<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: INV Cycle Count Name -->
 <LOVS_ROW>
  <GUID>CE2B47CC27D19E6DE05362FB0905DA52</GUID>
  <LOV_NAME>INV Cycle Count Name</LOV_NAME>
  <VALIDATE_FROM_LIST>Y</VALIDATE_FROM_LIST>
  <LOV_QUERY>select
mcch.cycle_count_header_name value,
mcch.description||&apos; (&apos;||mp.organization_code||&apos;)&apos; description
from
mtl_cycle_count_headers mcch,
mtl_parameters mp
where
mcch.organization_id=mp.organization_id and
(:$flex$.organization_code is null or xxen_util.contains(:$flex$.organization_code,mp.organization_code)=&apos;Y&apos;) and
nvl(mcch.disable_date,sysdate+1)&gt;sysdate
order by
value,description</LOV_QUERY>
  <LOV_TRANSLATIONS>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>US</LANGUAGE>
   </LOV_TRANSLATIONS_ROW>
  </LOV_TRANSLATIONS>
 </LOVS_ROW>
<!-- loader xml for Enginatics Blitz Report lov: INV Organization Code -->
 <LOVS_ROW>
  <GUID>8E2FF36EDEB279D2E0530100007F1FF2</GUID>
  <LOV_NAME>INV Organization Code</LOV_NAME>
  <VALIDATE_FROM_LIST>Y</VALIDATE_FROM_LIST>
  <LOV_QUERY>select
ood.organization_code value,
ood.organization_name||&apos; (&apos;||ftv.territory_short_name||&apos;, &apos;||hla.town_or_city||decode(mp.organization_id,mp.master_organization_id,null,&apos;, &apos;||mp0.organization_code)||&apos;)&apos; description
from
org_organization_definitions ood,
mtl_parameters mp,
mtl_parameters mp0,
hr_all_organization_units haou,
hr_locations_all hla,
fnd_territories_vl ftv
where
ood.organization_id=mp.organization_id and
mp.organization_id&lt;&gt;mp.master_organization_id and
(
ood.organization_id in (select oav.organization_id from org_access_view oav where oav.resp_application_id=fnd_global.resp_appl_id and oav.responsibility_id=fnd_global.resp_id) or
not exists (select null from org_access_view oav where oav.resp_application_id=fnd_global.resp_appl_id and oav.responsibility_id=fnd_global.resp_id) and
ood.operating_unit in (select mgoat.organization_id from mo_glob_org_access_tmp mgoat union select fnd_global.org_id from dual where fnd_release.major_version=11)
) and
(:$flex$.operating_unit is null or ood.operating_unit in (select haouv.organization_id from hr_all_organization_units_vl haouv where xxen_util.contains(:$flex$.operating_unit,haouv.name)=&apos;Y&apos;)) and
(:$flex$.ledger is null or ood.set_of_books_id in (select gl.ledger_id from gl_ledgers gl where xxen_util.contains(:$flex$.ledger,gl.name)=&apos;Y&apos;)) and
nvl(ood.disable_date,sysdate)&gt;=sysdate and
mp.master_organization_id=mp0.organization_id and
ood.organization_id=haou.organization_id(+) and
haou.location_id=hla.location_id(+) and
hla.country=ftv.territory_code(+)
order by
ood.organization_code</LOV_QUERY>
  <LOV_TRANSLATIONS>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>AR</LANGUAGE>
    <DESCRIPTION>جميع أكواد تنظيم المخزون النشط باستثناء المؤسسات الرئيسية ، مقيدة بعرض الوصول إلى مؤسسة المستخدم الحالي</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>D</LANGUAGE>
    <DESCRIPTION>Alle aktiven Inventar-Organisationscodes mit Ausnahme von Master-Organisationen, beschränkt auf die Org-Zugriffsansicht des aktuellen Benutzers</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>E</LANGUAGE>
    <DESCRIPTION>Todos los códigos de organización de inventario activos, excluyendo las organizaciones maestras, restringidos a la vista de acceso a la organización del usuario actual</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>F</LANGUAGE>
    <DESCRIPTION>Tous les codes d&apos;organisation de l&apos;inventaire actif, à l&apos;exclusion des organisations maîtresses, limités à la vue d&apos;accès à l&apos;organisation de l&apos;utilisateur actuel</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>I</LANGUAGE>
    <DESCRIPTION>Tutti i codici di organizzazione dell&apos;inventario attivi, escluse le organizzazioni master, limitati alla vista di accesso all&apos;org dell&apos;utente corrente</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>JA</LANGUAGE>
    <DESCRIPTION>すべてのアクティブなインベントリの組織コードは、マスター組織を除いて、現在のユーザーの組織のアクセスビューに制限されます。</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>KO</LANGUAGE>
    <DESCRIPTION>현재 사용자의 조직 액세스보기로 제한되는 마스터 조직을 제외한 모든 활성 재고 조직 코드</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>PTB</LANGUAGE>
    <DESCRIPTION>Todos os códigos ativos de organização de inventário, excluindo organizações mestre, restritos à visão de acesso org do usuário atual</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>RU</LANGUAGE>
    <DESCRIPTION>Все активные инвентаризационные организационные коды, исключая основные организации, ограниченные текущим представлением доступа пользователя к оргструктуре.</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>S</LANGUAGE>
    <DESCRIPTION>Alla aktiva lagerorganisationskoder exklusive huvudorganisationer, begränsade till den aktuella användarens organisationsåtkomstvy</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>TR</LANGUAGE>
    <DESCRIPTION>Ana organizasyonlar hariç tüm aktif envanter organizasyon kodları, mevcut kullanıcının organizasyon erişim görünümü ile sınırlıdır</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>US</LANGUAGE>
    <DESCRIPTION>All active inventory organization codes excluding master organizations, restricted to the current user&apos;s org access view</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
   <LOV_TRANSLATIONS_ROW>
    <LANGUAGE>ZHS</LANGUAGE>
    <DESCRIPTION>所有活动的清单组织代码，不包括主组织，仅限于当前用户的组织访问视图。</DESCRIPTION>
   </LOV_TRANSLATIONS_ROW>
  </LOV_TRANSLATIONS>
 </LOVS_ROW>
<!-- loader xml for Enginatics Blitz Report lov: INV Subinventory -->
 <LOVS_ROW>
  <GUID>8E2FF36EDF2A79D2E0530100007F1FF2</GUID>
  <LOV_NAME>INV Subinventory</LOV_NAME>
  <VALIDATE_FROM_LIST>Y</VALIDATE_FROM_LIST>
  <LOV_QUERY>select
msi.secondary_inventory_name value,
msi.description||&apos; (&apos;||mp.organization_code||&apos;)&apos; description
from
mtl_parameters mp,
mtl_secondary_inventories msi
where
(
:$flex$.organization_code is null and (
fnd_profile.value(&apos;MFG_ORGANIZATION_ID&apos;) is null and msi.organization_id in (select oav.organization_id from org_access_view oav where oav.resp_application_id=fnd_global.resp_appl_id and oav.responsibility_id=fnd_global.resp_id) or
msi.organization_id=fnd_profile.value(&apos;MFG_ORGANIZATION_ID&apos;)
) or
xxen_util.contains(:$flex$.organization_code,mp.organization_code)=&apos;Y&apos; or
xxen_util.contains(:$flex$.organization_code,mp.organization_id)=&apos;Y&apos;
) and
mp.organization_id=msi.organization_id
order by
mp.organization_code,
msi.secondary_inventory_name</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: INV Cycle count entries and adjustments -->
 <REPORTS_ROW>
  <GUID>C6E085D46FFD51A9E05362FB09050512</GUID><ENABLED>Y</ENABLED>
  <SQL_TEXT>select
mcce.organization_code,
mcce.organization_name,
mcce.currency_code,
mcce.cycle_count_header_name cycle_count_name,
mcce.subinventory subinventory,
mcce.item_number,
mcce.item_description,
mcce.user_item_type,
nvl(inv_project.get_locator(milk.inventory_location_id,milk.organization_id),milk.concatenated_segments) locator,
milk.description locator_description,
mcce.revision revision,
mac.abc_class_name abc_class_name,
mcce.current_date count_date,
xxen_util.meaning(mcce.count_type_code,&apos;MTL_CC_COUNT_TYPES&apos;,700) count_type,
xxen_util.meaning(case when mcce.entry_status_code=5 then &apos;Y&apos; else &apos;Y&apos; end,&apos;YES_NO&apos;,0) approved_flag,
mcce.count_quantity_first quantity,
mcce.uom,
mcce.pos_adjustment_quantity adjustments_quantity,
mcce.pos_adjustment_amount adjustments_amount,
mcce.number_of_counts,
mcce.cost_group,
mcce.outermost_license_plate_number,
mcce.parent_license_plate_number,
mcce.number_of_counts-mcce.completed_counter other_count,
mcce.pos_adj+abs(mcce.neg_adj) gross_adjustment_value,
mcce.pos_adj-abs(mcce.neg_adj) net_adjustment_value,
mcce.item_inv_value_current item_inventory_value,
case when mcce.pos_adj+abs(mcce.neg_adj)=0 and mcce.item_inv_value_current=0 then 100
else case when mcce.item_inv_value_current=0 then 0 else case when abs(mcce.pos_adj+abs(mcce.neg_adj))&gt;abs(mcce.item_inv_value_current) then 0.00 else 100-(abs(mcce.pos_adj+abs(mcce.neg_adj))/abs(mcce.item_inv_value_current))*100 end  end
end gross_accuracy_percentage,
case when mcce.item_inv_value_current=0 and mcce.pos_adj-abs(mcce.neg_adj)=0 then 100.00
else case when mcce.item_inv_value_current=0 then 0 else case when abs(mcce.pos_adj-abs(mcce.neg_adj))&gt;abs(mcce.item_inv_value_current) then 0.00 else round(100-(abs(mcce.pos_adj-abs(mcce.neg_adj))/abs(mcce.item_inv_value_current))*100,2) end end
end net_accuracy_percentage,
mcce.pos_adj positive_adjustment_values,
mcce.neg_adj negtaive_adjustment_values,
mcce.serials,
mcce.lot_number lot_number
from
mtl_item_locations_kfv milk,
mtl_cycle_count_items mcci,
mtl_abc_classes mac,
(
select distinct
mcce.organization_id,
ood.organization_name,
ood.organization_code,
gl.currency_code,
mcch.cycle_count_header_name,
mcce.inventory_item_id,
mcce.cycle_count_header_id,
mcce.count_type_code,
mcce.locator_id,
mcce.subinventory,
mcce.item_number,
mcce.item_description,
mcce.user_item_type,
mcce.revision,
mcce.lot_number,
mcce.current_date,
mcce.entry_status_code,
mcce.completed_counter,
mcce.count_quantity_first_ count_quantity_first,
mcce.uom,
mcce.number_of_counts number_of_counts,
mcce.adjustment_quantity pos_adjustment_quantity,
mcce.adjustment_amount pos_adjustment_amount,
mcce.neg_adjustment_quantity,
mcce.neg_adjustment_amount,
case when(mcce.entry_status_code=5) and (mcce.count_type_code&lt;&gt;4) then 
round(nvl(mcce.system_quantity_current,0)*nvl(mcce.conversion_rate,1)*mcce.item_unit_cost_,fc.precision)
else 0
end item_inv_value_current,
case
when case when (mcce.entry_status_code=5 or :p_approved=&apos;N&apos;) and mcce.count_type_code&lt;&gt;4 then round(mcce.adjustment_quantity_current*nvl(mcce.conversion_rate,1)*mcce.item_unit_cost_, fc.precision) end&lt;0 then
abs(
case when (mcce.entry_status_code=5 or :p_approved=&apos;N&apos;) and mcce.count_type_code&lt;&gt;4 then round(mcce.adjustment_quantity_current*nvl(mcce.conversion_rate,1)*mcce.item_unit_cost_,fc.precision) else 0 end
)+nvl(mcce.neg_adjustment_amount,0)
else 0
end neg_adj,
case when case when (mcce.entry_status_code=5 or :p_approved=&apos;N&apos;) and mcce.count_type_code&lt;&gt;4 then round(mcce.adjustment_quantity_current*nvl(mcce.conversion_rate,1)*mcce.item_unit_cost_,fc.precision) end&gt;0 then
case when (mcce.entry_status_code=5 or :p_approved=&apos;N&apos;) and mcce.count_type_code&lt;&gt;4 then
round(mcce.adjustment_quantity_current*nvl(mcce.conversion_rate,1)*mcce.item_unit_cost_,fc.precision) else 0 end
else 0
end pos_adj,
case when (mcce.entry_status_code=5 or :p_approved=&apos;N&apos;) and mcce.count_type_code&lt;&gt;4 then round(mcce.adjustment_quantity_current*nvl(mcce.conversion_rate,1)*mcce.item_unit_cost_,fc.precision) else 0 end adjustment_amount,
wlpn1.license_plate_number outermost_license_plate_number,
wlpn2.license_plate_number parent_license_plate_number,
fc.precision std_precision,
ccg.cost_group,
(select distinct listagg(mcsn.serial_number,&apos;, &apos;) within group (order by mcsn.cycle_count_entry_id) from mtl_cc_serial_numbers mcsn where mcce.cycle_count_entry_id=mcsn.cycle_count_entry_id) serials
from
org_organization_definitions ood,
gl_ledgers gl,
fnd_currencies fc,
(
select
msiv.concatenated_segments item_number,
msiv.description item_description,
xxen_util.meaning(msiv.item_type,&apos;ITEM_TYPE&apos;,3) user_item_type,
msiv.primary_uom_code uom,
(select mucv.conversion_rate from mtl_uom_conversions_view mucv where mcce.inventory_item_id=mucv.inventory_item_id and mcce.organization_id=mucv.organization_id and msiv.primary_uom_code=mucv.primary_uom_code and mcce.count_uom_current=mucv.uom_code) conversion_rate,
decode(mcce.count_type_code,4,0, decode(mcce.entry_status_code,5,1,0) ) completed_counter,
nvl(mcce.item_unit_cost,0) item_unit_cost_,
round(nvl(mcce.count_quantity_first,0),:p_qty_precision) count_quantity_first_,
round(nvl(mcce.adjustment_quantity,0),:p_qty_precision) adjustment_quantity_current,
decode(mcce.entry_status_code,5,mcce.approval_date,mcce.count_date_current) current_date,
xxen_util.meaning(case when mcce.serial_detail&gt;0 then &apos;Y&apos; else &apos;Y&apos; end,&apos;YES_NO&apos;,0) serialized_item_included,
mcce.*
from
mtl_system_items_vl msiv,
mtl_cycle_count_entries mcce
where
mcce.organization_id=msiv.organization_id and
mcce.inventory_item_id=msiv.inventory_item_id
) mcce,
cst_cost_groups ccg,
mtl_cycle_count_headers mcch,
wms_license_plate_numbers wlpn1,
wms_license_plate_numbers wlpn2
where
1=1 and
mcce.organization_id in (select oav.organization_id from org_access_view oav where oav.resp_application_id=fnd_global.resp_appl_id and oav.responsibility_id=fnd_global.resp_id) and
ood.set_of_books_id=gl.ledger_id and
gl.currency_code=fc.currency_code and
ood.organization_id=mcce.organization_id and
mcce.entry_status_code&lt;&gt;1 and
mcch.cycle_count_header_id=mcce.cycle_count_header_id and
nvl(mcch.disable_date,sysdate+1)&gt;sysdate and
mcce.entry_status_code=decode(:p_approved,&apos;Y&apos;,5,mcce.entry_status_code) and
mcce.cost_group_id=ccg.cost_group_id(+) and
mcce.outermost_lpn_id=wlpn1.lpn_id(+) and
mcce.parent_lpn_id=wlpn2.lpn_id(+)
) mcce
where
mcce.locator_id=milk.inventory_location_id(+) and
mcce.organization_id=milk.organization_id(+) and
mcci.cycle_count_header_id=mcce.cycle_count_header_id and
mcci.inventory_item_id=mcce.inventory_item_id and
mcci.abc_class_id=mac.abc_class_id 
order by
mcce.subinventory,
item_number,
count_date desc</SQL_TEXT>
  <XDO_APPLICATION_SHORT_NAME>INV</XDO_APPLICATION_SHORT_NAME>
  <REPORT_TRANSLATIONS>
   <REPORT_TRANSLATIONS_ROW>
    <LANGUAGE>AR</LANGUAGE>
    <REPORT_NAME>INV تقرير قيود وتعديلات العد الدوري (بتنسيق XML)</REPORT_NAME>
    <DESCRIPTION>Imported from BI Publisher
Description: تقرير قيود والتعديلات العد الدوري
Application: المخازن
Source: تقرير قيود وتعديلات العد الدوري (بتنسيق XML)
Short Name: INVARCTA_XML
DB package: INV_INVARCTA_XMLP_PKG</DESCRIPTION>
   </REPORT_TRANSLATIONS_ROW>
   <REPORT_TRANSLATIONS_ROW>
    <LANGUAGE>D</LANGUAGE>
    <REPORT_NAME>INV Permanente Inventur - Aufnahmen und Korrekturen</REPORT_NAME>
    <DESCRIPTION>Imported from BI Publisher
Description: Permanente Inventur - Aufnahmen und Korrekturen
Application: Lager
Source: Permanente Inventur - Aufnahmen und Korrekturen (XML)
Short Name: INVARCTA_XML
DB package: INV_INVARCTA_XMLP_PKG</DESCRIPTION>
   </REPORT_TRANSLATIONS_ROW>
   <REPORT_TRANSLATIONS_ROW>
    <LANGUAGE>E</LANGUAGE>
    <REPORT_NAME>INV Registros y Ajustes de Recuentos Cíclicos</REPORT_NAME>
    <DESCRIPTION>Imported from BI Publisher
Description: Registros y Ajustes de Recuentos Cíclicos
Application: Inventory
Source: Registros y Ajustes de Recuentos Cíclicos (XML)
Short Name: INVARCTA_XML
DB package: INV_INVARCTA_XMLP_PKG</DESCRIPTION>
   </REPORT_TRANSLATIONS_ROW>
   <REPORT_TRANSLATIONS_ROW>
    <LANGUAGE>F</LANGUAGE>
    <REPORT_NAME>INV Etat des occurrences d&apos;inventaire tournant et des ajustements</REPORT_NAME>
    <DESCRIPTION>Imported from BI Publisher
Description: Etat des occurrences d&apos;inventaire tournant et des ajustements 
Application: Inventory
Source: Etat des occurrences d&apos;inventaire tournant et des ajustements (XML)
Short Name: INVARCTA_XML
DB package: INV_INVARCTA_XMLP_PKG</DESCRIPTION>
   </REPORT_TRANSLATIONS_ROW>
   <REPORT_TRANSLATIONS_ROW>
    <LANGUAGE>I</LANGUAGE>
    <REPORT_NAME>INV Rapporto Adeguamenti e voci inventario ciclico</REPORT_NAME>
    <DESCRIPTION>Imported from BI Publisher
Description: Rapporto Adeguamenti e dati inventario ciclico
Application: Inventory
Source: Rapporto Adeguamenti e voci inventario ciclico (XML)
Short Name: INVARCTA_XML
DB package: INV_INVARCTA_XMLP_PKG</DESCRIPTION>
   </REPORT_TRANSLATIONS_ROW>
   <REPORT_TRANSLATIONS_ROW>
    <LANGUAGE>JA</LANGUAGE>
    <REPORT_NAME>INV 循環棚卸入力および調整レポート</REPORT_NAME>
    <DESCRIPTION>Imported from BI Publisher
Description: 循環棚卸入力および調整レポート
Application: Inventory
Source: 循環棚卸入力および調整レポート(XML)
Short Name: INVARCTA_XML
DB package: INV_INVARCTA_XMLP_PKG</DESCRIPTION>
   </REPORT_TRANSLATIONS_ROW>
   <REPORT_TRANSLATIONS_ROW>
    <LANGUAGE>KO</LANGUAGE>
    <REPORT_NAME>INV 주기 실사 입력 및 조정 보고서</REPORT_NAME>
    <DESCRIPTION>Imported from BI Publisher
Description: 주기실사 입력사항 및 조정 보고서
Application: Inventory
Source: 주기 실사 입력 및 조정 보고서(XML)
Short Name: INVARCTA_XML
DB package: INV_INVARCTA_XMLP_PKG</DESCRIPTION>
   </REPORT_TRANSLATIONS_ROW>
   <REPORT_TRANSLATIONS_ROW>
    <LANGUAGE>PTB</LANGUAGE>
    <REPORT_NAME>INV Relatório de entradas de contagem cíclica e de ajustes</REPORT_NAME>
    <DESCRIPTION>Imported from BI Publisher
Description: Entradas de contagem cíclica e relatório de ajustes
Application: Inventário
Source: Relatório de entradas de contagem cíclica e de ajustes (XML)
Short Name: INVARCTA_XML
DB package: INV_INVARCTA_XMLP_PKG</DESCRIPTION>
   </REPORT_TRANSLATIONS_ROW>
   <REPORT_TRANSLATIONS_ROW>
    <LANGUAGE>RU</LANGUAGE>
    <REPORT_NAME>INV Отчет о записях и корректировках периодической инвентаризации</REPORT_NAME>
    <DESCRIPTION>Imported from BI Publisher
Description: Отчет о записях и корректировках периодической инвентаризации
Application: Запасы
Source: Отчет о записях и корректировках периодической инвентаризации (XML)
Short Name: INVARCTA_XML
DB package: INV_INVARCTA_XMLP_PKG</DESCRIPTION>
   </REPORT_TRANSLATIONS_ROW>
   <REPORT_TRANSLATIONS_ROW>
    <LANGUAGE>S</LANGUAGE>
    <REPORT_NAME>INV Cyklisk inventering: Poster och justering - rapport</REPORT_NAME>
    <DESCRIPTION>Imported from BI Publisher
Description: Cyklisk inventering: Poster och justering - rapport
Application: Inventory
Source: Cyklisk inventering: Poster och justering - rapport (XML)
Short Name: INVARCTA_XML
DB package: INV_INVARCTA_XMLP_PKG</DESCRIPTION>
   </REPORT_TRANSLATIONS_ROW>
   <REPORT_TRANSLATIONS_ROW>
    <LANGUAGE>TR</LANGUAGE>
    <REPORT_NAME>INV Dönemsel sayım giriş ve düzeltmeler raporu</REPORT_NAME>
    <DESCRIPTION>Imported from BI Publisher
Description: Dönemsel sayım giriş ve düzeltmeler raporu
Application: Stok Yönetimi
Source: Dönemsel sayım giriş ve düzeltmeler raporu (XML)
Short Name: INVARCTA_XML
DB package: INV_INVARCTA_XMLP_PKG</DESCRIPTION>
   </REPORT_TRANSLATIONS_ROW>
   <REPORT_TRANSLATIONS_ROW>
    <LANGUAGE>US</LANGUAGE>
    <REPORT_NAME>INV Cycle count entries and adjustments</REPORT_NAME>
    <DESCRIPTION>Imported Oracle standard Cycle count entries and adjustments report
Source: Cycle count entries and adjustments report (XML)
Short Name: INVARCTA_XML
DB package: INV_INVARCTA_XMLP_PKG</DESCRIPTION>
   </REPORT_TRANSLATIONS_ROW>
   <REPORT_TRANSLATIONS_ROW>
    <LANGUAGE>ZHS</LANGUAGE>
    <REPORT_NAME>INV 周期盘点录入和调整报表</REPORT_NAME>
    <DESCRIPTION>Imported from BI Publisher
Description: 周期盘点记录和调整报表
Application: 库存管理系统
Source: 周期盘点录入和调整报表 (XML)
Short Name: INVARCTA_XML
DB package: INV_INVARCTA_XMLP_PKG</DESCRIPTION>
   </REPORT_TRANSLATIONS_ROW>
  </REPORT_TRANSLATIONS>
  <CATEGORY_ASSIGNMENTS>
   <CATEGORY_ASSIGNMENTS_ROW>
    <CATEGORY>Enginatics</CATEGORY>
   </CATEGORY_ASSIGNMENTS_ROW>
  </CATEGORY_ASSIGNMENTS>
  <ANCHORS>
   <ANCHORS_ROW>
    <ANCHOR>1=1</ANCHOR>
   </ANCHORS_ROW>
   <ANCHORS_ROW>
    <ANCHOR>:p_approved</ANCHOR>
   </ANCHORS_ROW>
   <ANCHORS_ROW>
    <ANCHOR>:p_qty_precision</ANCHOR>
   </ANCHORS_ROW>
  </ANCHORS>
  <PARAMETERS>
   <PARAMETERS_ROW>
    <SORT_ORDER>1</SORT_ORDER>
    <DISPLAY_SEQUENCE>-10</DISPLAY_SEQUENCE>
    <ANCHOR>:p_qty_precision</ANCHOR>
    <PARAMETER_TYPE_DSP>LOV Oracle</PARAMETER_TYPE_DSP>
    <LOV_NAME>INV_SRS_PRECISION</LOV_NAME>
    <VALIDATE_FROM_LIST_DSP>Y</VALIDATE_FROM_LIST_DSP>
    <LOV_QUERY_DSP>select
lookup_code id,
lookup_code value,
meaning description
from
mfg_lookups
where lookup_type=&apos;INV_SRS_PRECISION&apos;
and enabled_flag=&apos;Y&apos;
order by lookup_code</LOV_QUERY_DSP>
    <DEFAULT_VALUE>fnd_profile.value(&apos;REPORT_QUANTITY_PRECISION&apos;)</DEFAULT_VALUE>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>AR</LANGUAGE>
      <PARAMETER_NAME>الدقة</PARAMETER_NAME>
      <DESCRIPTION>خيار الدقة الديناميكية</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>D</LANGUAGE>
      <PARAMETER_NAME>Nachkommastellen</PARAMETER_NAME>
      <DESCRIPTION>Option Nachkommastellen</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>E</LANGUAGE>
      <PARAMETER_NAME>Precisión</PARAMETER_NAME>
      <DESCRIPTION>Opción Precisión Dinámica</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>F</LANGUAGE>
      <PARAMETER_NAME>Précision</PARAMETER_NAME>
      <DESCRIPTION>Option précision dynamique</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>I</LANGUAGE>
      <PARAMETER_NAME>Precisione</PARAMETER_NAME>
      <DESCRIPTION>Opzione precisione dinamica</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>JA</LANGUAGE>
      <PARAMETER_NAME>精度</PARAMETER_NAME>
      <DESCRIPTION>動的演算精度オプション</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>KO</LANGUAGE>
      <PARAMETER_NAME>소수점 이하 자리수</PARAMETER_NAME>
      <DESCRIPTION>동적 소수점자리 옵션</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>PTB</LANGUAGE>
      <PARAMETER_NAME>Precisão</PARAMETER_NAME>
      <DESCRIPTION>Opção de Precisão Dinâmica</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>RU</LANGUAGE>
      <PARAMETER_NAME>Точность</PARAMETER_NAME>
      <DESCRIPTION>Динамическая точность</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>S</LANGUAGE>
      <PARAMETER_NAME>Precision</PARAMETER_NAME>
      <DESCRIPTION>Alternativ för dynamisk precision</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>TR</LANGUAGE>
      <PARAMETER_NAME>Duyarlılık</PARAMETER_NAME>
      <DESCRIPTION>Dinamik Duyarlılık Seçeneği</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>Precision</PARAMETER_NAME>
      <DESCRIPTION>Dynamic Precision Option</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>ZHS</LANGUAGE>
      <PARAMETER_NAME>精确度</PARAMETER_NAME>
      <DESCRIPTION>动态精确度选项</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>2</SORT_ORDER>
    <DISPLAY_SEQUENCE>10</DISPLAY_SEQUENCE>
    <ANCHOR>1=1</ANCHOR>
    <SQL_TEXT>ood.organization_code=:organization_code</SQL_TEXT>
    <PARAMETER_TYPE_DSP>LOV</PARAMETER_TYPE_DSP>
    <LOV_NAME>INV Organization Code</LOV_NAME>
    <LOV_GUID>8E2FF36EDEB279D2E0530100007F1FF2</LOV_GUID>
    <VALIDATE_FROM_LIST_DSP>Y</VALIDATE_FROM_LIST_DSP>
    <LOV_QUERY_DSP>select
ood.organization_code value,
ood.organization_name||&apos; (&apos;||ftv.territory_short_name||&apos;, &apos;||hla.town_or_city||decode(mp.organization_id,mp.master_organization_id,null,&apos;, &apos;||mp0.organization_code)||&apos;)&apos; description
from
org_organization_definitions ood,
mtl_parameters mp,
mtl_parameters mp0,
hr_all_organization_units haou,
hr_locations_all hla,
fnd_territories_vl ftv
where
ood.organization_id=mp.organization_id and
mp.organization_id&lt;&gt;mp.master_organization_id and
(
ood.organization_id in (select oav.organization_id from org_access_view oav where oav.resp_application_id=fnd_global.resp_appl_id and oav.responsibility_id=fnd_global.resp_id) or
not exists (select null from org_access_view oav where oav.resp_application_id=fnd_global.resp_appl_id and oav.responsibility_id=fnd_global.resp_id) and
ood.operating_unit in (select mgoat.organization_id from mo_glob_org_access_tmp mgoat union select fnd_global.org_id from dual where fnd_release.major_version=11)
) and
(:$flex$.operating_unit is null or ood.operating_unit in (select haouv.organization_id from hr_all_organization_units_vl haouv where xxen_util.contains(:$flex$.operating_unit,haouv.name)=&apos;Y&apos;)) and
(:$flex$.ledger is null or ood.set_of_books_id in (select gl.ledger_id from gl_ledgers gl where xxen_util.contains(:$flex$.ledger,gl.name)=&apos;Y&apos;)) and
nvl(ood.disable_date,sysdate)&gt;=sysdate and
mp.master_organization_id=mp0.organization_id and
ood.organization_id=haou.organization_id(+) and
haou.location_id=hla.location_id(+) and
hla.country=ftv.territory_code(+)
order by
ood.organization_code</LOV_QUERY_DSP>
    <DEFAULT_VALUE>select mp.organization_code from mtl_parameters mp where mp.organization_id=fnd_profile.value(&apos;MFG_ORGANIZATION_ID&apos;)</DEFAULT_VALUE>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>AR</LANGUAGE>
      <PARAMETER_NAME>التنظيم</PARAMETER_NAME>
      <DESCRIPTION>التنظيم</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>D</LANGUAGE>
      <PARAMETER_NAME>Organisation</PARAMETER_NAME>
      <DESCRIPTION>Organisation</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>E</LANGUAGE>
      <PARAMETER_NAME>Organización</PARAMETER_NAME>
      <DESCRIPTION>Organización</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>F</LANGUAGE>
      <PARAMETER_NAME>Code de l&apos;organisation</PARAMETER_NAME>
      <DESCRIPTION>Organisation</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>I</LANGUAGE>
      <PARAMETER_NAME>Organizzazione</PARAMETER_NAME>
      <DESCRIPTION>Organizzazione</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>JA</LANGUAGE>
      <PARAMETER_NAME>組織</PARAMETER_NAME>
      <DESCRIPTION>組織</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>KO</LANGUAGE>
      <PARAMETER_NAME>조직</PARAMETER_NAME>
      <DESCRIPTION>조직</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>PTB</LANGUAGE>
      <PARAMETER_NAME>Organização</PARAMETER_NAME>
      <DESCRIPTION>Organização</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>RU</LANGUAGE>
      <PARAMETER_NAME>Организация</PARAMETER_NAME>
      <DESCRIPTION>Организация</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>S</LANGUAGE>
      <PARAMETER_NAME>Organisation</PARAMETER_NAME>
      <DESCRIPTION>Organisation</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>TR</LANGUAGE>
      <PARAMETER_NAME>Organizasyon</PARAMETER_NAME>
      <DESCRIPTION>Organizasyon</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>Organization Code</PARAMETER_NAME>
      <DESCRIPTION>Organization Code</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>ZHS</LANGUAGE>
      <PARAMETER_NAME>组织</PARAMETER_NAME>
      <DESCRIPTION>组织</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>3</SORT_ORDER>
    <DISPLAY_SEQUENCE>20</DISPLAY_SEQUENCE>
    <ANCHOR>1=1</ANCHOR>
    <SQL_TEXT>mcch.cycle_count_header_name=:cycle_count_header_name</SQL_TEXT>
    <PARAMETER_TYPE_DSP>LOV</PARAMETER_TYPE_DSP>
    <LOV_NAME>INV Cycle Count Name</LOV_NAME>
    <LOV_GUID>CE2B47CC27D19E6DE05362FB0905DA52</LOV_GUID>
    <VALIDATE_FROM_LIST_DSP>Y</VALIDATE_FROM_LIST_DSP>
    <LOV_QUERY_DSP>select
mcch.cycle_count_header_name value,
mcch.description||&apos; (&apos;||mp.organization_code||&apos;)&apos; description
from
mtl_cycle_count_headers mcch,
mtl_parameters mp
where
mcch.organization_id=mp.organization_id and
(:$flex$.organization_code is null or xxen_util.contains(:$flex$.organization_code,mp.organization_code)=&apos;Y&apos;) and
nvl(mcch.disable_date,sysdate+1)&gt;sysdate
order by
value,description</LOV_QUERY_DSP>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>AR</LANGUAGE>
      <PARAMETER_NAME>اسم العد الدوري</PARAMETER_NAME>
      <DESCRIPTION>عنوان العد الدوري</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>D</LANGUAGE>
      <PARAMETER_NAME>Bezeichnung Permanente Inventur</PARAMETER_NAME>
      <DESCRIPTION>Kopfdaten - Permanente Inventur</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>E</LANGUAGE>
      <PARAMETER_NAME>Nombre de Recuento Cíclico</PARAMETER_NAME>
      <DESCRIPTION>Cabecera de Recuento Cíclico</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>F</LANGUAGE>
      <PARAMETER_NAME>Nom du compte de cycle</PARAMETER_NAME>
      <DESCRIPTION>En-tête inventaire tournant</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>I</LANGUAGE>
      <PARAMETER_NAME>Nome inventario ciclico</PARAMETER_NAME>
      <DESCRIPTION>Intestazione inventario ciclico</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>JA</LANGUAGE>
      <PARAMETER_NAME>循環棚卸名</PARAMETER_NAME>
      <DESCRIPTION>循環棚卸ヘッダー</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>KO</LANGUAGE>
      <PARAMETER_NAME>주기 실사명</PARAMETER_NAME>
      <DESCRIPTION>주기실사 헤더</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>PTB</LANGUAGE>
      <PARAMETER_NAME>Nome da Contagem Cíclica</PARAMETER_NAME>
      <DESCRIPTION>Cabeçalho Contagem Cíclica</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>RU</LANGUAGE>
      <PARAMETER_NAME>Имя периодической инвентаризации</PARAMETER_NAME>
      <DESCRIPTION>Заголовок периодической инвентаризации</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>S</LANGUAGE>
      <PARAMETER_NAME>Cyklisk inventering - namn</PARAMETER_NAME>
      <DESCRIPTION>Cyklisk inventering - huvud</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>TR</LANGUAGE>
      <PARAMETER_NAME>Dönemsel Sayım Adı</PARAMETER_NAME>
      <DESCRIPTION>Dönemsel Sayım Başlığı</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>Cycle Count Name</PARAMETER_NAME>
      <DESCRIPTION>Cycle Count Header</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>ZHS</LANGUAGE>
      <PARAMETER_NAME>周期盘点名</PARAMETER_NAME>
      <DESCRIPTION>周期盘点题头</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>4</SORT_ORDER>
    <DISPLAY_SEQUENCE>30</DISPLAY_SEQUENCE>
    <ANCHOR>1=1</ANCHOR>
    <SQL_TEXT>mcce.subinventory=:p_subinventory</SQL_TEXT>
    <PARAMETER_TYPE_DSP>LOV</PARAMETER_TYPE_DSP>
    <LOV_NAME>INV Subinventory</LOV_NAME>
    <LOV_GUID>8E2FF36EDF2A79D2E0530100007F1FF2</LOV_GUID>
    <VALIDATE_FROM_LIST_DSP>Y</VALIDATE_FROM_LIST_DSP>
    <LOV_QUERY_DSP>select
msi.secondary_inventory_name value,
msi.description||&apos; (&apos;||mp.organization_code||&apos;)&apos; description
from
mtl_parameters mp,
mtl_secondary_inventories msi
where
(
:$flex$.organization_code is null and (
fnd_profile.value(&apos;MFG_ORGANIZATION_ID&apos;) is null and msi.organization_id in (select oav.organization_id from org_access_view oav where oav.resp_application_id=fnd_global.resp_appl_id and oav.responsibility_id=fnd_global.resp_id) or
msi.organization_id=fnd_profile.value(&apos;MFG_ORGANIZATION_ID&apos;)
) or
xxen_util.contains(:$flex$.organization_code,mp.organization_code)=&apos;Y&apos; or
xxen_util.contains(:$flex$.organization_code,mp.organization_id)=&apos;Y&apos;
) and
mp.organization_id=msi.organization_id
order by
mp.organization_code,
msi.secondary_inventory_name</LOV_QUERY_DSP>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>AR</LANGUAGE>
      <PARAMETER_NAME>المخزن</PARAMETER_NAME>
      <DESCRIPTION>المخزن</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>D</LANGUAGE>
      <PARAMETER_NAME>Lager</PARAMETER_NAME>
      <DESCRIPTION>Lager</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>E</LANGUAGE>
      <PARAMETER_NAME>Subalmacén</PARAMETER_NAME>
      <DESCRIPTION>Subalmacén</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>F</LANGUAGE>
      <PARAMETER_NAME>Sous-inventaire</PARAMETER_NAME>
      <DESCRIPTION>Magasin</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>I</LANGUAGE>
      <PARAMETER_NAME>Sottomagazzino</PARAMETER_NAME>
      <DESCRIPTION>Sottomagazzino</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>JA</LANGUAGE>
      <PARAMETER_NAME>保管場所</PARAMETER_NAME>
      <DESCRIPTION>保管場所</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>KO</LANGUAGE>
      <PARAMETER_NAME>창고</PARAMETER_NAME>
      <DESCRIPTION>창고</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>PTB</LANGUAGE>
      <PARAMETER_NAME>Subinventário</PARAMETER_NAME>
      <DESCRIPTION>Subinventário</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>RU</LANGUAGE>
      <PARAMETER_NAME>Складское подразделение</PARAMETER_NAME>
      <DESCRIPTION>Складское подразделение</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>S</LANGUAGE>
      <PARAMETER_NAME>Lagerställe</PARAMETER_NAME>
      <DESCRIPTION>Lagerställe</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>TR</LANGUAGE>
      <PARAMETER_NAME>Stok Yeri</PARAMETER_NAME>
      <DESCRIPTION>Stok Yeri</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>Subinventory</PARAMETER_NAME>
      <DESCRIPTION>Subinventory</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>ZHS</LANGUAGE>
      <PARAMETER_NAME>子库存</PARAMETER_NAME>
      <DESCRIPTION>子库存</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>5</SORT_ORDER>
    <DISPLAY_SEQUENCE>40</DISPLAY_SEQUENCE>
    <ANCHOR>1=1</ANCHOR>
    <SQL_TEXT>(
decode(mcce.entry_status_code,5,mcce.approval_date,mcce.count_date_current)&gt;=:p_from_date or
decode(mcce.entry_status_code,5,mcce.approval_date,mcce.count_date_first)&gt;=:p_from_date or
decode(mcce.entry_status_code,5,mcce.approval_date,mcce.count_date_prior)&gt;=:p_from_date
)</SQL_TEXT>
    <PARAMETER_TYPE_DSP>Date</PARAMETER_TYPE_DSP>
    <DEFAULT_VALUE>sysdate</DEFAULT_VALUE>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>AR</LANGUAGE>
      <PARAMETER_NAME>تاريخ البداية</PARAMETER_NAME>
      <DESCRIPTION>تاريخ البداية</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>D</LANGUAGE>
      <PARAMETER_NAME>Startdatum</PARAMETER_NAME>
      <DESCRIPTION>Startdatum</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>E</LANGUAGE>
      <PARAMETER_NAME>Fecha de Inicio</PARAMETER_NAME>
      <DESCRIPTION>Fecha de Inicio</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>F</LANGUAGE>
      <PARAMETER_NAME>Date de début</PARAMETER_NAME>
      <DESCRIPTION>Date de début</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>I</LANGUAGE>
      <PARAMETER_NAME>Data avvio</PARAMETER_NAME>
      <DESCRIPTION>Data avvio</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>JA</LANGUAGE>
      <PARAMETER_NAME>開始日</PARAMETER_NAME>
      <DESCRIPTION>開始日</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>KO</LANGUAGE>
      <PARAMETER_NAME>시작 일자</PARAMETER_NAME>
      <DESCRIPTION>시작 일자</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>PTB</LANGUAGE>
      <PARAMETER_NAME>Data Inicial</PARAMETER_NAME>
      <DESCRIPTION>Data Inicial</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>RU</LANGUAGE>
      <PARAMETER_NAME>Начальная дата</PARAMETER_NAME>
      <DESCRIPTION>Начальная дата</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>S</LANGUAGE>
      <PARAMETER_NAME>Startdatum</PARAMETER_NAME>
      <DESCRIPTION>Startdatum</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>TR</LANGUAGE>
      <PARAMETER_NAME>Başlangıç Tarihi</PARAMETER_NAME>
      <DESCRIPTION>Başlangıç Tarihi</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>Count Date From</PARAMETER_NAME>
      <DESCRIPTION>Start Date</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>ZHS</LANGUAGE>
      <PARAMETER_NAME>起始日期</PARAMETER_NAME>
      <DESCRIPTION>起始日期</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>6</SORT_ORDER>
    <DISPLAY_SEQUENCE>50</DISPLAY_SEQUENCE>
    <ANCHOR>1=1</ANCHOR>
    <SQL_TEXT>(
decode(mcce.entry_status_code,5,mcce.approval_date,mcce.count_date_current)&lt;:p_to_date+1 or
decode(mcce.entry_status_code,5,mcce.approval_date,mcce.count_date_first)&lt;:p_to_date+1 or
decode(mcce.entry_status_code,5,mcce.approval_date,mcce.count_date_prior)&lt;:p_to_date+1
)</SQL_TEXT>
    <PARAMETER_TYPE_DSP>Date</PARAMETER_TYPE_DSP>
    <DEFAULT_VALUE>last_day(:$flex$.start_date)</DEFAULT_VALUE>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>AR</LANGUAGE>
      <PARAMETER_NAME>تاريخ النهاية</PARAMETER_NAME>
      <DESCRIPTION>تاريخ النهاية</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>D</LANGUAGE>
      <PARAMETER_NAME>Enddatum</PARAMETER_NAME>
      <DESCRIPTION>Enddatum</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>E</LANGUAGE>
      <PARAMETER_NAME>Fecha de Finalización</PARAMETER_NAME>
      <DESCRIPTION>Fecha de Finalización</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>F</LANGUAGE>
      <PARAMETER_NAME>Date de fin</PARAMETER_NAME>
      <DESCRIPTION>Date de fin</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>I</LANGUAGE>
      <PARAMETER_NAME>Data fine</PARAMETER_NAME>
      <DESCRIPTION>Data fine</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>JA</LANGUAGE>
      <PARAMETER_NAME>終了日</PARAMETER_NAME>
      <DESCRIPTION>終了日</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>KO</LANGUAGE>
      <PARAMETER_NAME>종료 일자</PARAMETER_NAME>
      <DESCRIPTION>종료 일자</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>PTB</LANGUAGE>
      <PARAMETER_NAME>Data Final</PARAMETER_NAME>
      <DESCRIPTION>Data Final</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>RU</LANGUAGE>
      <PARAMETER_NAME>Конечная дата</PARAMETER_NAME>
      <DESCRIPTION>Конечная дата</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>S</LANGUAGE>
      <PARAMETER_NAME>Slutdatum</PARAMETER_NAME>
      <DESCRIPTION>Slutdatum</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>TR</LANGUAGE>
      <PARAMETER_NAME>Bitiş Tarihi</PARAMETER_NAME>
      <DESCRIPTION>Bitiş Tarihi</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>Count Date To</PARAMETER_NAME>
      <DESCRIPTION>End Date</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>ZHS</LANGUAGE>
      <PARAMETER_NAME>终止日期</PARAMETER_NAME>
      <DESCRIPTION>终止日期</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
   <PARAMETERS_ROW>
    <SORT_ORDER>7</SORT_ORDER>
    <DISPLAY_SEQUENCE>60</DISPLAY_SEQUENCE>
    <ANCHOR>:p_approved</ANCHOR>
    <PARAMETER_TYPE_DSP>LOV Oracle</PARAMETER_TYPE_DSP>
    <LOV_NAME>Yes_No</LOV_NAME>
    <VALIDATE_FROM_LIST_DSP>Y</VALIDATE_FROM_LIST_DSP>
    <LOV_QUERY_DSP>select
lookup_code id,
meaning value,
null description
from
fnd_lookups
where fnd_lookups.lookup_type=&apos;YES_NO&apos;
order by value,description</LOV_QUERY_DSP>
    <DEFAULT_VALUE>Y</DEFAULT_VALUE>
    <REQUIRED>Y</REQUIRED>
    <PARAMETER_TRANSLATIONS>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>AR</LANGUAGE>
      <PARAMETER_NAME>العدد المعتمد فقط</PARAMETER_NAME>
      <DESCRIPTION>العدد المعتمد فقط</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>D</LANGUAGE>
      <PARAMETER_NAME>Nur genehmigte Aufnahmen</PARAMETER_NAME>
      <DESCRIPTION>Nur genehmigte Aufnahmen</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>E</LANGUAGE>
      <PARAMETER_NAME>Sólo Recuentos Aprobados</PARAMETER_NAME>
      <DESCRIPTION>Sólo Recuentos Aprobados</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>F</LANGUAGE>
      <PARAMETER_NAME>Comptages approuvés uniquement</PARAMETER_NAME>
      <DESCRIPTION>Inventaires approuvés seulement</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>I</LANGUAGE>
      <PARAMETER_NAME>Solo inventari approvati</PARAMETER_NAME>
      <DESCRIPTION>Solo inventari approvati</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>JA</LANGUAGE>
      <PARAMETER_NAME>承認済棚卸のみ</PARAMETER_NAME>
      <DESCRIPTION>承認済棚卸のみ</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>KO</LANGUAGE>
      <PARAMETER_NAME>승인된 실사만</PARAMETER_NAME>
      <DESCRIPTION>승인된 실사만</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>PTB</LANGUAGE>
      <PARAMETER_NAME>Contagens Aprovadas Somente</PARAMETER_NAME>
      <DESCRIPTION>Contagens Aprovadas Somente</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>RU</LANGUAGE>
      <PARAMETER_NAME>Только утвержденные количества</PARAMETER_NAME>
      <DESCRIPTION>Только утвержденные количества</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>S</LANGUAGE>
      <PARAMETER_NAME>Endast godkända inventeringar</PARAMETER_NAME>
      <DESCRIPTION>Endast godkända inventeringar</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>TR</LANGUAGE>
      <PARAMETER_NAME>Sadece Onaylı Sayımlar</PARAMETER_NAME>
      <DESCRIPTION>Sadece Onaylı Sayımlar</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>US</LANGUAGE>
      <PARAMETER_NAME>Approved Counts Only</PARAMETER_NAME>
      <DESCRIPTION>Approved Counts Only</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
     <PARAMETER_TRANSLATIONS_ROW>
      <LANGUAGE>ZHS</LANGUAGE>
      <PARAMETER_NAME>仅批准的数量</PARAMETER_NAME>
      <DESCRIPTION>仅批准的数量</DESCRIPTION>
     </PARAMETER_TRANSLATIONS_ROW>
    </PARAMETER_TRANSLATIONS>
   </PARAMETERS_ROW>
  </PARAMETERS>
  <PARAMETER_DEPENDENCIES>
   <PARAMETER_DEPENDENCIES_ROW>
    <FLEX_BIND>:$flex$.organization_code</FLEX_BIND>
    <PARAMETER_NAME>Organization Code</PARAMETER_NAME>
    <DEPENDENT_PARAMETER_NAME>Cycle Count Name</DEPENDENT_PARAMETER_NAME>
   </PARAMETER_DEPENDENCIES_ROW>
   <PARAMETER_DEPENDENCIES_ROW>
    <FLEX_BIND>:$flex$.organization_code</FLEX_BIND>
    <PARAMETER_NAME>Organization Code</PARAMETER_NAME>
    <DEPENDENT_PARAMETER_NAME>Subinventory</DEPENDENT_PARAMETER_NAME>
   </PARAMETER_DEPENDENCIES_ROW>
  </PARAMETER_DEPENDENCIES>
  <TEMPLATES>
   <TEMPLATES_ROW>
    <GUID>5878AA40F996C6E486D2B5350DCB0F6F</GUID>
    <TEMPLATE_NAME>Summarized view</TEMPLATE_NAME>
    <DESCRIPTION>Summarized view of cycle count entries and adjustment by organization code, cycle count name and subinventory.</DESCRIPTION>
    <OWNER>ENGINATICS</OWNER>
    <TEMPLATE_COLUMNS>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>11</DISPLAY_SEQUENCE>
      <COLUMN_NAME>ABC_CLASS_NAME</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>18</DISPLAY_SEQUENCE>
      <COLUMN_NAME>ADJUSTMENTS_AMOUNT</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>17</DISPLAY_SEQUENCE>
      <COLUMN_NAME>ADJUSTMENTS_QUANTITY</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>14</DISPLAY_SEQUENCE>
      <COLUMN_NAME>APPROVED_FLAG</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>20</DISPLAY_SEQUENCE>
      <COLUMN_NAME>COST_GROUP</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>12</DISPLAY_SEQUENCE>
      <COLUMN_NAME>COUNT_DATE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>13</DISPLAY_SEQUENCE>
      <COLUMN_NAME>COUNT_TYPE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>3</DISPLAY_SEQUENCE>
      <COLUMN_NAME>CURRENCY_CODE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>4</DISPLAY_SEQUENCE>
      <COLUMN_NAME>CYCLE_COUNT_NAME</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>27</DISPLAY_SEQUENCE>
      <COLUMN_NAME>GROSS_ACCURACY_PERCENTAGE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>24</DISPLAY_SEQUENCE>
      <COLUMN_NAME>GROSS_ADJUSTMENT_VALUE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>7</DISPLAY_SEQUENCE>
      <COLUMN_NAME>ITEM_DESCRIPTION</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>26</DISPLAY_SEQUENCE>
      <COLUMN_NAME>ITEM_INVENTORY_VALUE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>6</DISPLAY_SEQUENCE>
      <COLUMN_NAME>ITEM_NUMBER</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>8</DISPLAY_SEQUENCE>
      <COLUMN_NAME>LOCATOR</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>9</DISPLAY_SEQUENCE>
      <COLUMN_NAME>LOCATOR_DESCRIPTION</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>32</DISPLAY_SEQUENCE>
      <COLUMN_NAME>LOT_NUMBER</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>30</DISPLAY_SEQUENCE>
      <COLUMN_NAME>NEGTAIVE_ADJUSTMENT_VALUES</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>28</DISPLAY_SEQUENCE>
      <COLUMN_NAME>NET_ACCURACY_PERCENTAGE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>25</DISPLAY_SEQUENCE>
      <COLUMN_NAME>NET_ADJUSTMENT_VALUE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>19</DISPLAY_SEQUENCE>
      <COLUMN_NAME>NUMBER_OF_COUNTS</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>1</DISPLAY_SEQUENCE>
      <COLUMN_NAME>ORGANIZATION_CODE</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>2</DISPLAY_SEQUENCE>
      <COLUMN_NAME>ORGANIZATION_NAME</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>23</DISPLAY_SEQUENCE>
      <COLUMN_NAME>OTHER_COUNT</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>21</DISPLAY_SEQUENCE>
      <COLUMN_NAME>OUTERMOST_LICENSE_PLATE_NUMBER</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>22</DISPLAY_SEQUENCE>
      <COLUMN_NAME>PARENT_LICENSE_PLATE_NUMBER</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>29</DISPLAY_SEQUENCE>
      <COLUMN_NAME>POSITIVE_ADJUSTMENT_VALUES</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>15</DISPLAY_SEQUENCE>
      <COLUMN_NAME>QUANTITY</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>10</DISPLAY_SEQUENCE>
      <COLUMN_NAME>REVISION</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>31</DISPLAY_SEQUENCE>
      <COLUMN_NAME>SERIALS</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>5</DISPLAY_SEQUENCE>
      <COLUMN_NAME>SUBINVENTORY</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
     <TEMPLATE_COLUMNS_ROW>
      <DISPLAY_SEQUENCE>16</DISPLAY_SEQUENCE>
      <COLUMN_NAME>UOM</COLUMN_NAME>
     </TEMPLATE_COLUMNS_ROW>
    </TEMPLATE_COLUMNS>
    <TEMPLATE_PIVOT>
    </TEMPLATE_PIVOT>
    <FILE_NAME>INV Cycle count entries and adjustments.xlsx</FILE_NAME>
    <FILE_LANGUAGE>US</FILE_LANGUAGE>
    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     <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>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>V1</CELL_IDENTIFIER>
      <STYLE_ID>1</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>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>A9</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>5</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>parameter</SHEET_TYPE>
      <CELL_IDENTIFIER>B10</CELL_IDENTIFIER>
      <STYLE_ID>5</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>parameter</SHEET_TYPE>
      <CELL_IDENTIFIER>B11</CELL_IDENTIFIER>
      <STYLE_ID>5</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>parameter</SHEET_TYPE>
      <CELL_IDENTIFIER>B12</CELL_IDENTIFIER>
      <STYLE_ID>5</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>parameter</SHEET_TYPE>
      <CELL_IDENTIFIER>B2</CELL_IDENTIFIER>
      <STYLE_ID>5</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>5</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>parameter</SHEET_TYPE>
      <CELL_IDENTIFIER>B5</CELL_IDENTIFIER>
      <STYLE_ID>5</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>parameter</SHEET_TYPE>
      <CELL_IDENTIFIER>B6</CELL_IDENTIFIER>
      <STYLE_ID>5</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>parameter</SHEET_TYPE>
      <CELL_IDENTIFIER>B7</CELL_IDENTIFIER>
      <STYLE_ID>5</STYLE_ID>
     </TEMPLATE_STYLES_ROW>
     <TEMPLATE_STYLES_ROW>
      <SHEET_TYPE>parameter</SHEET_TYPE>
      <CELL_IDENTIFIER>B9</CELL_IDENTIFIER>
      <STYLE_ID>5</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>
    <USER_NAME>ENGINATICS</USER_NAME>
    <TEMPLATE_GUID>5878AA40F996C6E486D2B5350DCB0F6F</TEMPLATE_GUID>
   </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>
