ENGINATICS SYSTEM_ADMINISTRATOR SYSADMIN 49A8B1A8037708ACE0530100007FEB91Y select &serial_columns x.*, case when x.aging_days<=30 then '1. 0-30 Days' when x.aging_days<=60 then '2. 31-60 Days' when x.aging_days<=90 then '3. 61-90 Days' when x.aging_days<=180 then '4. 91-180 Days' when x.aging_days<=365 then '5. 181-365 Days' when x.aging_days>365 then '6. Over 365 Days' end "Aging Band", case when :p_show_trx_hist is null then null when nvl(x.stock_out_3m,0)<>0 then '1. Under 3 Months' when nvl(x.stock_out_6m,0)<>0 then '2. 3-6 Months' when nvl(x.stock_out_12m,0)<>0 then '3. 6-12 Months' when nvl(x.stock_out_24m,0)<>0 then '4. 12-24 Months' when nvl(x.stock_out_36m,0)<>0 then '5. 24-36 Months' else '6. No Issues in 36 Months' end "Last Issue Band", case when nvl(x.min_minmax_quantity,0)=0 and nvl(x.max_minmax_quantity,0)=0 then '4. No Min-Max Defined' when x.on_hand_org_sum<x.min_minmax_quantity then '1. Below Min' when x.max_minmax_quantity>0 and x.on_hand_org_sum>x.max_minmax_quantity then '3. Above Max' else '2. Within Min-Max' end "Min Max Status" from ( select distinct ood.organization_name, ood.organization_code, msi.secondary_inventory_name subinventory, msi.description subinventory_description, xxen_util.meaning(nvl(msi.subinventory_type, 1),'MTL_SUB_TYPES',700) subinventory_type, nvl(inv_project.get_locator(milk.inventory_location_id,milk.organization_id),milk.concatenated_segments) locator, xxen_util.meaning(milk.inventory_location_type,'MTL_LOCATOR_TYPES',700) locator_type, mmsv.status_code status, msiv.concatenated_segments item, msiv.description item_description, to_char(msiv.creation_date,'DD-Mon-YYYY HH24:MI:SS') item_creation_date, xxen_util.meaning(msiv.item_type,'ITEM_TYPE',3) user_item_type, xxen_util.meaning(msiv.wip_supply_type,'WIP_SUPPLY',700) wip_supply_type, ( select listagg(mac.abc_class_name, ',') within group (order by mac.abc_class_name) from mtl_abc_classes mac where mac.organization_id=moqd.organization_id and exists ( select null from mtl_abc_assignments maa, mtl_abc_assignment_groups maag where 3=3 and maa.abc_class_id=mac.abc_class_id and maa.assignment_group_id=maag.assignment_group_id and maa.inventory_item_id=moqd.inventory_item_id ) ) abc_class_name, &category_columns case when :category_set_1 is not null then ( select min(mcbk.concatenated_segments) keep (dense_rank first order by mic.category_id) from mtl_item_categories mic, mtl_categories_b_kfv mcbk where mic.category_set_id=(select mcsv.category_set_id from mtl_category_sets_vl mcsv where mcsv.category_set_name=:category_set_1) and moqd.organization_id=mic.organization_id and moqd.inventory_item_id=mic.inventory_item_id and mic.category_id=mcbk.category_id ) end "Category Set 1", case when :category_set_1 is not null then ( select min(mcb.segment1) keep (dense_rank first order by mic.category_id) from mtl_item_categories mic, mtl_categories_b mcb where mic.category_set_id=(select mcsv.category_set_id from mtl_category_sets_vl mcsv where mcsv.category_set_name=:category_set_1) and moqd.organization_id=mic.organization_id and moqd.inventory_item_id=mic.inventory_item_id and mic.category_id=mcb.category_id ) end "Category Set 1 Top Level", xxen_util.meaning(msiv.planning_make_buy_code,'MTL_PLANNING_MAKE_BUY',700) make_buy, moqd.revision, muomv.unit_of_measure_tl unit_of_measure, sum(moqd.primary_transaction_quantity) over (partition by moqd.organization_id, moqd.inventory_item_id, moqd.revision, moqd.lot_number, moqd.cost_group_id, moqd.subinventory_code, moqd.locator_id, moqd.lpn_id, moqd.project_id, moqd.task_id, moqd.owning_tp_type, moqd.owning_organization_id, moqd.planning_tp_type, moqd.planning_organization_id) on_hand, cic.cost_type, cic.item_cost, cic.material_cost, cic.material_overhead_cost, cic.outside_processing_cost, cic.resource_cost, cic.overhead_cost, round(sum(moqd.primary_transaction_quantity * nvl(cic.item_cost,0)) over (partition by moqd.organization_id, moqd.inventory_item_id, moqd.revision, moqd.lot_number, moqd.cost_group_id, moqd.subinventory_code, moqd.locator_id, moqd.lpn_id, moqd.project_id, moqd.task_id, moqd.owning_tp_type, moqd.owning_organization_id, moqd.planning_tp_type, moqd.planning_organization_id),2) on_hand_value, mr.reserved, sum(decode(moqd.containerized_flag,1,0,moqd.primary_transaction_quantity)) over (partition by moqd.organization_id, moqd.inventory_item_id, moqd.revision, moqd.lot_number, moqd.cost_group_id, moqd.subinventory_code, moqd.locator_id, moqd.lpn_id, moqd.project_id, moqd.task_id, moqd.owning_tp_type, moqd.owning_organization_id, moqd.planning_tp_type, moqd.planning_organization_id) unpacked, sum(decode(moqd.containerized_flag,1,moqd.primary_transaction_quantity,0)) over (partition by moqd.organization_id, moqd.inventory_item_id, moqd.revision, moqd.lot_number, moqd.cost_group_id, moqd.subinventory_code, moqd.locator_id, moqd.lpn_id, moqd.project_id, moqd.task_id, moqd.owning_tp_type, moqd.owning_organization_id, moqd.planning_tp_type, moqd.planning_organization_id) packed, wlpn.license_plate_number, moqd.lot_number, mln.expiration_date lot_expiration_date, ccg.cost_group, ppa.project_number project, pt.task_number task, xxen_util.meaning(moqd.owning_tp_type,'MTL_TP_TYPES',3) owning_tp_type, aps.vendor_name||nvl2(assa.vendor_site_code,'-',null)||assa.vendor_site_code owning_party, xxen_util.meaning(moqd.planning_tp_type,'MTL_TP_TYPES',3) planning_tp_type, decode(moqd.planning_tp_type,2,mp2.organization_code,1,assa2.vendor_site_code,moqd.planning_organization_id) planning_org, nvl(xxen_util.meaning(msiv.serial_number_control_code,'CSP_INV_ITEM_SERIAL_CONTROL',0),xxen_util.meaning(msiv.serial_number_control_code,'MTL_SERIAL_NUMBER',700)) serial_control, xxen_util.meaning(msiv.lot_control_code,'MTL_LOT_CONTROL',700) lot_control, xxen_util.meaning(msi.availability_type,'MTL_AVAILABILITY',700) availability_type, min(moqd.date_received) over (partition by moqd.organization_id, moqd.inventory_item_id, moqd.revision, moqd.lot_number, moqd.cost_group_id, moqd.subinventory_code, moqd.locator_id, moqd.lpn_id, moqd.project_id, moqd.task_id, moqd.owning_tp_type, moqd.owning_organization_id, moqd.planning_tp_type, moqd.planning_organization_id) date_received, trunc(sysdate)-trunc(min(moqd.date_received) over (partition by moqd.organization_id, moqd.inventory_item_id, moqd.revision, moqd.lot_number, moqd.cost_group_id, moqd.subinventory_code, moqd.locator_id, moqd.lpn_id, moqd.project_id, moqd.task_id, moqd.owning_tp_type, moqd.owning_organization_id, moqd.planning_tp_type, moqd.planning_organization_id)) aging_days, case when moqd.lpn_id is not null then min(moqd.date_received) over (partition by moqd.organization_id, moqd.subinventory_code, moqd.lpn_id) else null end lpn_subinventory_date, case when moqd.lpn_id is not null then trunc(sysdate)-trunc(min(moqd.date_received) over (partition by moqd.organization_id, moqd.subinventory_code, moqd.lpn_id)) else null end lpn_subinventory_aging_days, msiv.list_price_per_unit, msiv.min_minmax_quantity, msiv.max_minmax_quantity, (select distinct max(mss.safety_stock_quantity) keep (dense_rank last order by mss.effectivity_date) over (partition by mss.organization_id,mss.inventory_item_id) safety_stock from mtl_safety_stocks mss where moqd.organization_id=mss.organization_id and moqd.inventory_item_id=mss.inventory_item_id and mss.effectivity_date<=sysdate) safety_stock, moqd.inventory_item_id, moqd.organization_id, moqd.subinventory_code, &serial_keys sum(moqd.primary_transaction_quantity) over (partition by moqd.organization_id, moqd.inventory_item_id) on_hand_org_sum, sum(moqd.primary_transaction_quantity) over (partition by moqd.inventory_item_id) on_hand_sum, round(sum(moqd.primary_transaction_quantity * nvl(cic.item_cost,0)) over (partition by moqd.inventory_item_id),2) on_hand_value_sum, mmt.stock_out_3m, mmt.stock_out_6m, mmt.stock_out_12m, mmt.stock_out_24m, mmt.stock_out_36m, mmt.stock_in_3m, mmt.stock_in_6m, mmt.stock_in_12m, mmt.stock_in_24m, mmt.stock_in_36m, mmt.stock_mvmt_3m, mmt.stock_mvmt_6m, mmt.stock_mvmt_12m, mmt.stock_mvmt_24m, mmt.stock_mvmt_36m, mmt.stock_out_3m*nvl(cic.item_cost,0) value_out_3m, mmt.stock_out_6m*nvl(cic.item_cost,0) value_out_6m, mmt.stock_out_12m*nvl(cic.item_cost,0) value_out_12m, mmt.stock_out_24m*nvl(cic.item_cost,0) value_out_24m, mmt.stock_out_36m*nvl(cic.item_cost,0) value_out_36m, mmt.stock_in_3m*nvl(cic.item_cost,0) value_in_3m, mmt.stock_in_6m*nvl(cic.item_cost,0) value_in_6m, mmt.stock_in_12m*nvl(cic.item_cost,0) value_in_12m, mmt.stock_in_24m*nvl(cic.item_cost,0) value_in_24m, mmt.stock_in_36m*nvl(cic.item_cost,0) value_in_36m, mmt.stock_mvmt_3m*nvl(cic.item_cost,0) value_mvmt_3m, mmt.stock_mvmt_6m*nvl(cic.item_cost,0) value_mvmt_6m, mmt.stock_mvmt_12m*nvl(cic.item_cost,0) value_mvmt_12m, mmt.stock_mvmt_24m*nvl(cic.item_cost,0) value_mvmt_24m, mmt.stock_mvmt_36m*nvl(cic.item_cost,0) value_mvmt_36m from org_organization_definitions ood, mtl_onhand_quantities_detail moqd, mtl_secondary_inventories msi, mtl_item_locations_kfv milk, mtl_material_statuses_vl mmsv, wms_license_plate_numbers wlpn, mtl_system_items_vl msiv, mtl_units_of_measure_vl muomv, ap_supplier_sites_all assa, ap_suppliers aps, mtl_parameters mp2, ap_supplier_sites_all assa2, mtl_lot_numbers mln, cst_cost_groups ccg, ( select ppa.project_id, ppa.segment1 project_number from pa_projects_all ppa union select psm.project_id, psm.project_number from pjm_seiban_numbers psm ) ppa, pa_tasks pt, ( select distinct sum(mr.primary_reservation_quantity) over (partition by mr.inventory_item_id, mr.organization_id, mr.subinventory_code) reserved, mr.inventory_item_id, mr.organization_id, mr.subinventory_code from mtl_reservations mr ) mr, ( select sum(case when mmt.transaction_action_id in (1,21,3,32,34) and mmt.transaction_date>add_months(sysdate,-3) then nvl(mtln.primary_quantity,mmt.primary_quantity) end) stock_out_3m, sum(case when mmt.transaction_action_id in (1,21,3,32,34) and mmt.transaction_date>add_months(sysdate,-6) and mmt.transaction_date<=add_months(sysdate,-3) then nvl(mtln.primary_quantity,mmt.primary_quantity) end) stock_out_6m, sum(case when mmt.transaction_action_id in (1,21,3,32,34) and mmt.transaction_date>add_months(sysdate,-12) and mmt.transaction_date<=add_months(sysdate,-6) then nvl(mtln.primary_quantity,mmt.primary_quantity) end) stock_out_12m, sum(case when mmt.transaction_action_id in (1,21,3,32,34) and mmt.transaction_date>add_months(sysdate,-24) and mmt.transaction_date<=add_months(sysdate,-12) then nvl(mtln.primary_quantity,mmt.primary_quantity) end) stock_out_24m, sum(case when mmt.transaction_action_id in (1,21,3,32,34) and mmt.transaction_date>add_months(sysdate,-36) and mmt.transaction_date<=add_months(sysdate,-24) then nvl(mtln.primary_quantity,mmt.primary_quantity) end) stock_out_36m, sum(case when mmt.transaction_action_id in (27,12,31,33) and mmt.transaction_date>add_months(sysdate,-3) then nvl(mtln.primary_quantity,mmt.primary_quantity) end) stock_in_3m, sum(case when mmt.transaction_action_id in (27,12,31,33) and mmt.transaction_date>add_months(sysdate,-6) and mmt.transaction_date<=add_months(sysdate,-3) then nvl(mtln.primary_quantity,mmt.primary_quantity) end) stock_in_6m, sum(case when mmt.transaction_action_id in (27,12,31,33) and mmt.transaction_date>add_months(sysdate,-12) and mmt.transaction_date<=add_months(sysdate,-6) then nvl(mtln.primary_quantity,mmt.primary_quantity) end) stock_in_12m, sum(case when mmt.transaction_action_id in (27,12,31,33) and mmt.transaction_date>add_months(sysdate,-24) and mmt.transaction_date<=add_months(sysdate,-12) then nvl(mtln.primary_quantity,mmt.primary_quantity) end) stock_in_24m, sum(case when mmt.transaction_action_id in (27,12,31,33) and mmt.transaction_date>add_months(sysdate,-36) and mmt.transaction_date<=add_months(sysdate,-24) then nvl(mtln.primary_quantity,mmt.primary_quantity) end) stock_in_36m, sum(case when mmt.transaction_date>add_months(sysdate,-3) then nvl(mtln.primary_quantity,mmt.primary_quantity) end) stock_mvmt_3m, sum(case when mmt.transaction_date>add_months(sysdate,-6) and mmt.transaction_date<=add_months(sysdate,-3) then nvl(mtln.primary_quantity,mmt.primary_quantity) end) stock_mvmt_6m, sum(case when mmt.transaction_date>add_months(sysdate,-12) and mmt.transaction_date<=add_months(sysdate,-6) then nvl(mtln.primary_quantity,mmt.primary_quantity) end) stock_mvmt_12m, sum(case when mmt.transaction_date>add_months(sysdate,-24) and mmt.transaction_date<=add_months(sysdate,-12) then nvl(mtln.primary_quantity,mmt.primary_quantity) end) stock_mvmt_24m, sum(case when mmt.transaction_date>add_months(sysdate,-36) and mmt.transaction_date<=add_months(sysdate,-24) then nvl(mtln.primary_quantity,mmt.primary_quantity) end) stock_mvmt_36m, mmt.inventory_item_id, mmt.organization_id, mmt.subinventory_code, mmt.revision, mmt.cost_group_id, mmt.locator_id, case when nvl(mmt.lpn_id,-1)<>nvl(wmpn.lpn_id,-1) then null else mmt.lpn_id end lpn_id, mmt.project_id, mmt.task_id, mmt.owning_tp_type, mmt.owning_organization_id, mmt.planning_tp_type, mmt.planning_organization_id, mtln.lot_number from mtl_material_transactions mmt, mtl_transaction_lot_numbers mtln, wms_license_plate_numbers wmpn, mtl_parameters mp where 2=2 and :p_show_trx_hist is not null and mmt.transaction_id=mtln.transaction_id(+) and mmt.lpn_id= wmpn.lpn_id(+) and mmt.transaction_action_id in (1,21,27,12,31,33,3,32,34) and mp.organization_id=mmt.organization_id and case when :p_txn_date_from is not null and mmt.transaction_date > :p_txn_date_from and mmt.transaction_date <=trunc(sysdate) then 1 when :p_txn_date_from is null and mmt.transaction_date>add_months(sysdate,-36) then 1 end=1 group by mmt.inventory_item_id, mmt.organization_id, mmt.subinventory_code, mmt.revision, mmt.cost_group_id, mmt.locator_id, case when nvl(mmt.lpn_id,-1)<>nvl(wmpn.lpn_id,-1) then null else mmt.lpn_id end, mmt.project_id, mmt.task_id, mmt.owning_tp_type, mmt.owning_organization_id, mmt.planning_tp_type, mmt.planning_organization_id, mtln.lot_number ) mmt, ( select cic.organization_id, cic.inventory_item_id, cct.cost_type, cic.item_cost, cic.material_cost, cic.material_overhead_cost, cic.outside_processing_cost, cic.resource_cost, cic.overhead_cost from mtl_parameters mp, cst_cost_types cct, cst_item_costs cic where cic.organization_id=mp.organization_id and cic.cost_type_id=mp.primary_cost_method and cic.cost_type_id=cct.cost_type_id ) cic where 1=1 and ood.organization_code in (select oav.organization_code 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.organization_id=moqd.organization_id and moqd.organization_id=msi.organization_id(+) and moqd.subinventory_code=msi.secondary_inventory_name(+) and moqd.organization_id=milk.organization_id(+) and moqd.locator_id=milk.inventory_location_id(+) and milk.status_id=mmsv.status_id(+) and moqd.lpn_id=wlpn.lpn_id(+) and moqd.organization_id=msiv.organization_id and moqd.inventory_item_id=msiv.inventory_item_id and msiv.primary_uom_code=muomv.uom_code(+) and decode(moqd.owning_tp_type,1,moqd.owning_organization_id)=assa.vendor_site_id(+) and assa.vendor_id=aps.vendor_id(+) and decode(moqd.planning_tp_type,2,moqd.planning_organization_id)=mp2.organization_id(+) and decode(moqd.planning_tp_type,1,moqd.planning_organization_id)=assa2.vendor_site_id(+) and moqd.inventory_item_id=mln.inventory_item_id(+) and moqd.organization_id=mln.organization_id(+) and moqd.lot_number=mln.lot_number(+) and moqd.cost_group_id=ccg.cost_group_id(+) and moqd.project_id=ppa.project_id(+) and moqd.task_id=pt.task_id(+) and moqd.inventory_item_id=mr.inventory_item_id(+) and moqd.organization_id=mr.organization_id(+) and moqd.subinventory_code=mr.subinventory_code(+) and moqd.inventory_item_id=mmt.inventory_item_id(+) and moqd.organization_id=mmt.organization_id(+) and moqd.subinventory_code=mmt.subinventory_code(+) and moqd.cost_group_id=nvl(mmt.cost_group_id(+),-1) and nvl(moqd.revision,-1)= nvl(mmt.revision(+),-1) and nvl(moqd.lot_number,'?')=nvl(mmt.lot_number(+),'?') and nvl(moqd.locator_id,-1)=nvl(mmt.locator_id(+),-1) and nvl(moqd.lpn_id,-1)=nvl(mmt.lpn_id(+),-1) and nvl(moqd.project_id,-1)=nvl(mmt.project_id(+),-1) and nvl(moqd.task_id,-1)=nvl(mmt.task_id(+),-1) and nvl(moqd.owning_tp_type,-1)=nvl(mmt.owning_tp_type(+),-1) and nvl(moqd.owning_organization_id,-1)=nvl(mmt.owning_organization_id(+),-1) and nvl(moqd.planning_tp_type,-1)=nvl(mmt.planning_tp_type(+),-1) and nvl(moqd.planning_organization_id,-1)=nvl(mmt.planning_organization_id(+),-1) and moqd.organization_id=cic.organization_id(+)and moqd.inventory_item_id=cic.inventory_item_id(+) ) x &serial_from where 4=4 order by x.organization_code, x.on_hand_sum desc, x.item, x.on_hand desc &serial_order Added a Show Serial Numbers parameter listing one row per serial number resident in the on-hand location. AR INV Onhand Quantities تقرير تفصيلي عن كميات صنف المخزون حسب المؤسسة ، والمخزون الفرعي ، والموقع ، ووحدة القياس ، والكمية المتوفرة ، والكمية المحجوزة ، والكمية غير المعبأة ، ورقم الدفعة ، وانتهاء الصلاحية ، ومعلومات التخطيط ، والتحكم التسلسلي ، ونوع التوفر ، وتاريخ الاستلام ، وسعر القائمة ، والحد الأدنى / ماكس ومخزون السلامة. D INV Onhand Quantities Detailbericht Lagerartikelmengen nach Org, Unterlager, Standort, Mengeneinheit, vorrätiger Menge, reservierter Menge, unverpackter Menge, Chargennummer, Chargenverfall, Planungsinformationen, Serienkontrolle, Verfügbarkeitsart, Eingangsdatum, Listenpreis, min / max und Sicherheitsbestand. E INV Onhand Quantities Informe detallado de las cantidades de los artículos del inventario por organización, subinventario, ubicación, unidad de medida, cantidad disponible, cantidad reservada, cantidad desembalada, número de lote, caducidad del lote, información de planificación, control de serie, tipo de disponibilidad, fecha de recepción, precio de lista, mínimo/máximo y stock de seguridad. F INV Onhand Quantities Rapport détaillé des quantités d'articles en stock par org, sous-stock, emplacement, unité de mesure, quantité en stock, quantité réservée, quantité déballée, numéro de lot, expiration du lot, informations de planification, contrôle des séries, type de disponibilité, date de réception, prix de liste, min/max et stock de sécurité. I INV Onhand Quantities Rapporto dettagliato delle quantità degli articoli d'inventario per org, sotto inventario, posizione, unità di misura, quantità a portata di mano, quantità riservata, quantità non imballata, numero di lotto, scadenza del lotto, informazioni di pianificazione, controllo seriale, tipo di disponibilità, data ricevuta, prezzo di listino, min / max e stock di sicurezza. JA INV Onhand Quantities 詳細レポートの在庫項目の組織別の数量、サブ在庫、場所、測定単位、手元の数量、予約数量、未開梱数量、ロット番号、ロットの有効期限、計画情報、シリアルコントロール、可用性のタイプ、受信日、リスト価格、最小/最大と安全在庫を報告します。 KO INV Onhand Quantities 조직 별 재고 품목 수량, 하위 재고, 위치, UOM, 현재 고 수량, 예약 수량, 포장 해제 된 수량, 로트 번호, 로트 만료, 계획 정보, 일련 번호 관리, 가용성 유형, 입고 날짜, 정가, 최소 / 최대 및 안전 재고. PTB INV Onhand Quantities Detalhar quantidades de itens de inventário por org, sub-estoque, localização, unidade de medida, quantidade em caixa, quantidade reservada, quantidade desempacotada, número do lote, vencimento do lote, informações de planejamento, controle de série, tipo de disponibilidade, data de recebimento, preço de lista, min/max e estoque de segurança. RU INV Onhand Quantities Подробный отчет инвентаризационные количества изделий по оргкомитету, подкатегории, расположение, единицы измерения, количество на руках, количество зарезервировано, количество неупакованных, номер партии, истечение срока действия партии, информация для планирования, серийный контроль, тип наличия, дата получения, цена списка, мин / макс и безопасности запас. S INV Onhand Quantities Detaljrapport inventering kvantiteter efter organisation, underinventering, plats, måttenhet, kvantitet till hands, reserverad kvantitet, kvantitet uppackad, partinummer, partiets utgång, planeringsinformation, seriekontroll, tillgänglighetstyp, mottaget datum, listpris, min / max och säkerhetslager. TR INV Onhand Quantities Ayrıntılı rapor envanter kalemi miktarları org, alt envanter, konum, ölçü birimi, eldeki miktar, ayrılan miktar, paketlenmemiş miktar, lot numarası, lot son kullanma tarihi, planlama bilgileri, seri kontrol, kullanılabilirlik türü, alınan tarih, liste fiyatı, min / max ve emniyet stoğu. US INV Onhand Quantities Detail report inventory item quantities by org, sub inventory, location, unit of measure, quantity on hand, quantity reserved, quantity unpacked, lot number, lot expiration, planning information, serial control, availability type, date received, list price, min / max and safety stock. Show Serial Numbers adds one row per serial number resident in the on-hand location; the quantity and value columns are those of the location and repeat on every serial row. ZHS INV Onhand Quantities 按组织、子库存、地点、计量单位、库存数量、保留数量、未包装数量、批号、批号到期、计划信息、序列控制、供应类型、收货日期、清单价格、最小/最大和安全库存详细报告库存项目数量。 Enginatics &category_columns &serial_columns &serial_from &serial_keys &serial_order 1=1 2=2 3=3 4=4 :category_set_1 :p_show_trx_hist :p_txn_date_from 1 -10 1=1 (moqd.organization_id,moqd.inventory_item_id) in ( select distinct xxen_util.instring(dbms_lob.substr(xrrpv.value),'|',1) organization_id, xxen_util.instring(dbms_lob.substr(xrrpv.value),'|',2) inventory_item_id from xxen_report_run_param_values xrrpv where xrrpv.parameter_id in (select xrpv.parameter_id from xxen_report_parameters_v xrpv where xrpv.parameter_name='organization_id|inventory_item_id') and xrrpv.run_id=:run_id ) Char F organisation_id|inventory_item_id US organization_id|inventory_item_id 2 10 1=1 ood.organization_code=:organization_code LOV INV Organization Code 8E2FF36EDEB279D2E0530100007F1FF2 Y select ood.organization_code value, ood.organization_name||' ('||ftv.territory_short_name||', '||hla.town_or_city||decode(mp.organization_id,mp.master_organization_id,null,', '||mp0.organization_code)||')' 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<>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)='Y')) 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)='Y')) and nvl(ood.disable_date,sysdate)>=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 select mp.organization_code from mtl_parameters mp where mp.organization_id=fnd_profile.value('MFG_ORGANIZATION_ID') F Code de l'organisation US Organization Code 3 2=2 mp.organization_code=:organization_code US Organization Code 4 20 1=1 msi.secondary_inventory_name=:secondary_inventory_name LOV INV Subinventory 8E2FF36EDF2A79D2E0530100007F1FF2 Y select msi.secondary_inventory_name value, msi.description||' ('||mp.organization_code||')' description from mtl_parameters mp, mtl_secondary_inventories msi where ( :$flex$.organization_code is null and ( fnd_profile.value('MFG_ORGANIZATION_ID') 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('MFG_ORGANIZATION_ID') ) or xxen_util.contains(:$flex$.organization_code,mp.organization_code)='Y' or xxen_util.contains(:$flex$.organization_code,mp.organization_id)='Y' ) and mp.organization_id=msi.organization_id order by mp.organization_code, msi.secondary_inventory_name F Sous-inventaire US Subinventory 5 2=2 mmt.subinventory_code=:secondary_inventory_name US Subinventory 6 30 1=1 msiv.concatenated_segments=:item LOV INV Item (master) 8E2FF36EDEF379D2E0530100007F1FF2 Y Y select msiv.concatenated_segments value, msiv.description from mtl_system_items_vl msiv where msiv.organization_id=( select max(mp.master_organization_id) master_organization_id from mtl_parameters mp where mp.organization_id=fnd_profile.value('MFG_ORGANIZATION_ID') or fnd_profile.value('MFG_ORGANIZATION_ID') is null and mp.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) ) order by msiv.concatenated_segments F Article US Item 7 2=2 mmt.inventory_item_id in (select inventory_item_id from mtl_system_items_vl msiv where msiv.concatenated_segments=:item and rownum=1) US Item 8 40 &category_columns select xxen_util.item_category_columns(p_category_set_name=>'<parameter_value>', p_table_alias=>'moqd') sql_text from dual LOV INV Category Set 8E2FF36EDECA79D2E0530100007F1FF2 Y select distinct mcsv.category_set_name value, mcsv.description from mtl_category_sets_vl mcsv where :$flex$.organization_code is null or mcsv.category_set_id in (select mic.category_set_id from mtl_parameters mp, mtl_item_categories mic where xxen_util.contains(:$flex$.organization_code,mp.organization_code)='Y' and mp.organization_id=mic.organization_id) order by mcsv.category_set_name coalesce(xxen_util.previous_parameter_value(:parameter_id),(select mdsv.category_set_name from mtl_default_sets_view mdsv where mdsv.functional_area_id=1)) F Ensemble de la catégorie US Category Set 1 9 :category_set_1 US Category Set 1 10 50 &category_columns select xxen_util.item_category_columns(p_category_set_name=>'<parameter_value>', p_table_alias=>'moqd') sql_text from dual LOV INV Category Set 8E2FF36EDECA79D2E0530100007F1FF2 Y select distinct mcsv.category_set_name value, mcsv.description from mtl_category_sets_vl mcsv where :$flex$.organization_code is null or mcsv.category_set_id in (select mic.category_set_id from mtl_parameters mp, mtl_item_categories mic where xxen_util.contains(:$flex$.organization_code,mp.organization_code)='Y' and mp.organization_id=mic.organization_id) order by mcsv.category_set_name coalesce(xxen_util.previous_parameter_value(:parameter_id),(select mdsv.category_set_name from mtl_default_sets_view mdsv where mdsv.functional_area_id=2)) F Catégorie de US Category Set 2 11 60 &category_columns select xxen_util.item_category_columns(p_category_set_name=>'<parameter_value>', p_table_alias=>'moqd') sql_text from dual LOV INV Category Set 8E2FF36EDECA79D2E0530100007F1FF2 Y select distinct mcsv.category_set_name value, mcsv.description from mtl_category_sets_vl mcsv where :$flex$.organization_code is null or mcsv.category_set_id in (select mic.category_set_id from mtl_parameters mp, mtl_item_categories mic where xxen_util.contains(:$flex$.organization_code,mp.organization_code)='Y' and mp.organization_id=mic.organization_id) order by mcsv.category_set_name xxen_util.previous_parameter_value(:parameter_id) F Catégorie à US Category Set 3 12 100 1=1 msi.availability_type=1 LOV Yes 8E2FF36EDEA679D2E0530100007F1FF2 Y select 'Y' id, xxen_util.meaning('Y','YES_NO',0) value, null description from dual F Nettable uniquement US Nettable only 13 110 :p_show_trx_hist LOV Yes 8E2FF36EDEA679D2E0530100007F1FF2 Y select 'Y' id, xxen_util.meaning('Y','YES_NO',0) value, null description from dual F Afficher le résumé des mouvements US Show Movements Summary 14 120 :p_txn_date_from Date US Txn Date From 15 130 3=3 maag.assignment_group_id=:group_id LOV Oracle INV_SRS_ABC_GROUP_HDR Y select assignment_group_id id, assignment_group_name value, null description from mtl_abc_assignment_groups where organization_id=fnd_profile.value('MFG_ORGANIZATION_ID') order by assignment_group_name US ABC Assignment Group 16 140 &serial_columns msn.serial_number, LOV Yes 8E2FF36EDEA679D2E0530100007F1FF2 Y select 'Y' id, xxen_util.meaning('Y','YES_NO',0) value, null description from dual Y US Show Serial Numbers 17 &serial_from , mtl_serial_numbers msn Y US Show Serial Numbers 18 &serial_keys moqd.locator_id, moqd.lpn_id, Y US Show Serial Numbers 19 &serial_order , msn.serial_number Y US Show Serial Numbers 20 4=4 x.inventory_item_id=msn.inventory_item_id(+) and x.organization_id=msn.current_organization_id(+) and x.subinventory_code=msn.current_subinventory_code(+) and nvl(x.locator_id,-1)=nvl(msn.current_locator_id(+),-1) and nvl(x.lot_number,'?')=nvl(msn.lot_number(+),'?') and nvl(x.revision,'?')=nvl(msn.revision(+),'?') and nvl(x.lpn_id,-1)=nvl(msn.lpn_id(+),-1) and msn.current_status(+)=3 Y US Show Serial Numbers DF1D2332853B26B018B6788B644B8D41 Dashboard - Onhand Value and Aging KPIs On hand value KPIs with aging, coverage and min-max analysis. The Item filter and every slicer drive the headline cards as well as the charts. SYSADMIN 14 ABC_CLASS_NAME 49 AGING_DAYS 47 AVAILABILITY_TYPE 15 Aging Band 38 COST_GROUP 24 COST_TYPE 19 Category Set 1 18 Category Set 1 Top Level 48 DATE_RECEIVED 56 INVENTORY_ITEM_ID 9 ITEM 25 ITEM_COST 11 ITEM_CREATION_DATE 10 ITEM_DESCRIPTION 35 LICENSE_PLATE_NUMBER 52 LIST_PRICE_PER_UNIT 6 LOCATOR 7 LOCATOR_TYPE 46 LOT_CONTROL 37 LOT_EXPIRATION_DATE 36 LOT_NUMBER 51 LPN_SUBINVENTORY_AGING_DAYS 50 LPN_SUBINVENTORY_DATE 16 Last Issue Band 20 MAKE_BUY 26 MATERIAL_COST 27 MATERIAL_OVERHEAD_COST 54 MAX_MINMAX_QUANTITY 53 MIN_MINMAX_QUANTITY 17 Min Max Status 23 ON_HAND 59 ON_HAND_ORG_SUM 60 ON_HAND_SUM 31 ON_HAND_VALUE 61 ON_HAND_VALUE_SUM 2 ORGANIZATION_CODE 57 ORGANIZATION_ID 1 ORGANIZATION_NAME 28 OUTSIDE_PROCESSING_COST 30 OVERHEAD_COST 42 OWNING_PARTY 41 OWNING_TP_TYPE 34 PACKED 44 PLANNING_ORG 43 PLANNING_TP_TYPE 39 PROJECT 32 RESERVED 29 RESOURCE_COST 21 REVISION 55 SAFETY_STOCK 45 SERIAL_CONTROL 8 STATUS 69 STOCK_IN_12M 70 STOCK_IN_24M 71 STOCK_IN_36M 67 STOCK_IN_3M 68 STOCK_IN_6M 74 STOCK_MVMT_12M 75 STOCK_MVMT_24M 76 STOCK_MVMT_36M 72 STOCK_MVMT_3M 73 STOCK_MVMT_6M 64 STOCK_OUT_12M 65 STOCK_OUT_24M 66 STOCK_OUT_36M 62 STOCK_OUT_3M 63 STOCK_OUT_6M 3 SUBINVENTORY 58 SUBINVENTORY_CODE 4 SUBINVENTORY_DESCRIPTION 5 SUBINVENTORY_TYPE 40 TASK 22 UNIT_OF_MEASURE 33 UNPACKED 12 USER_ITEM_TYPE 84 VALUE_IN_12M 85 VALUE_IN_24M 86 VALUE_IN_36M 82 VALUE_IN_3M 83 VALUE_IN_6M 89 VALUE_MVMT_12M 90 VALUE_MVMT_24M 91 VALUE_MVMT_36M 87 VALUE_MVMT_3M 88 VALUE_MVMT_6M 79 VALUE_OUT_12M 80 VALUE_OUT_24M 81 VALUE_OUT_36M 77 VALUE_OUT_3M 78 VALUE_OUT_6M 13 WIP_SUPPLY_TYPE Category Set 1 ROW 7 Category Set 1 Top Level ROW 6 ITEM ROW 3 ITEM_COST VALUE 10 SUM ITEM_DESCRIPTION ROW 4 MAKE_BUY ROW 5 ON_HAND VALUE 1 SUM ON_HAND_VALUE VALUE 11 SUM ORGANIZATION_CODE ROW 1 PACKED VALUE 4 SUM RESERVED VALUE 2 SUM STOCK_MVMT_12M VALUE 7 SUM STOCK_MVMT_24M VALUE 8 SUM STOCK_MVMT_36M VALUE 9 SUM STOCK_MVMT_3M VALUE 5 SUM STOCK_MVMT_6M VALUE 6 SUM SUBINVENTORY ROW 2 UNPACKED VALUE 3 SUM VALUE_MVMT_12M VALUE 14 SUM VALUE_MVMT_24M VALUE 15 SUM VALUE_MVMT_36M VALUE 16 SUM VALUE_MVMT_3M VALUE 12 SUM VALUE_MVMT_6M VALUE 13 SUM INV_Onhand_Dashboard_v4.xlsx US 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xl/worksheets/sheet3.xml xl/worksheets/sheet4.xml 1 0 Dashboard - Onhand Value and Aging KPIs 1 Item 2 (All) 3 ON HAND VALUE 4 STOCK LINES 5 STOCK LINES BELOW MIN 6 VALUE NOT ISSUED 12M 7 VALUE AGED OVER 365 DAYS 8 MONTHS OF COVER 9 Organization Code 10 Subinventory 11 Item Description 12 Category Set 1 Top Level 13 Last Issue Band 14 Min Max Status 15 Qty On Hand 16 Value On Hand 17 Qty Reserved 18 Item Cost (max) 19 Aging Days (max) 20 Issued <3m 21 Issued 3-6m 22 Issued 6-12m 23 M1 24 FGI 25 f80000 26 Sentinal Multimedia 27 COMPUTER 28 6. No Issues in 36 Months 29 4. No Min-Max Defined 30 Value 31 Aging Band 32 Stock Lines 33 In 3m 34 In 6m 35 In 12m 36 In 24m 37 In 36m 38 Out 3m 39 Out 6m 40 Out 12m 41 Out 24m 42 Out 36m 43 Receipts 44 Issues 45 KValue 46 KLines 47 KOut12 48 6. Over 365 Days 49 0-3 Months 50 3-6 Months 51 Grand Total 52 6-12 Months 53 12-24 Months 54 24-36 Months Show Movements Summary Y data A1 1 data AA1 1 data AB1 1 data AC1 1 data AD1 1 data AE1 1 data AF1 1 data AG1 1 data AH1 1 data AI1 1 data AJ1 1 data AK1 1 data AL1 1 data AM1 1 data AN1 1 data AO1 1 data AP1 1 data AQ1 1 data AR1 1 data AS1 1 data AT1 1 data AU1 1 data AV 3 data AV1 1 data AW1 1 data AX1 1 data AY1 1 data AZ1 1 data B1 1 data BA1 1 data BB1 1 data BC1 1 data BD1 1 data BE1 1 data BF1 1 data BG1 1 data BH1 1 data BI1 1 data BJ1 1 data BK1 1 data BL1 1 data BM1 1 data BN1 1 data BO1 1 data BP1 1 data BQ1 1 data BR1 1 data BS1 1 data BT1 1 data BU1 1 data BV1 1 data BW1 1 data BX1 1 data BY1 1 data BZ1 1 data C1 1 data CA1 1 data CB1 1 data CC1 1 data CD1 1 data CE1 1 data CF1 1 data CG1 1 data CH1 1 data CI1 1 data CJ1 1 data CK1 1 data CL1 1 data CM1 1 data D1 1 data E1 1 data F1 1 data G1 1 data H1 1 data I1 1 data J1 1 data K1 1 data L1 1 data M1 1 data N1 1 data O1 1 data P1 1 data Q 3 data Q1 1 data R1 1 data S1 1 data T1 1 data U1 1 data V1 1 data W 6 data W1 1 data X1 1 data Y 4 data Y1 1 data Z 5 data Z1 1 parameter A1 1 parameter A10 1 parameter A11 7 parameter A12 1 parameter A13 1 parameter A14 1 parameter A15 1 parameter A16 7 parameter A17 7 parameter A18 7 parameter A19 7 parameter A2 1 parameter A20 7 parameter A21 7 parameter A22 7 parameter A23 7 parameter A24 7 parameter A25 7 parameter A26 7 parameter A27 7 parameter A28 7 parameter A29 7 parameter A3 1 parameter A30 7 parameter A31 7 parameter A32 7 parameter A33 7 parameter A34 7 parameter A35 7 parameter A36 7 parameter A37 7 parameter A38 7 parameter A39 7 parameter A4 1 parameter A40 7 parameter A5 1 parameter A6 1 parameter A7 1 parameter A8 1 parameter A9 1 parameter B2 17 parameter B3 2 parameter B4 17 S Site Show Serial Numbers 5A3D098F0DDB14CEE0630100007F500C Dashboard - Onhand and Stock Movements Dashboard - Onhand and Stock Movements by Organization, Subinventory, Item Category, Make/Buy ERIC.CLEGG 14 ABC_CLASS_NAME 49 AGING_DAYS 47 AVAILABILITY_TYPE 15 Aging Band 38 COST_GROUP 24 COST_TYPE 19 Category Set 1 18 Category Set 1 Top Level 48 DATE_RECEIVED 56 INVENTORY_ITEM_ID 9 ITEM 25 ITEM_COST 11 ITEM_CREATION_DATE 10 ITEM_DESCRIPTION 35 LICENSE_PLATE_NUMBER 52 LIST_PRICE_PER_UNIT 6 LOCATOR 7 LOCATOR_TYPE 46 LOT_CONTROL 37 LOT_EXPIRATION_DATE 36 LOT_NUMBER 51 LPN_SUBINVENTORY_AGING_DAYS 50 LPN_SUBINVENTORY_DATE 16 Last Issue Band 20 MAKE_BUY 26 MATERIAL_COST 27 MATERIAL_OVERHEAD_COST 54 MAX_MINMAX_QUANTITY 53 MIN_MINMAX_QUANTITY 17 Min Max Status 23 ON_HAND 59 ON_HAND_ORG_SUM 60 ON_HAND_SUM 31 ON_HAND_VALUE 61 ON_HAND_VALUE_SUM 2 ORGANIZATION_CODE 57 ORGANIZATION_ID 1 ORGANIZATION_NAME 28 OUTSIDE_PROCESSING_COST 30 OVERHEAD_COST 42 OWNING_PARTY 41 OWNING_TP_TYPE 34 PACKED 44 PLANNING_ORG 43 PLANNING_TP_TYPE 39 PROJECT 32 RESERVED 29 RESOURCE_COST 21 REVISION 55 SAFETY_STOCK 45 SERIAL_CONTROL 8 STATUS 69 STOCK_IN_12M 70 STOCK_IN_24M 71 STOCK_IN_36M 67 STOCK_IN_3M 68 STOCK_IN_6M 74 STOCK_MVMT_12M 75 STOCK_MVMT_24M 76 STOCK_MVMT_36M 72 STOCK_MVMT_3M 73 STOCK_MVMT_6M 64 STOCK_OUT_12M 65 STOCK_OUT_24M 66 STOCK_OUT_36M 62 STOCK_OUT_3M 63 STOCK_OUT_6M 3 SUBINVENTORY 58 SUBINVENTORY_CODE 4 SUBINVENTORY_DESCRIPTION 5 SUBINVENTORY_TYPE 40 TASK 22 UNIT_OF_MEASURE 33 UNPACKED 12 USER_ITEM_TYPE 84 VALUE_IN_12M 85 VALUE_IN_24M 86 VALUE_IN_36M 82 VALUE_IN_3M 83 VALUE_IN_6M 89 VALUE_MVMT_12M 90 VALUE_MVMT_24M 91 VALUE_MVMT_36M 87 VALUE_MVMT_3M 88 VALUE_MVMT_6M 79 VALUE_OUT_12M 80 VALUE_OUT_24M 81 VALUE_OUT_36M 77 VALUE_OUT_3M 78 VALUE_OUT_6M 13 WIP_SUPPLY_TYPE Category Set 1 ROW 7 Category Set 1 Top Level ROW 6 ITEM ROW 3 ITEM_COST VALUE 10 SUM ITEM_DESCRIPTION ROW 4 MAKE_BUY ROW 5 ON_HAND VALUE 1 SUM ON_HAND_VALUE VALUE 11 SUM ORGANIZATION_CODE ROW 1 PACKED VALUE 4 SUM RESERVED VALUE 2 SUM STOCK_MVMT_12M VALUE 7 SUM STOCK_MVMT_24M VALUE 8 SUM STOCK_MVMT_36M VALUE 9 SUM STOCK_MVMT_3M VALUE 5 SUM STOCK_MVMT_6M VALUE 6 SUM SUBINVENTORY ROW 2 UNPACKED VALUE 3 SUM VALUE_MVMT_12M VALUE 14 SUM VALUE_MVMT_24M VALUE 15 SUM VALUE_MVMT_36M VALUE 16 SUM VALUE_MVMT_3M VALUE 12 SUM VALUE_MVMT_6M VALUE 13 SUM INV Onhand Quantities - Dashboard - Onhand and Stock Movements - Template - 20260901.xlsx US 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xl/worksheets/sheet1.xml xl/worksheets/sheet5.xml 1 0 Organization Code 1 Subinventory 2 Item 3 Description 4 Make Buy 5 Category Set 1 Top Level 6 Category Set 1 7 On Hand 8 Reserved 9 Unpacked 10 Packed 11 Stock Mvmt <3m 12 Stock Mvmt 3-6m 13 Stock Mvmt 6-12m 14 Stock Mvmt 12-24m 15 Stock Mvmt 24-36m 16 Item Cost 17 On Hand Value 18 Mvmt Value <3m 19 Mvmt Value <6m 20 Mvmt Value <12m 21 Mvmt Value <24m 22 M1 23 FGI 24 f80000 25 Sentinal Multimedia 26 Buy 27 COMPUTER 28 COMPUTER.DESKTOP 29 FGI Total 30 M1 Total 31 Grand Total 32 Row Labels 33 Onhand Qty 34 Onhand Value 35 (All) 36 OnHand Qty 37 OnHand Value 38 Qty 39 Value 40 Item Show Movements Summary Y data A1 1 data AA1 1 data AB1 1 data AC1 1 data AD1 1 data AE1 1 data AF1 1 data AG1 1 data AH1 1 data AI1 1 data AJ1 1 data AK1 1 data AL1 1 data AM1 1 data AN1 1 data AO1 1 data AP1 1 data AQ1 1 data AR1 1 data AS 13 data AS1 1 data AT1 1 data AU 13 data AU1 1 data AV1 1 data AW1 1 data AX1 1 data AY1 1 data AZ1 1 data B1 1 data BA1 1 data BB1 1 data BC1 1 data BD1 1 data BE1 1 data BF1 1 data BG1 1 data BH1 1 data BI1 1 data BJ1 1 data BK1 1 data BL1 1 data BM1 1 data BN1 1 data BO1 1 data BP1 1 data BQ1 1 data BR1 1 data BS1 1 data BT1 1 data BU1 1 data BV1 1 data BW1 1 data BX1 1 data BY1 1 data BZ1 1 data C1 1 data CA1 1 data CB1 1 data CC1 1 data CD1 1 data CE1 1 data CF1 1 data CG1 1 data CH1 1 data CI1 1 data D1 1 data E1 1 data F1 1 data G1 1 data H1 1 data I1 1 data J1 1 data K1 1 data L1 1 data M1 1 data N1 1 data O1 1 data P1 1 data Q1 1 data R1 1 data S1 1 data T 14 data T1 1 data U1 1 data V 3 data V1 1 data W 15 data W1 1 data X1 1 data Y1 1 data Z1 1 parameter A1 1 parameter A10 1 parameter A11 1 parameter A13 1 parameter A14 1 parameter A15 1 parameter A2 1 parameter A3 1 parameter A4 1 parameter A5 1 parameter A6 1 parameter A7 1 parameter A8 1 parameter A9 1 parameter B3 2 S Site Show Serial Numbers 80597DF65E7889A40F4BDF66B1079634 Dashboard based on Organization,Subinventory and Item ENGINATICS 28 AVAILABILITY_TYPE 19 COST_GROUP 29 DATE_RECEIVED 34 INVENTORY_ITEM_ID 8 ITEM 9 ITEM_DESCRIPTION 16 LICENSE_PLATE_NUMBER 30 LIST_PRICE_PER_UNIT 5 LOCATOR 6 LOCATOR_TYPE 27 LOT_CONTROL 18 LOT_EXPIRATION_DATE 17 LOT_NUMBER 32 MAX_MINMAX_QUANTITY 31 MIN_MINMAX_QUANTITY 12 ON_HAND 37 ON_HAND_SUM 2 ORGANIZATION_CODE 35 ORGANIZATION_ID 1 ORGANIZATION_NAME 23 OWNING_PARTY 22 OWNING_TP_TYPE 15 PACKED 25 PLANNING_ORG 24 PLANNING_TP_TYPE 20 PROJECT 13 RESERVED 10 REVISION 33 SAFETY_STOCK 26 SERIAL_CONTROL 7 STATUS 3 SUBINVENTORY 36 SUBINVENTORY_CODE 4 SUBINVENTORY_TYPE 21 TASK 11 UNIT_OF_MEASURE 14 UNPACKED ITEM ROW 3 ON_HAND VALUE 1 SUM ORGANIZATION_CODE ROW 1 PACKED VALUE 4 SUM RESERVED VALUE 2 SUM SUBINVENTORY ROW 2 UNPACKED VALUE 3 SUM INV Onhand Quantities - Dashboard based on Organization,Subinventory and Item Template.xlsx US 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PFgWV/TsNeqXJE3iSZKm4obrIw5TKh9FUQSts4Q8W0+mOX8+J7ykzJYpeD7HEbsomWyDfEvU52MLi6vyLpsRgBJefw5QoRp7/0B8MQNZ9gu8fmf9yoOFYCvZ5BmJ766oRgnjmqaVRTRJaMkuUMmuEAVwsXQOdewSfuYpuQX1S1NQ+ARUnqfDUCf0s67dUlSc6uWnClGsa+l5DkrhBJYJdTJxAwrdhRvazJk1c1AeQVWgSozqMIL4Tcjg3gKVgw4vBvCpJ4noy1psnpGWbMp1BdJRvxA/smUxnr+DlpWfT/UeF2MmGpiI30r1N8A0Ta4BonMyFVe6Bp+GgzroOhSBoZ4mHMJNKcQXxgdbSUHTKntD1Dj0uyZUIySD5Mv5XH5qu07mA6keZTuGFWhWrrG7As9hvjjV/5rlRspkdRhtZWAkM6JyKyMq1ZCV/SFeo3oI5zH/xryXOLo2kJU/I8asHCYwUpfk9gIvoMQ/8N2m7kDOR6QGscJq/nSI2FtAlAfPTjHdmX6FAYcApZsKzOsZVjPAh2nyebMqvOKKxUWDK62i8F1/Dcde1/EHljHyJqHhzr2u0Rv1LMO3bTd0e243GA5/u4fp7mNh2qohWupzLQJcSj2tcUqhTA0/GwosAKTGghZxWsRpEUfYci3i7LSMj4A4wiI8AuJoMPfbQdfv6lrE53qax787KX7BaBKme2sttdZSay211lK9Gt1enzktdilbvV3ptSs9uQRsV3ovY6UnXFdHsLta31LrW2p9S+t9gNa3tNeb3W0Rp/Vmt97s1pstN5J/b9f1CL4lbxNx0rx1ErVbau2WWrultmaz/AEg5LcgdE8uaPf1OY+i3ddv9/UblLpjglBjk1/yilLCBhQjyVG7IxVnqET9GaJhTVKC61GiaEQRSSVcLWADrABSnyQ8AF0wusaxzLpB9C4kKdlgtIGKS9LQNnmJ0BiryhX9gq0kKYy+w3N+NT9TfKtXw1eCaCVSIT9EwD4RjWAhbMcp8oWiKBRMg1dJ6gvIdDatMo3MgRym/R34XbyaG0l5ABYGZzetq5M34t2CQfLHe8E4E42y8/lbvAAOzc0mcyRCgjayq3sGr+z+q8Er56v76I3o3oP6RYkBX1+Q76psx8cCaYYNaeCh9ReT9NCQxPjsZwzkR5QKoe9TD/yqbrf3QOT793BSnpKMt0vKupN64ziBGYau0R15Y8M1e6ExHDu2Mfbtkd3zna4Thg3qjfdo6o3bYEd6/SpPPlW4Jgn+Ciwr8Wf0Bj3fcK2eYwyC0IIfcxJMJr1xELq/KXIdSL/N3lGKta1fSg8a+qVS9utX+HT9eodBjhv87RRMMkSfRmH8MRQs5OoeHlXBpMIoLX1Z2mM9TXs4BU5MiM+MKqjYeUK0BSr+lcRsqWiYVk/OtwRmixQVNdtazaJoVeNL13PsnhWozeiNdLfX9cT6A17TnPI5a3Q9/z+Y6iEygD5urlckngYWqZT9WDR6OhZ9yCFSAcySgye1zcn+Ke4g0dnbKPUNOEMvxhoYcbAaHRWsuO22aeN9hTVQZoTUGqU059kaCPbTIG7bQFCA0FBKlbJfKcdPV8qr76WSMhZjy3D4f1bJMVfJ8TdWSfOx5vlLUkjnaQr5EmwOGcyjbAvlqXwImRtGhdODP/noprHRDWw5L4KroWlgwCQ2EMvsfTZLGSEosBDGDk0gzEIEbUmhsiR/g1aq2saDsYio2ojHQKsroqLsZlI+MHaBs6fdrztPdbUcBR+cCC27SHKwIHgYjyiQof8S+j6Jrt9Av2xGPkFmku/PZFAIbMy1BDlMM+/Jpu93gyXH96J6XbvmK88hXBGoy1kBwpT5AmKM0gVE+vBwo6+J7bF2x/YEh8X2HAqbu9y5hqeWu0cLntgfeiVjl55xiJW3+zM4h30GHsH6XEKseIhsOVCBibDkWC8tIGqYZ0EYpgxEhDi4XzBVI5/fbYBLOksHMLBlGh/cMnp2lkL4WYlrF58MSwP9JW+qlCUXNymoVkPXAWHWoAI17UCXhnjHRxflIxVg8TNNYo52cnGp6LByafGytRv6+GEDnzOgPoqJ2CJXI3h4V3Doj4tcDWfJF5BLZA0xu8VYodVM3ihTZA07e/CnNoYAFI5u3SjUPIYywoaQsnyOaty0unjMQO0fVxcba4kNXcykya9si0PUcPcio1H/U9VQrRC+zSLj6Wr4wD67B6Dva5/VNtHXhgjxPdzmJrYI8xdGo7haL7gUKEpv+dYhAM88Sqld4Hz3MyS4z2I9svh4+5iUl3mqxpHS/TgpiyGcRXFdDtRqB7Zs1BIfoiRHfI+Jn0QCDosNx8Quj3PXG/bGoTUynKALW9KWGxg905oYfjAKTNP2fT80m1vS1Hn0prTfMZ3mvjR1+NlFaAStAA25LMTxSJYHugTHIkEepL9Fg1K0sLFo66jsnUXlQRPbW9brA3AOObpmtthzbM3LX0PVJ5TUrNtD/BXqtAF5SswjzkApaJKzKWbgMliIxegSI6DeTGD/A1MxlxZogcGvtUjyUhw3c8KD5fkRVic+nHyj/vODdkSGLM7vHB08aLwWebOuC15WFdLf9+DlFexGTJeoALcABU4QxOOfx6roLm3wA2vg+F3PCN2hbbjhIISzUTzPcCfBcBR4jj+yvIY2HOMIK3H+iVICrgJuP6ak+AX4eXBQEjS26bZoZMLBMXjBvZQKASQ0NB4YgZ7sKQuHy2yWA9Vy5UFXa0FqhWqeHDO2g3FohgNjYg6H0DtAXwn83siYBL5vD4Pe2B8ck77SFEjBg9g2H68KoFYB9Qt2o0voJZzGw4oxAJEttNhoEq/hCyghTps7+x9QSwMEFAAAAAgARgs9XTZqxfwHCwAAJ1QAABQAAAB4bC9jaGFydHMvY2hhcnQyLnhtbO1cW3PbuhF+70z/A8vJW0uLN5GSJvYZibISJ07sRs7pzOl0OhAJyaxJggFBR86Z89+7uFCiZCq+KY2TMg+OCIAgsMR+3AW+3Ze/LNNEu8a0iEl2qFsHpq7hLCRRnC0O9Y8XE6OnawVDWYQSkuFD/QYX+i9Hf/7Ty3AQXiLKpjkKsQadZMUgPNQvGcsHnU4RXuIUFQckxxnUzQlNEYNLuuhEFH2GztOkY5um1xGd6KoD9IgOUhRn1f30PveT+TwO8ZiEZYozJkdBcYIYSKC4jPOi6i20PGrf6jGNQ0oKMmcHIUk7srNqUtCZ1e2sZnUEQooQw1bfdLVrlBzqpt7hhQnKFrIAZ8bHqSykpMwiHAWEZvA6au3TcDBMGKYZdBWQjMGolbzSe0k8RfSqzA0Ybg6TnMVJzG7EtPWjl9B3cElgCtoH/KmMKS4O9dBy1yJwHyoA0+/0OrZ6rzAvyx0U7CbBckKWafPZdlbPFUOYoCSZofCKi6HWeNV0Xc9v3BYGvyuPrwmbkpKGmF9mKMVH/zx5/6t2ll3C4tX+XqKMxSzGhWZoY1RczgiikTZDBY40kmlndIGy+ItYBH+blrM4uwYxE3qj8btPGE410zGmODds0/Y003UcxztYJsXyX+f80cVfxH8XaJZg+2VHjQBGMk/ZSSTn7oqZ3xqr0AA+aFQychGzBI9xghmMq75kxAQnKStWs4UL/juOlhsNi/ycHr1Eg4IkcTSJk0RccH3EQUJlUxSGMDtLjGerZZLx9hnhd8pqWYLncxyy04LJOcinhAO+trD4VdykMwJQwvvPACrUZNcNotMZjGX3gFfPrB5570GwpZzyjEQ351SjhHFN04o8nMS0YKeoYOeIArhYOoc6dgZ/5gn5DOqXJKDwMag8L4elTugXXftMUX6oF59KRLGuJScZKIXTs0zok4kLUOguXNB6zaxeg7IQugJVYlSHFcQvAgbXFqgcCDwfwquexEKW1bB5RVKwKdcVKEeDXPyRM4vw/APMrPhyqPf5MGZigrH4Wyp5A0zT+AogOiNT8UvX4NVwUAddh1tgqScxh3BTDuIr64Mt5UCTMn1H1Dr0uyZ0I0YGxWfzuXzVdlXMF1K1yhqWFWhWprGbHM/he3Go/zXNjITJ7jDaqsBIVoTFVkVYqCUr5SEeoySEs4i/Yy4ljq41ZOVtxJqVywRW6iX5fIoXcMdbfLOpO1DzK1KLWGE1bx0g9h4Q5VbbKaaN5ecYcAhQuq7AvJ9ROQN8mMZfNrvCS65YfGjwSyspvNffg2Ov6/hDyxh7k8Bw517X6I/7luHbthu4fbfbG43+WMN096EwbVUQLfW5GgL8lHpa4ZRCmQp+NhRYAEiFBS3itIjTIo6w5VrEabSM94A4wiLcA+Jo8O23e12/q2sh/9bTLLrzo/gVo0mY7o+2lsKYhomwl2Bmq29D96FTdZrNOT7Vftfu3nN+Db183QaED0Vr47U2HjcLWxvv57PxBB60iNvoQEuH/pYD/UDEbeilRdzK32696tarrnz2/xOvWuDBHhC33cdr9/HafbzVmUu7j7fz5ODBrmZ7ctCeHDSfLLUnB+tT3hZxdiKOt2njJNmz2pBrjy/b48vN89F2a+snPL70WxBaEzlaDgXnrLQcipZDUaMv3sX1e8iJZo1QITlcCWFDipHkA96QkrOBwsEM0aAihMHvcawoWyFJJFwt4LAxBwKlJJeESVkANRBHsvIa0ZuAJGSDPwhKLila21QxQiOsuldkF7aUFDz6Ac/5r/mRYre9eP3C4pwQUQr1AQKuj5gGC+DwU1FdFCEkZxo8ShKNYExH0zLVyByoeNprYNPxbq4lwQQ4L5xLtupOXohnC77O/34fjPP+KDuZv8cLOM263uTphEiQdJrE8+qFPXjx6oV/t4yUs70to8mrk03BcPFIMXIuFhfZJImm1+GuVnbVavrvC1qGV96uhs5WQzHm9QtZP9dVDT+cnN/7nSkRwdoUNMwybVhIIKnXNUlBo9VqkkThgET46BUGGixKhEDXpdsrboc0zbtkaTn9uwTp9u6SoLvzMZXobEeQQTeW+3q+nCaqJMQbSZk1ksEcp2cGgWt0x96x4Zr9wBgdO7Zx7Ntju+87XScIamQw78FkMLfG1/UGZRZ/KnFFW/0deH/in9HvOvzpx44xHA77huVawdgcHlvjYPiHonvC6Lf5ZAp8tjFIYUUNg1TJbgw6eToGfcAwjmv87UBIcpafRqptQehbg9AJh+uTvYKQVGaFZD+WZltP02xOGBUmzTMj1iouqxjaAuX/iCN2qUjLVl/aSwS+9gnKZalhK48QLSvs63qOY3m+ar1Rbvtd2Qs8pm60cY71yoLbNNZkHA19mK2mKG81nFQlu3HyzdNx8mMGcT1Xj8bJp2zoNfLYnsawa9zQa625Oy3wu625NxxI3+wVSNfYX/kPP7A1V6SEVKijfKxna+DZT/sMbBt4ijlWAy5Vshu43j4duM6/F2w1ksFa2NrhW35nJ/Qth6233xu2duJa5cvvbFCJ704HdKvB3UbqjwRYztMA60ewWyW1XsXOqvOK25+ULcO076htkc3ynu8JAxcWwYaRCl/5odhq22X3FiGCGxbCYKYxBLaJMFk5qDTO3qGl6rbWMBIxrBsRcGh5TlRc80xOBRwmiC/T1vs7h7ra9oGdeBHMexpnYIXyPTBxQ4r+Q+hFHF69A7lsxppCZZztrmRwE/gpqxFk8Bm+IJsnQBsRqCsWr4wQmcMRIASLpDkMpsgWENWZLCC2kgd4Piaa0mqOpuzdL5ryvp+VpkMdw1PbOXsLV9sd7CqjRZ9xUKvX/Bqc+72G53QqzJMSFEMVCg5u68o9hTwNvAoC32XoN0Qe/4apWvn8agNcklkyhIWtDhdgcct8BbMEAn4LXG3zy0Bg0F/yrkxYfHqdgGrVdB0QZgUq8NQGdKkNb//ook5KBFi8onHE0U5uUKhgYemeiqioH1a7RdzV9gSfM6A+iI/cIlctXUMTqe7nRa7ahttXkEtUjTD7jLFCq5m8UKbICnZ24E9lDAEo7N26Uai5D2WEY2Fl+ezVuGl1cZ+pMX5eXbT9lS+xoYupNPmVbXEfNWx2Mmr9P1UNlYfwbZyMp6vhLftsDUDf1z6rbKLHpt/hPI46lUUkVhFGo/i1crgUKMoTl620K8ose+wQqtQu3yoDUOvgfPesPXzPYrWy+Hr7NS7OskStI6X7UVzkI8j+c1UMlbcDx37KxYfI7DE/p+S5n2DDYmNjomlHvuuN+seBNTacXhdID5bbM/qmNTH83rhnmrbv+4FZp1xQ58GkC79jOnXeBXV4tjg0hlmAhpzlIiGd5YEuQSI6qIPy92hYiBnWnLaOqm68Vab22aZkrFKO3SdZ2GyxI9znx/ehtoHjPvsVKr+LzMv1gKxTOY0zNsUM8mAthDN6iRHQ7yZwPoSp+JbmaIFhX2sRZ4VI8HXA05PwcJIDH3KNqf95ajNRIW/nV44OO2i8F3mx6gseVuZyv+/Ww0s4rZleohy2BSjwAiEDykmkbm3SBr9nDR2/6xmBO7INNxgGkI3K8wx30huNe57jjy2vpg37SBooMk4pJeAq4A4iSvLfgKULqelgsvVti1olpOrCC75LqRBAQkOtwRj0ZMe9kM5r8z5QLVemFlwNpFKoeq6uY7t3HJjB0JiYoxFIB+hZPb8/NiY937dHvf6xP9wnPas+IAUPgnpxvMyBXwD0T2A0FCAlnESjkjEAkS202JgS7+ErKCHyex79F1BLAwQUAAAACABGCz1d+28aenQKAAC/TgAAFAAAAHhsL2NoYXJ0cy9jaGFydDMueG1s7Vxbc5tIFn7fqv0PDJW3XSxuAkkVe0pC1oxrfUuUZKtmax9a0JJYA02axpEzNf99Tl+QQZYT2VYydpY8OIKG5nTT38fp09/p1z+v0kS7xrSISXaoWwemruEsJFGcLQ719+8mRk/XCoayCCUkw4f6DS70n4/+/rfX4SBcIsqmOQqxBpVkxSA81JeM5YNOpwiXOEXFAclxBmVzQlPE4JAuOhFFn6DyNOnYpul1RCW6qgA9ooIUxVl1P93lfjKfxyEek7BMccakFRQniEEPFMs4L6raQsuj9p0a0zikpCBzdhCStCMrqxoFlVndzrpVR9BJEWLY6puudo2SQ93UO/xkgrKFPIEz4/1UnqSkzCIcBYRm8Dpq16fhYJgwTDOoKiAZA6tVf6U79XiK6FWZG2BuDo2cxUnMbkSz9aPXUHewJNAE7S3+WMYUF4d6aLm3XeA+tANMv9Pr2Oq9Qrssd1CwmwTLBlmmzVvbWT9XmDBBSTJD4RXvhtrF60tvy/mNm53B78rja8KmpKQh5ocZSvHRf07OP2gX2RIGr/amRBmLWYwLzdDGqFjOCKKRNkMFjjSSaRd0gbL4sxgE/5yWszi7hm4m9Ebjd58wnGqmY0xxbtim7Wmm6ziOd7BKitV/L/mji5/Ef+/QLMHO646yACyZp+wkkm13Rcvv2CoQwI1GJSPvYpbgMU4wA7vqQ0Y0cJKyYt1aOOC/42jVuLDIL+nRazQoSBJHkzhJxAHHIw4SKi9FYQits4Q9G1cmGb8+I/xOWSzP4Pkch+y0YLIN8inhgI8tLH4VN+mMAJXw+jOgCtXY2wui0xnYcr/B62dWj9zZCLaSTZ6R6OaSapQwjjStyMNJTAt2igp2iSiQi6VzqmMX8GeekE8AvyQBwMcAeX4ehjqhn3XtE0X5oV58LBHFupacZAAKp2eZUCcTBwDoLhzQesmsXoKyEKoCKDGqwwjiBwGDYwsgBx2eD+FVT2LRl5XZvCAp2JRjBc6jQS7+yJZFeP4WWlZ8PtT73IyZaGAs/paqv4GmaXwFFJ2Rqfila/BqOKkD1uEWGOpJzCnclEZ8YXywlTQ0KdMzosah3zWhGmEZnL6Yz+WrtqvTfCBVo2zLsAJkZRq7yfEcvheH+j/SzEiYrA6jjQKMZEFYbBSEhRqysj/EY1QP4Szi75j3EmfXGrPya8SYlcMERuqSfDrFC7jjX/imiR0o+YDUIFZcza8OEDsHRrlz7RTTrecvMfAQsHQdwLyeUTkDfpjGn5tV4RUHFjcNfmklhff6e3DsdR1/aBljbxIY7tzrGv1x3zJ823YDt+92e6PRH7c03X0oTVsVRUs8VybAT4nTiqcUy1T00wCwIJCKC1rGaRmnZRzhy7WMs9Uz3gPjCI9wD4yjwbff7nX9rq6F/FtPs+irH8UvOE3CdW+9pdZbar2l1luqZqOb8zOn5S7lq7czvXamJ6eA7UzvZcz0ROhqD35XG1tqY0ttbGm9DtDGlu6NZndbxmmj2W00u41my4Xkr6267iG25DUZJ8naIFG7pNYuqbVLams1y3cgIb8loVtxQbuuz3UU7bp+u65fk9Ttk4Rqi/xSV5QQNqQYSY3aDSm5QiUczBANKpES/B7HSkYUkkTS1QIWwHIQ9UnBQ5iUBcjVcCQLrxG9CUhCGpo2ALmUDW3KlwiNsKpeCTDYSsrC6Fs857/mR0px9er8lcV1CuIslAcI9CeiGSyABTklv1AihZxp8CgpfgGbjqZlqpE5yMO0X0Hhxau5lqIH0GFwfdO6Onkgni00JN8/Dsa1aJSdzM/xAlQ0103tSIiEcGRb95y9sgevzl4JOdqj+ig4sxzL6e/cOcoWGARCg1emW94YmHReMwkuWr82qRINSISPfsGggUSJsPz27I6v1u3eNfn2OVybpyzjL13aulWB4zg9Mwhcozv2jg3X7AfG6NixjWPfHtt93+k6QVBT4HgPVuC4NZGkNyiz+GOJK63g7yC2Ev+MybFvGm7gTYz+yBsabhfWrV3n2HLHzh9KYwfWb4p4FLo2QabAUAOZOnM/yC6eDrK3GOy4xt8OZVIo+jQl4w+EsgsO/Iu9okyiRkH1ZUHIehqEuBxOfByfmWxQKfWEaQuU/zuO2FJJMq2+/PIS+G4kKJdnDVvNLdCqIhkbxJuu4/qKA5oFjsnlMVIdWHcAuIZ07Q00P/wyT4A+7LuvJD01SlJn7qeky6dT0vsM8hauHk1JTwkOCR3AJll9AwXRy/IMLjlnXe6Vs7gz13T6HuEZFCkhFbCUQ/psnQX7aUy36SwowUoNmerM/ch883RkXv5VuJTpGRtOxP89Lt9wXL75xrg070wxvuJsvCRUOk9D5UvwP2SSj8rwUhHMu7x56184XdezPa/Xk9fWHA/LMW2n1/cE1YLn0fA24Is2FPPve12YIkRwx0I4PzSGFAyR0CUNS+PsDK1UvbULI5Ft1cjVQKtLojLwZtJEGI+g59NuJ6OHupqjQnxOpJ2dxhn4EzzFR9yQov8R+i4Or86gb5pZUVAYZ/cXMrgJfM61BRl8b96RZly4oaDj61T9rl1pmeeQygiy5jQHY4psAflHyQKygHgq0mPyfqzteT+93fJ+duXPbaFew1Nz4L0lVtyfliXzmp5x+pW3/TU4u70Gnt36XNKvePpsMVRJi3wKsp5pQEoxL4McTZmlCElyv2Gqhj4/ajBMMkuGMLJVzBFGt0ytnSWQm1bgKvonc9YAwOSsTFh8ep0AtmpgB45Z0wo8dRu/1OzbP7+oCKqgi19oHHHCk9NNJZaVU42XjW/o5LsNfM6U+iCdYstdtdTibamjPzB31cInX+AuUTTC7BPGiq9m8kB5I2vi2cZADZcIeGHvLo5izn3gEVaMlPuzVw+nheM+M7l/UDhuTCoacEyl468cjF2QuGWusfGApwJxHXX9FnONpwOx6aZtkNB3cMYq/+exyUJ8Lbe+nC0S/oWHKH6tO12xn4yVb2wH8MzzldrpzF++mwQPUaxHFh9vH+LiIkvUOFIQj+IiH8GuFFfFUE1tYMFGTeghX3LMV5j4niQQnmiEIbYFmrveqH8cWGPD6XVhVdpye0bftCaG3xv3TNP2fT8w66vS1HnwurTfMZ360jR1+C5GaAytAIRc5GKjJMsDLMEGSVAG58/RsBAtrM3QOqp4661yy4nNVev1Vji7bGIzW9yzgc3Lny9Ve5VU+ttdohNq3wG5X8wDdkPJaZyxKWYQIFiIiecSI5DgTGDZA1PxzczRAkMUaxFnhdh45oCnzfPNrA582ANH/c+33BEF8nZ+5OgQL+O1yIN1XfCwMpfhvTsPL2ERYrpEOcQAKGiDIDP/JFK3bkOD37OGjt/1jMAd2aCSGAawS4rnGe6kNxr3PMcfW14NDfvYzErshKJAwCHgDiJK8t9AqQdbJkFj6zGKWiFsIYMXPCapGEBSQ+2CMeDknnthm5nmfQAtV255tTakAlR9D5lju3ccmMHQmJijEfQOKFh6fn9sTHq+b496/WN/uE8FS90gRQ9i0fx4lcO6MEjAYC26gF7CSTQqGQMS2WCLRpN4DV9gCbHv3NGfUEsDBBQAAAAIAEYLPV0cFKeo9gAAAG4DAAAVAAAAeGwvY2hhcnRzL2NvbG9yczEueG1spZNBbsIwEEWvEvkAcRIgrSLCpuuKRU8wmtjEku1Btkvh9rVDoQ0tkUi9s7/+m/9H8hp9g6TJvYWTFtnRaBsffMv6EPYN5x57YcDnRqEjTzLkSIaTlAoF7xx8KLvjVVFWHHtwYaCwLwz8otBe2DhCkjMQfE5ud2EYHSlFzQ0oyzIjQt8yPGGCqa5lZcE2a2iGNOJFu+wAumWAKGwoGb+rVRPaYkJbTmirCa1OWlzpAZyCoMjeXFNQ/W5eqTs3qIt4kof/NI0Rt57ni2dAbaU8o+L65qMeGH+NPB6/nDF+NcPz9Hf7xX9QD7S/Rh63v9ckkb+/1+YTUEsDBBQAAAAIAEYLPV0cFKeo9gAAAG4DAAAVAAAAeGwvY2hhcnRzL2NvbG9yczIueG1spZNBbsIwEEWvEvkAcRIgrSLCpuuKRU8wmtjEku1Btkvh9rVDoQ0tkUi9s7/+m/9H8hp9g6TJvYWTFtnRaBsffMv6EPYN5x57YcDnRqEjTzLkSIaTlAoF7xx8KLvjVVFWHHtwYaCwLwz8otBe2DhCkjMQfE5ud2EYHSlFzQ0oyzIjQt8yPGGCqa5lZcE2a2iGNOJFu+wAumWAKGwoGb+rVRPaYkJbTmirCa1OWlzpAZyCoMjeXFNQ/W5eqTs3qIt4kof/NI0Rt57ni2dAbaU8o+L65qMeGH+NPB6/nDF+NcPz9Hf7xX9QD7S/Rh63v9ckkb+/1+YTUEsDBBQAAAAIAEYLPV0cFKeo9gAAAG4DAAAVAAAAeGwvY2hhcnRzL2NvbG9yczMueG1spZNBbsIwEEWvEvkAcRIgrSLCpuuKRU8wmtjEku1Btkvh9rVDoQ0tkUi9s7/+m/9H8hp9g6TJvYWTFtnRaBsffMv6EPYN5x57YcDnRqEjTzLkSIaTlAoF7xx8KLvjVVFWHHtwYaCwLwz8otBe2DhCkjMQfE5ud2EYHSlFzQ0oyzIjQt8yPGGCqa5lZcE2a2iGNOJFu+wAumWAKGwoGb+rVRPaYkJbTmirCa1OWlzpAZyCoMjeXFNQ/W5eqTs3qIt4kof/NI0Rt57ni2dAbaU8o+L65qMeGH+NPB6/nDF+NcPz9Hf7xX9QD7S/Rh63v9ckkb+/1+YTUEsDBBQAAAAIAEYLPV3VLRgxoQQAAMIlAAAUAAAAeGwvY2hhcnRzL3N0eWxlMS54bWztWuty2joQfhWPHiAGckgIEzKTk0xnzgxpM21n+lvYMqiVJVcSJeTpu5Iv+EogYDek5x9aG0n77erb1a6vPTX2FljqL3rNiPMUMg4CNUELraOx6ypvQUKszkLqSaFEoM88EboiCKhHXF/iFeVzd9DrD9zNLCiZBldmERHhsEQgZIi1OhNyns4RMpild+GGmHLkUH+CYFJ0cw3bw09UfaWaETti/DMJ4IWnCeoh14oCylhFSIKAeLr6ruAbYUi5kLAIHls1yR2Tzi/MJkg/mbXxmC3DB+HHsothr2dXtOJPQRCLz1Oxm5vl5to1+4rXsnv0SfD5UTrqeYL6Zh7nB5EcfoPSZk7zelFPD2syF3J9C9qfsuIqepQWM+6sJuhqOBgix8PRBAUMa/gZRmBrxefIwWwOiHg6sYhg1P8Alt3RPP1684wazAPGyi8gxZL7xg5mo7E54o0XTXdVb7mKrexZuJUEO6Hw4TBhxsTqozDqfPpFpKQ+AXWtbEo5SWWxv3fm4Ynf5d00tVYBnNLhmM371mVLEL4LAzedzcygsUdgjad4RsA3u7RXmZEu611+sDcjNbh1Uc1sdGc8d6m7093/cWw23sXNmW5wc0tIW9ipbruZTYrBI7NgKXgUFtifk8ApZ8JfQ7yRQps46ajI+0Cl0lOs9COWEJn7yAEm0oZ6AiAiIF5GI+QshHwuy8x7EMrhCXJW0nC3+rnEkiCH/ceB3c4vhpcXyNF20B8NRiPkyPyTWf4J5h5MFRO9Ew/uNIxjG6vodqmBKHVCTrEeMSPXeqARPgrKd/PHJKVQJtnJoj2GFdMgnOQS1rkPTiHKBJsqsdlvtvvz+53O0xvaf7LjTAMTyKo6WEkz3DbWVZM4e/LasEAW19OEZDAaXqYZieR+7INbDne0ALepC3+NGUTB6BlIGWwPWEIqeDzgXgC8Vf+uoGvTvVdCWqG9ApA52EpQTvEaopOj1uFMQH7uUekxoCpFn8kEDRPHyv7zjUoSSByeoOvmcukOPLcIlMHvK56d9p0szQK4Tczjm907vqUUbeaLFf8X1xBPW3dqkxa98sZxhASw+bLyEj0doRawPZ2zvJazhi9FVB9M2zKNUXGLado+FFkJpZgcZwWXbckxHm8PvHks4eItZKc+/4eB3bNktWtNxDhsAUu4QIgOmeQFVAt0bk53JqhNKTabn0NdhkEW+4C/vyF12j59LRXOjJNUAc0kpvK6040nLfIe/TJWn6y2Upusr9NcHViaLCCc4bmgU1tT/GvA3bMKtg/JFbEk2Cfyr4K2xcDMSmiSOeF+tz7bWoOnoZzKNjpGTJxee8DwTbpxa6l0cH5/Um2OvB5JEUsRSYk69VZbrsfY4IIlPePh/5SWa+4ecNcooanfU8v6H9P4nNlWQq5xbdoKVjbDipjMOenJmxO2UV9LoHbz9FhFzu5Swv5Vbwjq2X71QTW2CHov91gt4m8G1FrdC51UkYv9ZgtdAbBs9AY6jnteKJu/gWjgpxpdl1GnN/YDqlSNDcPsw4fXlJoOuZ7V3nc3gIIvLsn7D3pFNVfQve42z9xSWduzVBHv3VDE5mOrm99QSwMEFAAAAAgARgs9XdUtGDGhBAAAwiUAABQAAAB4bC9jaGFydHMvc3R5bGUyLnhtbO1a63LaOhB+FY8eIAZySAgTMpOTTGfODGkzbWf6W9gyqJUlVxIl5Om7ki/4SiBgN6TnH1obSfvt6tvVrq89NfYWWOoves2I8xQyDgI1QQuto7HrKm9BQqzOQupJoUSgzzwRuiIIqEdcX+IV5XN30OsP3M0sKJkGV2YREeGwRCBkiLU6E3KezhEymKV34YaYcuRQf4JgUnRzDdvDT1R9pZoRO2L8MwnghacJ6iHXigLKWEVIgoB4uvqu4BthSLmQsAgeWzXJHZPOL8wmSD+ZtfGYLcMH4ceyi2GvZ1e04k9BEIvPU7Gbm+Xm2jX7iteye/RJ8PlROup5gvpmHucHkRx+g9JmTvN6UU8PazIXcn0L2p+y4ip6lBYz7qwm6Go4GCLHw9EEBQxr+BlGYGvF58jBbA6IeDqxiGDU/wCW3dE8/XrzjBrMA8bKLyDFkvvGDmajsTnijRdNd1VvuYqt7Fm4lQQ7ofDhMGHGxOqjMOp8+kWkpD4Bda1sSjlJZbG/d+bhid/l3TS1VgGc0uGYzfvWZUsQvgsDN53NzKCxR2CNp3hGwDe7tFeZkS7rXX6wNyM1uHVRzWx0Zzx3qbvT3f9xbDbexc2ZbnBzS0hb2Kluu5lNisEjs2ApeBQW2J+TwClnwl9DvJFCmzjpqMj7QKXSU6z0I5YQmfvIASbShnoCICIgXkYj5CyEfC7LzHsQyuEJclbScLf6ucSSIIf9x4Hdzi+GlxfI0XbQHw1GI+TI/JNZ/gnmHkwVE70TD+40jGMbq+h2qYEodUJOsR4xI9d6oBE+Csp388ckpVAm2cmiPYYV0yCc5BLWuQ9OIcoEmyqx2W+2+/P7nc7TG9p/suNMAxPIqjpYSTPcNtZVkzh78tqwQBbX04RkMBpephmJ5H7sg1sOd7QAt6kLf40ZRMHoGUgZbA9YQip4POBeALxV/66ga9O9V0Jaob0CkDnYSlBO8Rqik6PW4UxAfu5R6TGgKkWfyQQNE8fK/vONShJIHJ6g6+Zy6Q48twiUwe8rnp32nSzNArhNzOOb3Tu+pRRt5osV/xfXEE9bd2qTFr3yxnGEBLD5svISPR2hFrA9nbO8lrOGL0VUH0zbMo1RcYtp2j4UWQmlmBxnBZdtyTEebw+8eSzh4i1kpz7/h4Hds2S1a03EOGwBS7hAiA6Z5AVUC3RuTncmqE0pNpufQ12GQRb7gL+/IXXaPn0tFc6Mk1QBzSSm8rrTjSct8h79MlafrLZSm6yv01wdWJosIJzhuaBTW1P8a8Ddswq2D8kVsSTYJ/KvgrbFwMxKaJI54X63Pttag6ehnMo2OkZMnF57wPBNunFrqXRwfn9SbY68HkkRSxFJiTr1Vluux9jggiU94+H/lJZr7h5w1yihqd9Ty/of0/ic2VZCrnFt2gpWNsOKmMw56cmbE7ZRX0ugdvP0WEXO7lLC/lVvCOrZfvVBNbYIei/3WC3ibwbUWt0LnVSRi/1mC10BsGz0BjqOe14om7+BaOCnGl2XUac39gOqVI0Nw+zDh9eUmg65ntXedzeAgi8uyfsPekU1V9C97jbP3FJZ27NUEe/dUMTmY6ub31BLAwQUAAAACABGCz1d1S0YMaEEAADCJQAAFAAAAHhsL2NoYXJ0cy9zdHlsZTMueG1s7Vrrcto6EH4Vjx4gBnJICBMyk5NMZ84MaTNtZ/pb2DKolSVXEiXk6buSL/hKIGA3pOcfWhtJ++3q29Wurz019hZY6i96zYjzFDIOAjVBC62jsesqb0FCrM5C6kmhRKDPPBG6IgioR1xf4hXlc3fQ6w/czSwomQZXZhER4bBEIGSItToTcp7OETKYpXfhhphy5FB/gmBSdHMN28NPVH2lmhE7YvwzCeCFpwnqIdeKAspYRUiCgHi6+q7gG2FIuZCwCB5bNckdk84vzCZIP5m18Zgtwwfhx7KLYa9nV7TiT0EQi89TsZub5ebaNfuK17J79Enw+VE66nmC+mYe5weRHH6D0mZO83pRTw9rMhdyfQvan7LiKnqUFjPurCboajgYIsfD0QQFDGv4GUZga8XnyMFsDoh4OrGIYNT/AJbd0Tz9evOMGswDxsovIMWS+8YOZqOxOeKNF013VW+5iq3sWbiVBDuh8OEwYcbE6qMw6nz6RaSkPgF1rWxKOUllsb935uGJ3+XdNLVWAZzS4ZjN+9ZlSxC+CwM3nc3MoLFHYI2neEbAN7u0V5mRLutdfrA3IzW4dVHNbHRnPHepu9Pd/3FsNt7FzZlucHNLSFvYqW67mU2KwSOzYCl4FBbYn5PAKWfCX0O8kUKbOOmoyPtApdJTrPQjlhCZ+8gBJtKGegIgIiBeRiPkLIR8LsvMexDK4QlyVtJwt/q5xJIgh/3Hgd3OL4aXF8jRdtAfDUYj5Mj8k1n+CeYeTBUTvRMP7jSMYxur6HapgSh1Qk6xHjEj13qgET4KynfzxySlUCbZyaI9hhXTIJzkEta5D04hygSbKrHZb7b78/udztMb2n+y40wDE8iqOlhJM9w21lWTOHvy2rBAFtfThGQwGl6mGYnkfuyDWw53tAC3qQt/jRlEwegZSBlsD1hCKng84F4AvFX/rqBr071XQlqhvQKQOdhKUE7xGqKTo9bhTEB+7lHpMaAqRZ/JBA0Tx8r+841KEkgcnqDr5nLpDjy3CJTB7yuenfadLM0CuE3M45vdO76lFG3mixX/F9cQT1t3apMWvfLGcYQEsPmy8hI9HaEWsD2ds7yWs4YvRVQfTNsyjVFxi2naPhRZCaWYHGcFl23JMR5vD7x5LOHiLWSnPv+Hgd2zZLVrTcQ4bAFLuECIDpnkBVQLdG5OdyaoTSk2m59DXYZBFvuAv78hddo+fS0VzoyTVAHNJKbyutONJy3yHv0yVp+stlKbrK/TXB1YmiwgnOG5oFNbU/xrwN2zCrYPyRWxJNgn8q+CtsXAzEpokjnhfrc+21qDp6GcyjY6RkycXnvA8E26cWupdHB+f1JtjrweSRFLEUmJOvVWW67H2OCCJT3j4f+UlmvuHnDXKKGp31PL+h/T+JzZVkKucW3aClY2w4qYzDnpyZsTtlFfS6B28/RYRc7uUsL+VW8I6tl+9UE1tgh6L/dYLeJvBtRa3QudVJGL/WYLXQGwbPQGOo57Xiibv4Fo4KcaXZdRpzf2A6pUjQ3D7MOH15SaDrme1d53N4CCLy7J+w96RTVX0L3uNs/cUlnbs1QR791QxOZjq5vfUEsDBBQAAAAIAEYLPV2BxV69xAAAADUCAAAjAAAAeGwvZHJhd2luZ3MvX3JlbHMvZHJhd2luZzIueG1sLnJlbHO9kc8KwjAMh++C71Byt90miIjdLiJ4FX2A0GV/cGtLU0Xf3oIICqI3TyEJ+X4fZF1dx0FcKHDvrIZcZiDIGlf3ttVwPGxnSxAc0dY4OEsabsRQldPJek8DxnTEXe9ZJIplDV2MfqUUm45GZOk82bRpXBgxpja0yqM5YUuqyLKFCq8MKN+YYldrCLt6DuJw8yn5N9s1TW9o48x5JBs/RCjTYYgJiKGlqEHKx4QfZS6TLKjPHsX/PIpvHvn/PPKnh3p7dnkHUEsDBBQAAAAIAEYLPV0k45mDvwMAAJgIAAAYAAAAeGwvZHJhd2luZ3MvZHJhd2luZzEueG1snVbbbts4EH0PkH8g+FzZkixfYkQufFMRoGiLTfZl32iJighTpJZkfGnRf++QohzbCfbSF4sczpwhzxkOff/xUHO0o0ozKVIc9UKMqMhlwcRziv98yoIJRtoQURAuBU3xkWr8cXZ7c38o1HSvVwoBgNBTmKa4MqaZ9vs6r2hNdE82VMBqKVVNDEzVc79QZA/QNe/HYTjq60ZRUuiKUrNqV7DHI7+BVhMm8MztzOzlknI+F3klFaIFM3OdYjiBtXqfUsm69c4ln0V39/1u3Bm/luUsPJntzK0oue/MdtjZzrzB7Lwd4mseI1/zxfH7+aJoFIfD95NG3n6dNRomgy7mIrVNWOfTOTdUCWLoUgpDhfEc1/l/IbkmavvSBLmsG2LYhnFmjk49oBGwl5VkOe1Ui5I3kDXLldSyND2A6MuyBPeuDgAnCvtON/QH/fuFKQoykSjxEj0r0lQszxSpKaoJAKXYL4ndp7PFb8oz+2X3TSFWpDjGSEBUih8MrVEEUWRKD+azNn6EXhRL8Y8sixfDdZYEGYyCJFwkwWKd3AVZPJis43G2jAejnzY6Gk1zqFYDF+WhOJ139L/Pm/jz2k3+mK/Xo9UgGwbzcLIIkvU6DO6SeB4Ms2Q1SsbDxXgx+In7UElu993XnaItV3vg09kvKbFh1ud9qg6lgvInU1AEHVIMF/9ofyHIpUJ5a8w7q4Pqgrww1tcPV8SQltKrLvDv+msOJaGAY83ptJ14fsHw+3iX+rccnm32fO6JOi83MJ2q2xV6RjjfkHzbkq2bUz0iA3RxJrZntfnYvK1IILOtSMux1671IwD3WeZbjYR8ArA19Ctoxk73C0cv5yu69vFXYkajyWgyHg/f0zS6S4ZhCEtW2Xg4GUQTpzqw06E0SptPVNbIDlKsaG7c/SE7KLzWtXNxm5ecFRnj3E7swpIrtCM8xfuKGerBL7y4QHt7wn8Of1aUirfhkJ4LT01LgGv5h4UsjhZwA1/oAvCqma/wU3IJuXLOGozgNfh+ZXMFz7V5NEdO3aSxP04WBTCc2KeQiuDLX/AUfoddR6G/Jmb2VDGNdEUaihSFx0xDd9WIoLaKe+jRfcGiKNIvTSOVoQViAq0POeXItj8EDxSH3qx6tze3Nw8lMhX4Osg90aiGt7hkbRARiBLFGdwP/2QjWbZQHywMa4P3Um03Um5dvCa7y4zhwLp6nA9ttvbO5UQIadCGohdNi56Vue04wIWV3FPeEe2KUVvrxe2ws+sHx9c77FwY2yi6wr54pj28/VMx+wVQSwMEFAAAAAgARgs9XdheoESqBgAA2iAAABgAAAB4bC9kcmF3aW5ncy9kcmF3aW5nMi54bWztGslu2zj0XqD/QOhcxRK12UadQpKtQYFOWzSdy9wYmYqFSKSHVBwnxfz7PFKUt9ht7MkMUjQXWVzeI/X2xW/fLesKLaiQJWcjyz1zLERZzqcluxpZf3zN7L6FZEPYlFSc0ZF1R6X17vz1q7fLqRjeyrFAgIDJIQxH1qxp5sNeT+YzWhN5xueUwWrBRU0aGIqr3lSQW0BdVz3sOGFPzgUlUzmjtBm3K5bBR07AVpOSWef6Zs0tT2lVxSyfcdFOFYLX7VvOq3P3ba977eY+FcW5O3BxiL3VoprT64LfnjvttHrt5tR6FOL1igbQ29bnNXx9Lh7sP9hggKttHen295/ZDyIcrJbWh3ZHXQkyn5V5JkhNUU1ywUeWIQ1b/Lax+NlQJ/+4+CxQOR1Z2EIMoEZWOiOiQS6AkSFdNh9kY97QjShH1rcsw0kwyXw7gzfbdxLfTib+wM6w15/gKEuxF/6toN1wmAOfGxCx99OOv274gMN1CfeUvGjOcl73eFGUOe0kBuTF9Xuaw/qW39L+wMfJwLPjSRrbjuv07XQAQxyHXjLoD0Lsw+k9YIa+fferv6Jlvfpiw5iPOzRRYGrPflotCwGSRIZwQ7QcWaAyd+oJQPoolLeTeTerUXVAhjNqr3kdk4a0JD1af3LFIiBxPtRvhrb5yZgMgkepcsufMc9vasqaVp8FrTSb5aycSwuJoWKVeD91DSM2vlgzZEUMTaJNoTWMqUrArQjUcWSPYm9NITotm1iOLLBWygIYod9W/rWyrRRTK3/k+kapdvXwSVT/kMlxDhzqrjV8y+AEkRvsszhK+et8GFcNFYw0NOWsAfIZptaPEouaiOubuQ0KOAdOXpZV2dxp3gIhAXc648D0lQ77R+uwY3T4C/3rphQUGEVc3zDpXxgtrzNan8QVYeW9lkKU8il9tgasH0WRn/qBHblj38ZuNLZDHMZ2ECZplmRONvH6JxuwDfOifcAHnl9LxPjvfAGW3QVq8S9Ulvd60OkWWMRd1/AMrOCPvILTkxXIpAAhkhUdtgMjoTBxgoQafMYN7pOo1q0cY816K+XRepSRqrok+XWr13K+8tGoAQ9Slex6w19fzB96afAvrZdW3DPurN1HAF3H7q+AbAIGcYfL7UbD2zV2aeD3+jcV5Wy7OIiVQt8zjg4Hoe/CoKVMh2EuZPMb5TVSL+AJaK68FRmSBfjhdmu3RV+cV+U0K6tKDdRCWgm0INXIup2VDTXIt3ZVDN2qr/s++JWglD0Eh+MrZgjRfryOHZcJn94phJfwC1ERhMfNJ3gUFYez8qqcWwjCyvudOe3/K9lcNHcV1YO5emiWCEBTERVTU2Z//BNi6nu4tesYkjbnX2elRHJG5hQJClGxBMMtEUGtLJ6hC/0LM4IieTOfc9HQKSoZmixzWiGIjhzE1Rlg+89ev3r96n2Bmhns1ShviUQ1BPVF2QIRhigR4Fz1x6nYH/GiRfVGoSlb4Fsuri85v9bwkiy2T3Q8tdXgedOe1ipfThjjDbqk6EbS6ZlicxuAKanTZNGy1xFaD6Sa3dIMNdr1ZaeGBcelAH6A/f0pwLHx+HFJgBcM1unBVh7ghfvzgI2QBdKSJ80D/O08AD/TPMB3Ez8GV2p7mTOxJ+44suMxnsAjStLYifqxF53sRl/ygB+nJMfkAfinyAMO5eIHwnEfXOO+XPyA7u/PAtZFhN3UwzOlit2ygxvigbNe29b9XzQNCDqbdXFzWbIF+FAu7p5tBoDHTpoMoHrRn4QDG3LPCVRR4sDGUEBJ+2nsJ9HkZNP1kgHouuRTZAA7wvQLBv8Q3WOMg934H2MQ2rbQhSMndKLwJf5/if9/lvj/UBVwf+R/MAJ3wP/vqcQfF/kPAmyQ7Lr/8EDpMQzD6D/qAEDLZ7MD4D3TyD/oRxgy6MzOwiyxvWAS2jEU1ewonvShATCIE9c72X2+RP5PG/l7/1vkf0Sqr4LuA8G+Z3qAu1H34zt9hzqMfccBV3rAyBxx6qqruGQX6/ph+/VskarZh2XDcBUgN4KUV7MGauSMQVkOKjnBM9VzHAXQ1MtSe5xBf89XhfLE9yBgjrDnBknoZWN8hJ4byqwVfItUB2qgWlJ0ny/w+6Hf1e26bh9cxXcgPtro+R0sgkJxlx4ugppaWMc5qWqJuq7IvtACOp/QWjTFTtVkp6sCKclzyHa6PpvercAKKKauAJ22Svo9QLNfdzKLAuTiGOAVhD4Zmk8r4LpkXBXoH5zeLLsrm/1dNbb97rZRq0T5kYU/DaD+lnD+D1BLAwQUAAAACABGCz1dz2/XhpoCAAAGBwAAGAAAAHhsL2RyYXdpbmdzL2RyYXdpbmczLnhtbL1V227bMAz9FUGvg2tZviVGHaDJkmHAsHXI9gGqIifGbMuTlFuL/vsoyV4vexnSYS+WJZKH5CEpXfNir4Va71gvNDq1TacLXuKdMX0RhprvRMv0lexFB7JKqpYZ2KptuFHsWHfbtgkpIVnId0wZPLvmG1Uo0azre3HT8Z1UI+ZGXYr63nsawCslW+/mNCNXcR5Pk+vQb93pGU5JQmnkT88zvz6ZGflknmZTMig+M4+iSTyAjuajke5Ry7iSJcbIiJNp6u4H/HvE7rDub5X/558PtwrVmxJTjDrWihJ/A/25PKEI1FkBm0/aDOywC7hpWd2NSGiv6hI/rFZ0ni5XSbCCvyAh8ySYL5NpsKLxZEnz1YLG2aO1ibKCK8FMLbuPmzGGKPsjiraGXLWszBWXbSirquZirDzUPUpCF4XL8yGJ0ni+oFmQUZoH2TzOA0JvkmAyXdxEebyYLMnqEYdQEJf9uAILQ40cZ7/ps1wicwLGShw5s9cca8c2K06Vav8FkZAfAmcpSfM8h7KdwXGUUZJa7y5mxEFOs3iS0BQjDgqUTNOUDFnZQKxmr7T5IOSbg0IWqMRKcDtarGAHIMsTOLoYaPFUWIIsYxtoW1bcwQoU+pm+uMPQQSjzBT5VI48l5k3dY3RUrC+x/rlnSmCkTLOQTYkdDaxotFmbcyPe6tmB9W9FsSCuSxRw0bBuW2LRBd/XGOl7W19CMLobOowVZvZFbVlX37vZQAu5EcjS7bvV4/wNmOuXqoLC+YoBK4DYIXPuRcU43Abv2i5ozNBZ7JVAMC/g+pWA66HVIBurYGboEOpLIkR3TAu4viAU4q+R/xPu1z3rTG1qeG0uCdvRYmaHWhxfmNuRGGZhnAB3X+jx9MWjZDWfvXuzX1BLAwQUAAAACABGCz1dhlBclhMDAAB9DAAAGAAAAHhsL2RyYXdpbmdzL2RyYXdpbmc0LnhtbM2XW2/bIBTHvwridXJtE3xVHWlpm2lSNW3L9gEowY01G2dA0qTTvvsOBi+9vExptebJNpdzfud/gIPPebnRQi1WbC002nWt1CWv8MqYdRmGmq9Ex/RZvxYS+upedczAp7oNl4rdNfK2a0MSRWnIV0wZPD3nS1Uq0S6ae/Fe8lWvRptLdazVS+fJG69V3zk3u2l0NsmyIjsP3efQuofWiFLfuJ+6zsMs0x9mJ5Sk9NnsmEZF4VrH6eMkvUYd46qvMEZG7EzbyB/w7izK7WL9Wbl3/mn7WaFmWWGCkWSdqPA3GD/rdyiG4ayEj2ttvDjsCGk61sjREtqopsK/5nMyS67mNJjDW0CjGQ1mV7QI5mSSX5FsfkEm6W87J05LrgQzTS8/LkeGOH1G0TUQq+5rc8b7LuzruuFiTDykPabhQDHE+SuJLrMZmZEgirM0uJqlaUCL9DK4gHERSWJ6WVz8xiEkZIh+fIIKPkeDZn/ls1oiswPFKhwP055qrAe1WbmrVfcaQkJ8CJwlcZQneYHRHhzHGc0S631gRhz6CSFJmkJaOQwgySSiuY/KgtiRa6XNB9G/GApZQxVWgtudxUq2BbGcgKMLL4uTwgpkFVvCsmXlDTxBQrelj15h6E6xdYX1zw1TAiNl2ou+rXDkNGm1WZh9K17qZbC1bWOb846pa+sANXIpJMQfDcEvRf0VevW9zUrk2lpYwhKZ/VrUjMMWe9fJoDU+XexJh2Cug+snHVz7/DkXg74exnORAxdNMjjv3hzOEnm4yQGuiCk9AThL5OHoAS6eZHF6AnQWydMlD+hykucnQGeRPF16oCMkB+neftlZJE+XPaDL6OQUNoVF8nT5gc6incKusEiernhAlybZKewKi+ROPn+kD4XsNc71IWgFR3fL5G2FhQy+L/DhHEc3vr6z0kwXm5tGbuHU79XewrhbgrPwL2aGOl3XUDBdpXz1EgFxWKtmirahPoYQ3TAt4NoI1crVsP+E+2XDpGlMI46iHqS0QTfi7lHU9iri7yDjzWO4p+mx9dG/gB354Hdj+gdQSwMEFAAAAAgARgs9Xfkf1EX5AgAAdQsAABgAAAB4bC9kcmF3aW5ncy9kcmF3aW5nNS54bWzNlm1P2zAQx7+K5bdTSOKmeRKp1EIzIaGJrdsHMK5LoyVOZ5vSgvjuO8fOUuDNVJDoqyS27+53/4t9Pmf5veJysaYbrtCuqYXKWYHXWm9y31dszRuqztoNFzC3amVDNXzKO38p6UMl7praJ0EQ+2xNpcaTc7aUueT1onrkU8HWrex9LuWxXi9tJOd8JdvGhtlNgjOSRWFy7tvPbnQPo8GIkMyO7if2OZjpdjAfpQlJ35pnQURemvdGaoMaymRbYIw03+m6Er/h3XoU28XmRtp39m17I1G1LDDBSNCGF/gnrJ+1OxTCcprDx7XSTh16hDYNrUTvCd3LqsBPZUlm43kZeSW8eVEwi7zZPMq8kozSOUnKCzKKn41NGOdMcqqrVlwte4YwfkPRVJCralf6jLWN365WFeN95aHuYeR3FF2eT/MynE6hIN7FlERefDkuvcvpNPNmaUpIEmXANn7GPhSky75/ggquRp1m/+QzWiK9A8UKHHZmrzVWndo0361k8xFCQn4Igo3DKI7jDKM9BCZJEAQmeseMmIGJSRaMU4wYLCAkje0CyMqAmJUbqfRX3r4bChlHBZacma1Fc7oFsWyoPoSTxUphBDKKLeGvp/ktPEFCu6eP/sPQg6SbAqs/91RyjKSuL9q6wE6TWumF3tf8vVEMb72tQ1PzhsprEwBVYskF5B90yS/56gfMqkeoQAiSdybwCwuk9xu+ogy22JdGeLV25aKvJji1E0y9mmDK1c+G6PR1MI6LDFzROIED79PhDJGDGw1wWRhFJwBniBxcNMCFoyQ0e+Wz62qQHN34gC4laXoCdAbJ0cUDnT1mPl87g+TokgO6JBqdwqYwSI4uHegM2insCoPk6LIDunicnMKuMEj25HNHetfIPuJc75KWcHTXVNwVmAvv1wIP5zi6df2d5npypXmDtr4yIPaGYK3/xwW6pYrDhQz6gOtOeoK+31OhK13xo1x2/QK8bCv+8ALJdGDXevuG211PVD/64g5sVh5csyd/AVBLAwQUAAAACABGCz1d4it/e7sAAAAzAQAAMgAAAHhsL3Bpdm90Q2FjaGUvX3JlbHMvcGl2b3RDYWNoZURlZmluaXRpb24xLnhtbC5yZWxzhY/BasMwEETvhf6D2HstO4dQiuUcEgK5BucDFmlti9haoVVC/PfRMaGFHodh3sy0u8cyqzsl8RwMNFUNioJl58No4NIfv75BScbgcOZABlYS2HWfH+2ZZswlJJOPogoliIEp5/ijtdiJFpSKI4XiDJwWzEWmUUe0VxxJb+p6q9MrA7o3pjo5A+nkGlD9Gkvz/2weBm/pwPa2UMh/VOjo75z3WOadyXJyUuCYRsoGfllNVaaD7lr9drV7AlBLAwQUAAAACABGCz1dtPbOzPs0AABr+gAAJwAAAHhsL3Bpdm90Q2FjaGUvcGl2b3RDYWNoZURlZmluaXRpb24xLnhtbM1923IbSZLl+5rtP6TxYR/GFkXcEhdtqcaAJEByBJBoJEiq+0UGkaCIEQiwcVFJPTb/Mv+yP7bHIwCQ9HMg1XZ1W43MulryCHh4+C3cPS75879+fZwlXybL1XQxf3tU+ql4lEzmt4u76fzT26OrUbfQOEpW6/H8bjxbzCdvj75NVkf/+sv//B8/P02/LNbZ+PZhcjK5n86nayBIgGy+env0sF4/vTk+XqHxcbz6afE0maPlfrF8HK/xz+Wn49XTcjK+Wz1MJuvH2XG5WKwdP46n86OI4c3yt+BY3N9Pbycni9vN42S+jkiWk9nYKFk9TJ9WO2yPt78F3eN4+XnzVLhdPD4BxcfpbLr+FpAeJY+3b84/zRfL8ccZWPB1uUP8lel8nN4uF6vF/fonIDqOJNJsS1UQ+mVqPD9Klm+md2+Plud3Jfx9cr+crB4u573FGMBnyOSu/e3tUWuzflhg9G23yd3JeA2CqrVyrfFTrVir1yvFSrlarB8lt+DvenJ3vZMsZrH/1R4I2T5O58M4qE1u31Kx7reL5V222MzXb4/w86/LNxuj9D+K2z8F/H/L/lMsdPEn/KcGhtmf/zz65edbU458sVneTpL1tycQ+uti+TnIHK37v297gDpMsPSm9a4MjbNOb4/OL66Ty/kDtC/502Y8X0PJoH7Hv/x8/AL3dqDudDK7WyW3kd5KfUdAgCfz8SPGv1x+Gs+nfwsaklwAdJTMN4/dx/U55lXEL8CF5eTufD15XO1HCQheDqKQZYu77yHbkdUwslbJl7dH/ZLNI/y1WIScNybtZwj4/wpSoj6lIvj0qk+5f+kgrROPuXXif5WduB9lp9TlzHcB9a/Hzvr+RzQ0jXxy4/F2PNqOx9rxjOlUHSWdlACENSW0KeFNGTFjhlm8EkEnhUm9hlAXGOfrHvQT4m6HuNv1c+q2Moe3m48c5Mz/6CzzjDjL/CTPMj+DM5LKv3nEPdIhmkHfc7zvGd73pPQ9JX3Py/7Qm8Bl/8+OCwNP7MAzYeBJG3jSBp60Aan7gPR9cEJ4TwhxN/fk9jyg7wFDmtGQpjSksYc09vDUYx555zC4avs+V+885MYBhqQfuac47/pZ5SSnnASVjzyeKwK0CDLqOPquRn7i1/5H114sN77HjWf5zQuOH79YWHar16F1Jd98nM6/IKJZLL99Z33aLSmlcmO3pgzPB/slpHt6/vz32V3+5fb5n/mH0XJz+7lGkPr/55pEK1Ch6zlZLuS3y/GT43g+uhx2PEvzJyy+CNpeecfhZL1Zzj00X48/IUJ1ffuXw1PC2l8glJsk3jtuwS1PWETshXvSTQLLvMns4N4x7eC0KG7xHMLvl4IdHu9udnDv/3bwppvWDu6dwE0IyBZePF1EUssvnjUUSyS0CFEXh8M7jza7rsf5egXVJ0XozhAS5tbi17nPs3vdEH5hSuUd1HJxp+Dd8W0YwGtbe7xOhrcPS69v3d6oIH8wwAB9pDNrT2pP98cA0GiLSukHGEGZxWApZzCc/NVjMCZQZBAdgNeq7tYxeC3Zwb327+Bey3dwr807OKnNdlyvtVjNE8nf3vgjkrHoIF95CzR4rd0sP02oX76eLOEVXN9qcjNZeWb1LmkhAshPGSDPtWyzWkfv5d3U0JvByXLxlCNj9ZHhHL5oMkHC92qS3dlisQRfbj+Tr1ytl9NbpH1+xLJfXU8mTws/0wxp8/TT/HriCT6ZTpL2eE7DjX818RAZN+P7yVL9wAbYPFqe6RfglQAG6W8+ns+9I0JIVxhObokrd/kSq5wLrluZTzL+cnlBeUb7quejmKyV+zhh0Nfmmw1OC0OKys5aw8L5hY/BBwamzoaB+2Znnb7oa1Bb3l0GBhQCap0PUMG9TzsXPJ45suTP46VXqpPVunoAXkouYV1eb/GD8qGGyqGG6uFfaJrKiqZ+Kx91hrTWm68fUPy6DS64od86v/A4OtnV0OvJsJNd+35niM1eC2zgY49uHoOMhP3ptoGybkSJy/FMzet+uaDlJxjrcrF4dD84n8MdzgnPsC2Xnm3k5H1Ytnh8pPUrH/lJXlGSYYY2OM8oi+i1Lkbd3uWlF9vVixDz742rkxHqUb+n+NNb3Nr68/34fL6G6awuFvNYpkNp9RZCMVgOP20F1heg9gwedlsEiuWtQwnCduwfzWE/2D+cAItVNgiSDtbO/nlDW2nuNyRF5UoaynlWXsv6pUqp0tynNoNiqQS+v1pSASszrCz6lanfPbr5394XU4ZZadSNWypXfFCFAQrFWtX3bAFeRYmXImzAKwKeptfNYqVYKPkUwRqqpWrBB1tpWqg2Ks1mViiXCn7VStN3xXo5LRBD9g3eZ+0bfJCZpjfFUlpSqDqlOmqhgrJ2pYEic6PsJx9wNdJCWqDyaJoOW5ALOCB+tW/yMVuadlFpLRYq3BCpLntxpWm7VoTIeP5hkFKpUCkzsusmlEGxYNvA2LZMkxwwuhTBZWPzwQYlmPAL1pgvQWNK/Istt7gBAqmBKZhjQTSWU4i5WPT5wU41qLK9b2DuR77YJs0rg95rGU8GvwBpXHTfakypDI1h43hWtMJ7XxSD6QSc9QKPBiGDCzWBsRC4wL4jTWGCDcCbBZbdvom5GqynUhDM68LhQUWKSn4l/KTE6mY/QYOyj1IxBS6Wnf0ELQpZuQoeMK6tT2FmvytXiiNwoFBife+VsMdURouyKrNdniU8IeDKEQYPSaoTPWdZIqqkwj9trVZhMncuvCZ+YU7De/mdcz7otYUeRXcunUxoOLQAlKWSmy855H0q0spqZsrCL0FKxUK1yGIyx1ivl4aFCk+/UAmeEfKFIAts7q/bhWt59XueegOaUG/Al/HQnUpaLRcawvUbweVqqVDl+Z9C6dUKAy2FmhbapSYzs4CFHKLHElz00bF5knoTK10VywbpJagunXRKWIebgnOlYg3k+zonMIaGpmqowls0Cg3BxhLil3ITfGIiypU6giW14hXKQ8Rdp0IZXooNbuX7cq+o2KQyxL62RF2FgaXVotBaaB/mVwU+EQOgsWvBRl2RWy32wRr4bUFpNS2VS7VCvSgiqLSE0bAHz1xLy9U6fFBFMHTXJASeNkrVeiEVplrYNlH8CIHvmlhd902CdqwexX4btiyor5sDD06RZ1avpracwmS5rQXLgXxkfFTImubiscwJpB2zOIR8SlXOe3WEg+CzWGoK571zaLX5XJ4iftRMmz5bT6Hq9Xqt6BPaNC03UlCoVq56WjPSK2w5+5YC23Zj2CiWlQ5bQ0M2jN43m1LtG7uWAm1wIYAoF6FsYq3IKvBvFZBeZZ5bG8Qs3VlWrZXsZxZfsJjRCuXBkqwad271UPCYspxiVFlXDRbIVHVUggZeL2LoowOfkggJtkGMmOSu5XBIpEe3YEmPby1sortxeO3atWi+WOjF3mr7G+H/di0HqS4fpE2EFDtsB8NC4cLwm1KKoLkkSMBc4FBEUNPdtujfwPQFBQi1sAoKhsYG/sVpAa6pUG3aUsU8DWu+QHeKZF5iK9dr6O93RtP0NPu3SspknYVkooIgiCVwFvwpYhjytdsWoQO7Ftbc2NJkXp5hinAEZZOBGGnfyKyzmB5+gp3EtoHH2jawjW 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xl/worksheets/sheet1.xml xl/worksheets/sheet5.xml 1 0 Organization Code 1 Subinventory 2 Item 3 Sum of On Hand 4 Sum of Reserved 5 Sum of Unpacked 6 Sum of Packed 7 M1 8 Grand Total 9 FGI 10 CM13139 11 FldSvc 12 FS_Truck6 13 FS_Truck7 14 RIP 15 Item 16 (All) data A 3 data A1 1 data AA 3 data AA1 1 data AB 3 data AB1 1 data AC 2 data AC1 1 data AD 3 data AD1 1 data AE 3 data AE1 1 data AF 3 data AF1 1 data AG 3 data AG1 1 data AH 3 data AH1 1 data AI 3 data AI1 1 data AJ 3 data AJ1 1 data AK 3 data AK1 1 data B 3 data B1 1 data C 3 data C1 1 data D 3 data D1 1 data E1 1 data F1 1 data G1 1 data H 3 data H1 1 data I 3 data I1 1 data J1 1 data K 3 data K1 1 data L 3 data L1 1 data M1 1 data N 3 data N1 1 data O 3 data O1 1 data P1 1 data Q1 1 data R1 1 data S 3 data S1 1 data T1 1 data U1 1 data V 3 data V1 1 data W1 1 data X 3 data X1 1 data Y 3 data Y1 1 data Z 3 data Z1 1 parameter A1 1 parameter A10 1 parameter A11 1 parameter A13 1 parameter A14 1 parameter A15 1 parameter A16 1 parameter A2 1 parameter A3 1 parameter A4 1 parameter A5 1 parameter A6 1 parameter A7 1 parameter A8 1 parameter A9 1 parameter B1 3 parameter B10 3 parameter B11 3 parameter B13 3 parameter B14 3 parameter B15 3 parameter B16 3 parameter B2 3 parameter B3 2 parameter B4 3 parameter B5 3 parameter B6 3 parameter B7 3 parameter B8 3 parameter B9 3 S Site Show Serial Numbers ENGINATICS 80597DF65E7889A40F4BDF66B1079634 ERIC.CLEGG 5A3D098F0DDB14CEE0630100007F500C DF1D2332853B26B018B6788B644B8D41