    <DYNAMIC_COLUMNS>Y</DYNAMIC_COLUMNS>
    <OWNER>SYSADMIN</OWNER>
    <TEMPLATE_COLUMNS>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>10</DISPLAY_SEQUENCE>
      <COLUMN_NAME>ACTION_TAKEN</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>63</DISPLAY_SEQUENCE>
      <COLUMN_NAME>ACTUAL_ORDER_QTY</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>7</DISPLAY_SEQUENCE>
      <COLUMN_NAME>BUYER_NAME</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>15</DISPLAY_SEQUENCE>
      <COLUMN_NAME>CATEGORY1</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>16</DISPLAY_SEQUENCE>
      <COLUMN_NAME>CATEGORY2</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>14</DISPLAY_SEQUENCE>
      <COLUMN_NAME>CATEGORY_NAME</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>13</DISPLAY_SEQUENCE>
      <COLUMN_NAME>CATEGORY_SET_NAME</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>50</DISPLAY_SEQUENCE>
      <COLUMN_NAME>COMPRESSION_DAYS</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>52</DISPLAY_SEQUENCE>
      <COLUMN_NAME>COMPRESSION_PCT</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>37</DISPLAY_SEQUENCE>
      <COLUMN_NAME>COMP_DEMAND_DATE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>53</DISPLAY_SEQUENCE>
      <COLUMN_NAME>CONSTRAINT_PCT</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>28</DISPLAY_SEQUENCE>
      <COLUMN_NAME>CURRENT_DATE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>72</DISPLAY_SEQUENCE>
      <COLUMN_NAME>CUSTOMER_FCST_QTY</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>71</DISPLAY_SEQUENCE>
      <COLUMN_NAME>CUSTOMER_ITEM_NAME</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>69</DISPLAY_SEQUENCE>
      <COLUMN_NAME>CUSTOMER_NAME</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>73</DISPLAY_SEQUENCE>
      <COLUMN_NAME>CUSTOMER_ORDER_FCST_QTY</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>74</DISPLAY_SEQUENCE>
      <COLUMN_NAME>CUSTOMER_PO</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>80</DISPLAY_SEQUENCE>
      <COLUMN_NAME>CUSTOMER_PO_CANCEL_DATE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>78</DISPLAY_SEQUENCE>
      <COLUMN_NAME>CUSTOMER_PO_CREATION_DATE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>76</DISPLAY_SEQUENCE>
      <COLUMN_NAME>CUSTOMER_PO_LINE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>81</DISPLAY_SEQUENCE>
      <COLUMN_NAME>CUSTOMER_PO_NEED_BY_DATE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>77</DISPLAY_SEQUENCE>
      <COLUMN_NAME>CUSTOMER_PO_QUANTITY</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>82</DISPLAY_SEQUENCE>
      <COLUMN_NAME>CUSTOMER_PO_RECEIPT_DATE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>75</DISPLAY_SEQUENCE>
      <COLUMN_NAME>CUSTOMER_PO_RELEASE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>79</DISPLAY_SEQUENCE>
      <COLUMN_NAME>CUSTOMER_PO_UPDATED_DATE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>70</DISPLAY_SEQUENCE>
      <COLUMN_NAME>CUSTOMER_SITE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>126</DISPLAY_SEQUENCE>
      <COLUMN_NAME>Charge Description Master</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>-97.0104</DISPLAY_SEQUENCE>
      <COLUMN_NAME>Charge_Description_Master</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>51</DISPLAY_SEQUENCE>
      <COLUMN_NAME>DAYS_COMPRESSED</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>45</DISPLAY_SEQUENCE>
      <COLUMN_NAME>DAYS_EARLY</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>-39.0041</DISPLAY_SEQUENCE>
      <COLUMN_NAME>DAYS_EARLY_ARRIV</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>46</DISPLAY_SEQUENCE>
      <COLUMN_NAME>DAYS_EARLY_ARRIVAL</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>-39.004</DISPLAY_SEQUENCE>
      <COLUMN_NAME>DAYS_EARLY_B4_LADATE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>47</DISPLAY_SEQUENCE>
      <COLUMN_NAME>DAYS_EARLY_BEFORE_LADATE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>42</DISPLAY_SEQUENCE>
      <COLUMN_NAME>DAYS_LATE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>43</DISPLAY_SEQUENCE>
      <COLUMN_NAME>DAYS_LATE_ARRIVAL</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>44</DISPLAY_SEQUENCE>
      <COLUMN_NAME>DAYS_LATE_BEYOND_LADATE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>48</DISPLAY_SEQUENCE>
      <COLUMN_NAME>DAYS_PAST</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>49</DISPLAY_SEQUENCE>
      <COLUMN_NAME>DAYS_PAST_DUE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>68</DISPLAY_SEQUENCE>
      <COLUMN_NAME>DELIVERY_PERF_PCT</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>83</DISPLAY_SEQUENCE>
      <COLUMN_NAME>DEMAND_CLASS</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>86</DISPLAY_SEQUENCE>
      <COLUMN_NAME>DEMAND_DATE_QUANTITY</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>84</DISPLAY_SEQUENCE>
      <COLUMN_NAME>DEMAND_ORGANIZATION_CODE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>85</DISPLAY_SEQUENCE>
      <COLUMN_NAME>DEMAND_QUANTITY</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>27</DISPLAY_SEQUENCE>
      <COLUMN_NAME>DEMAND_SATISFIED_DATE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>26</DISPLAY_SEQUENCE>
      <COLUMN_NAME>DEMAND_SCHEDULED_DUE_DATE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>87</DISPLAY_SEQUENCE>
      <COLUMN_NAME>DEMAND_SCHEDULE_ITEM_NAME</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>88</DISPLAY_SEQUENCE>
      <COLUMN_NAME>DEMAND_SCHEDULE_ORDER_NUMBER</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>89</DISPLAY_SEQUENCE>
      <COLUMN_NAME>DEMAND_SCHEDULE_ORG_CODE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>90</DISPLAY_SEQUENCE>
      <COLUMN_NAME>DEMAND_SCHEDULE_QTY</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>115</DISPLAY_SEQUENCE>
      <COLUMN_NAME>DEPARTMENT_LINE_CODE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>92</DISPLAY_SEQUENCE>
      <COLUMN_NAME>DESTINATION_ORGANIZATION_CODE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>25</DISPLAY_SEQUENCE>
      <COLUMN_NAME>DUE_DATE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>17</DISPLAY_SEQUENCE>
      <COLUMN_NAME>END_ITEM</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>120</DISPLAY_SEQUENCE>
      <COLUMN_NAME>END_ITEM_COUNT</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>21</DISPLAY_SEQUENCE>
      <COLUMN_NAME>END_ORDER_NUMBER</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>8</DISPLAY_SEQUENCE>
      <COLUMN_NAME>EXCEPTION_GROUP</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>9</DISPLAY_SEQUENCE>
      <COLUMN_NAME>EXCEPTION_TYPE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>56</DISPLAY_SEQUENCE>
      <COLUMN_NAME>EXCESS_DURATION</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
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      <COLUMN_NAME>Graphical Link for Web Reqs</COLUMN_NAME>
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    <COLUMN_HEADER_ROW_NUM>1</COLUMN_HEADER_ROW_NUM>
    <TEMPLATE_SHARED_STRINGS>
     <TEMPLATE_SHARED_STRINGS_ROW>
      <STRING_ID>0</STRING_ID>
      <STRING>Plan Name</STRING>
     </TEMPLATE_SHARED_STRINGS_ROW>
     <TEMPLATE_SHARED_STRINGS_ROW>
      <STRING_ID>1</STRING_ID>
      <STRING>N/A</STRING>
     </TEMPLATE_SHARED_STRINGS_ROW>
     <TEMPLATE_SHARED_STRINGS_ROW>
      <STRING_ID>2</STRING_ID>
      <STRING>Organization Code</STRING>
     </TEMPLATE_SHARED_STRINGS_ROW>
     <TEMPLATE_SHARED_STRINGS_ROW>
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      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>D1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>E1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>F1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>G1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>H1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>I1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>J1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>K1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>L1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>M1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>N1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>O1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>P</CELL_IDENTIFIER>
      <STYLE_ID>5</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>P1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>Q1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>R1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>S1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>T1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>U1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>V</CELL_IDENTIFIER>
      <STYLE_ID>2</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>V1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>W</CELL_IDENTIFIER>
      <STYLE_ID>2</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>W1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>X1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>Y1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>data</SHEET_TYPE>
      <CELL_IDENTIFIER>Z1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>parameter</SHEET_TYPE>
      <CELL_IDENTIFIER>A1</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>parameter</SHEET_TYPE>
      <CELL_IDENTIFIER>A10</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>parameter</SHEET_TYPE>
      <CELL_IDENTIFIER>A11</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>parameter</SHEET_TYPE>
      <CELL_IDENTIFIER>A12</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>parameter</SHEET_TYPE>
      <CELL_IDENTIFIER>A13</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>parameter</SHEET_TYPE>
      <CELL_IDENTIFIER>A2</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>parameter</SHEET_TYPE>
      <CELL_IDENTIFIER>A3</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>parameter</SHEET_TYPE>
      <CELL_IDENTIFIER>A4</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>parameter</SHEET_TYPE>
      <CELL_IDENTIFIER>A5</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>parameter</SHEET_TYPE>
      <CELL_IDENTIFIER>A6</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>parameter</SHEET_TYPE>
      <CELL_IDENTIFIER>A7</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>parameter</SHEET_TYPE>
      <CELL_IDENTIFIER>A8</CELL_IDENTIFIER>
      <STYLE_ID>1</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>parameter</SHEET_TYPE>
      <CELL_IDENTIFIER>B1</CELL_IDENTIFIER>
      <STYLE_ID>6</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>parameter</SHEET_TYPE>
      <CELL_IDENTIFIER>B10</CELL_IDENTIFIER>
      <STYLE_ID>6</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>parameter</SHEET_TYPE>
      <CELL_IDENTIFIER>B11</CELL_IDENTIFIER>
      <STYLE_ID>6</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>parameter</SHEET_TYPE>
      <CELL_IDENTIFIER>B12</CELL_IDENTIFIER>
      <STYLE_ID>6</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>parameter</SHEET_TYPE>
      <CELL_IDENTIFIER>B13</CELL_IDENTIFIER>
      <STYLE_ID>6</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>parameter</SHEET_TYPE>
      <CELL_IDENTIFIER>B2</CELL_IDENTIFIER>
      <STYLE_ID>6</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>parameter</SHEET_TYPE>
      <CELL_IDENTIFIER>B3</CELL_IDENTIFIER>
      <STYLE_ID>3</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>parameter</SHEET_TYPE>
      <CELL_IDENTIFIER>B4</CELL_IDENTIFIER>
      <STYLE_ID>6</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>parameter</SHEET_TYPE>
      <CELL_IDENTIFIER>B5</CELL_IDENTIFIER>
      <STYLE_ID>6</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>parameter</SHEET_TYPE>
      <CELL_IDENTIFIER>B6</CELL_IDENTIFIER>
      <STYLE_ID>6</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>parameter</SHEET_TYPE>
      <CELL_IDENTIFIER>B7</CELL_IDENTIFIER>
      <STYLE_ID>6</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>parameter</SHEET_TYPE>
      <CELL_IDENTIFIER>B8</CELL_IDENTIFIER>
      <STYLE_ID>6</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
    </TEMPLATE_STYLES>
    <TEMPLATE_SHARING>
     <TEMPLATE_SHARING_ROW>
      <SHARING_LEVEL>S</SHARING_LEVEL>
      <LEVEL_VALUE>Site</LEVEL_VALUE>
     </TEMPLATE_SHARING_ROW>
    </TEMPLATE_SHARING>
    <PARAMETER_EXCLUSION>
    </PARAMETER_EXCLUSION>
   </TEMPLATES_ROW>
  </TEMPLATES>
  <DEFAULT_TEMPLATES>
   <DEFAULT_TEMPLATES_ROW>
    <TEMPLATE_NAME>Dashboard</TEMPLATE_NAME>
   </DEFAULT_TEMPLATES_ROW>
  </DEFAULT_TEMPLATES>
  <UPLOAD_COLUMNS>
  </UPLOAD_COLUMNS>
  <UPLOAD_PARAMETERS>
  </UPLOAD_PARAMETERS>
  <UPLOAD_SQLS>
  </UPLOAD_SQLS>
  <UPLOAD_DEPENDENCIES>
  </UPLOAD_DEPENDENCIES>
 </REPORTS_ROW>
</REPORTS>
</ROOT>
