ENGINATICS SYSTEM_ADMINISTRATOR SYSADMIN 8E2FF36EDECA79D2E0530100007F1FF2 INV Category Set 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 US 8E2FF36EDEA679D2E0530100007F1FF2 Yes Y select 'Y' id, xxen_util.meaning('Y','YES_NO',0) value, null description from dual US 3A3523DAAE7CAEF0E06362FB09055D29 with opm_batch_lot_costs as ( select x.top_batch_id, x.top_item_id, x.batch_id, x.material_detail_id, x.organization_id, x.product_item_id, x.inventory_item_id, x.primary_uom_code, x.dtl_um, x.dtl_prim_uom_conv_rate, x.plan_qty, x.actual_qty, x.scaled_actual_qty, x.ingredient_usage_factor, x.lot_number, x.lot_cost * x.dtl_prim_uom_conv_rate lot_cost, x.lot_qty, x.scaled_lot_qty, x.intermediate_ingred, x.uom_conv_error, x.line_type, x.lot_source, x.step_level, x.sort_order, x.group_id from xmltable ( '/BATCHLOTCOST/ROW' passing xxen_opm.get_report_xml columns top_batch_id number path 'TOP_BATCH_ID' , top_item_id number path 'TOP_ITEM_ID' , batch_id number path 'BATCH_ID' , material_detail_id number path 'MATERIAL_DETAIL_ID' , organization_id number path 'ORGANIZATION_ID' , product_item_id number path 'PRODUCT_ITEM_ID' , inventory_item_id number path 'INVENTORY_ITEM_ID' , primary_uom_code varchar2(3) path 'PRIMARY_UOM_CODE' , dtl_um varchar2(3) path 'DTL_UM' , dtl_prim_uom_conv_rate number path 'DTL_PRIM_UOM_CONV_RATE' , plan_qty number path 'PLAN_QTY' , actual_qty number path 'ACTUAL_QTY' , scaled_actual_qty number path 'SCALED_ACTUAL_QTY' , ingredient_usage_factor number path 'SCALING_FACTOR' , lot_number varchar2(150) path 'LOT_NUMBER' , lot_cost number path 'LOT_COST' , lot_qty number path 'LOT_QTY' , scaled_lot_qty number path 'SCALED_LOT_QTY' , intermediate_ingred varchar2(1) path 'INTERMEDIATE_INGRED' , uom_conv_error varchar2(1) path 'UOM_CONV_ERROR' , line_type number path 'LINE_TYPE' , lot_source varchar2(150) path 'LOT_SOURCE' , step_level number path 'STEP_LEVEL' , sort_order varchar2(2000) path 'SORT_ORDER' , group_id number path 'GROUP_ID' ) x ) -- -- select ood.organization_code organization, gbh1.batch_no top_batch_no, gbh2.batch_no, (select gfc.formula_class_desc from fm_form_mst ffm,gmd_formula_class gfc where ffm.formula_class = gfc.formula_class and ffm.formula_id = gbh2.formula_id) batch_type, gbh2.actual_cmplt_date batch_completion_date, (select gllv.currency_code from gl_ledger_le_v gllv where gllv.ledger_id = ood.set_of_books_id) currency_code, -- product msiv1.concatenated_segments product, msiv1.description product_desc, xxen_util.meaning(msiv1.item_type,'ITEM_TYPE',3) product_item_type, oblcp.lot_number batch_lot_number, oblcp.plan_qty batch_size, oblcp.actual_qty batch_actual_output, round(oblcp.actual_qty/oblcp.plan_qty*100,2) batch_yield, trunc(oblcp.lot_cost * oblcp.actual_qty,:p_precision) batch_cost, trunc(oblcp.lot_cost,:p_precision) batch_unit_cost, oblcp.dtl_um batch_uom, oblcp.primary_uom_code primary_uom, -- ingredients oblc.step_level "Level", xxen_util.meaning(oblc.line_type,'GMD_FORMULA_ITEM_TYPE',552) material_type, msiv2.concatenated_segments item, msiv2.description item_desc, xxen_util.meaning(msiv2.item_type,'ITEM_TYPE',3) item_type, -- lot oblc.lot_number, trunc(oblc.lot_cost,:p_precision) lot_cost, trunc(oblc.lot_qty,:p_precision) lot_quantity, trunc(trunc(oblc.lot_cost,:p_precision) * trunc(oblc.lot_qty,:p_precision),:p_precision) lot_extended_cost, case when sum(trunc(oblc.lot_cost,:p_precision) * trunc(oblc.lot_qty,:p_precision)) over (partition by oblc.batch_id) != 0 then round(((trunc(oblc.lot_cost,:p_precision) * trunc(oblc.lot_qty,:p_precision)) / sum(trunc(oblc.lot_cost,:p_precision) * trunc(oblc.lot_qty,:p_precision)) over (partition by oblc.batch_id))*100,2) else 0 end pct_of_cost, decode(oblc.intermediate_ingred,'Y','PRODUCTION BATCH',oblc.lot_source) lot_source, oblc.dtl_um detail_uom, xxen_util.meaning(oblc.uom_conv_error,'YES_NO',0) uom_conv_error, -- &lp_prod_category_segments &lp_prod_catalog_elements &lp_prod_item_dff &lp_ingred_category_segments &lp_ingred_catalog_elements &lp_ingred_item_dff -- oblc.sort_order sort_order, oblc.top_batch_id, oblc.batch_id, oblc.material_detail_id from opm_batch_lot_costs oblc, opm_batch_lot_costs oblcp, gme_batch_header gbh1, gme_batch_header gbh2, org_organization_definitions ood, mtl_system_items_vl msiv1, mtl_system_items_vl msiv2 where -- join the batch ingredient line to the batch product line for batch level kpis oblc.top_batch_id = oblcp.top_batch_id and oblc.batch_id = oblcp.batch_id and oblc.product_item_id = oblcp.inventory_item_id and oblcp.line_type = 1 and -- oblc.top_batch_id = gbh1.batch_id and oblc.batch_id = gbh2.batch_id and gbh2.organization_id = ood.organization_id and -- oblcp.organization_id = msiv1.organization_id and oblcp.inventory_item_id = msiv1.inventory_item_id and oblc.organization_id = msiv2.organization_id and oblc.inventory_item_id = msiv2.inventory_item_id and -- oblc.line_type = -1 and 1=1 order by gbh1.batch_no, oblc.step_level, gbh2.batch_no, oblc.sort_order Y XXEN_OPM US OPM Batch Lot Cost Details OPM Batch Lot Cost Details Report This report shows the Batch Lot Costs details for completed batches in the specified from/to Date Range and for the specified Organization, Product, Formula Class (optional) and Batch (optional). For each selected batch included in the report, the report details the lot cost details for that batch and for all child production batches consumed by that batch. The quantities shown in the child batches are the actual quantities for that batch and it’s ingredients. This report does not apportion the child batch quantities based on the actual quantity consumed by the parent batches. The report allows the user to pull in several additional data points to allow further analysis of data based on the customer specific configuration. Specifically, for the both the batch product (same for all lines in the batch) and for the batch ingredients (are specific to each line in the batch), the following additional data can be pulled into the report. - Item Catalog Descriptive Elements for a specific Item Catalog Group - Item Category Segments for a specific Item Category Set - Item Descriptive Flexfield Attributes Enginatics R12 only &lp_ingred_catalog_elements &lp_ingred_category_segments &lp_ingred_item_dff &lp_prod_catalog_elements &lp_prod_category_segments &lp_prod_item_dff 1=1 :p_batch_no :p_conc_request_id :p_cost_type :p_cost_type_id :p_date_from :p_date_to :p_formula_class :p_item :p_master_org_id :p_org_code :p_org_id :p_precision :p_report_code 1 -20 :p_report_code Char OPM_BATCH_LOT_COST US Report Code 2 -10 :p_precision Number 3 US Precision 3 10 :p_org_code LOV custom Y select goav.organization_code value, goav.organization_name description from gmd_org_access_vw goav order by value select mp.organization_code from mtl_parameters mp where mp.organization_id=fnd_profile.value('MFG_ORGANIZATION_ID') Y US Organization Code 4 20 :p_date_from Date Y US From Date 5 30 :p_date_to Date Y US To Date 6 40 :p_item LOV custom Y Y select msiv.concatenated_segments value, msiv.description from mtl_parameters mp, mtl_system_items_vl msiv where msiv.organization_id=mp.organization_id and xxen_util.contains(:$flex$.organization_code,mp.organization_code) = 'Y' and exists (select null from gme_batch_header gbh, gme_material_details gmd, mtl_material_transactions mmt, mtl_transaction_lot_numbers mln where gbh.batch_id = gmd.batch_id and gbh.organization_id = msiv.organization_id and gmd.inventory_item_id = msiv.inventory_item_id and gmd.batch_id = mmt.transaction_source_id and gmd.material_detail_id = mmt.trx_source_line_id and gmd.inventory_item_id = mmt.inventory_item_id and mmt.transaction_source_type_id = 5 and mmt.transaction_id = mln.transaction_id and gmd.line_type = 1 and gbh.actual_cmplt_date is not null and trunc(gbh.actual_cmplt_date) between :$flex$.from_date and :$flex$.to_date and (:$flex$.formula_class is null or gbh.formula_id in (select ffm.formula_id from fm_form_mst ffm where ffm.formula_class = :$flex$.formula_class and ffm.owner_organization_id = mp.organization_id) ) ) order by value Y US Product 7 50 :p_formula_class LOV custom Y select gfc.formula_class id, gfc.formula_class_desc value, null description from gmd_formula_class gfc order by value US Formula Class 8 60 :p_batch_no LOV custom Y select gbh.batch_no value, to_char(gbh.actual_cmplt_date,'DD-MM-YYYY HH24:MI:SS') description from mtl_parameters mp, gme_batch_header gbh where gbh.organization_id = mp.organization_id and xxen_util.contains(:$flex$.organization_code,mp.organization_code) = 'Y' and gbh.actual_cmplt_date is not null and trunc(gbh.actual_cmplt_date) between :$flex$.from_date and :$flex$.to_date and (:$flex$.formula_class is null or gbh.formula_id in (select ffm.formula_id from fm_form_mst ffm where ffm.formula_class = :$flex$.formula_class and ffm.owner_organization_id = mp.organization_id) ) and exists (select null from gme_material_details gmd, mtl_system_items_vl msiv, mtl_material_transactions mmt, mtl_transaction_lot_numbers mln where gmd.batch_id = gbh.batch_id and gmd.line_type = 1 and gmd.organization_id = msiv.organization_id and gmd.inventory_item_id = msiv.inventory_item_id and gmd.batch_id = mmt.transaction_source_id and gmd.material_detail_id = mmt.trx_source_line_id and gmd.inventory_item_id = mmt.inventory_item_id and mmt.transaction_source_type_id = 5 and mmt.transaction_id = mln.transaction_id and msiv.concatenated_segments = :$flex$.product ) order by value US Batch 9 70 :p_cost_type_id LOV custom Y select cmm.cost_type_id id, cmm.cost_mthd_code value, cmm.cost_mthd_desc description from cm_mthd_mst cmm where cmm.cost_type = 6 order by value select cmm.cost_mthd_code from mtl_parameters mp, cm_mthd_mst cmm, gmf_fiscal_policies gfp, org_organization_definitions ood where cmm.default_lot_cost_type_id = gfp.cost_type_id and gfp.legal_entity_id = ood.legal_entity and xxen_util.contains(:$flex$.organization_code,ood.organization_code) = 'Y' Y US Cost Type 10 80 &lp_prod_category_segments select x.* from ( select '(select min(mcb.'||lower(fifsv.application_column_name)||') keep (dense_rank first order by mic.category_id) from mtl_item_categories mic, mtl_categories_b mcb where mic.category_set_id=' || mcsv.category_set_id || ' and msiv1.organization_id=mic.organization_id and msiv1.inventory_item_id=mic.inventory_item_id and mic.category_id=mcb.category_id) "'||substrb('Prd: ' || fifsv.form_left_prompt_,1,xxen_report.max_column_length)||'",' sql_text from mtl_category_sets_vl mcsv, (select xxen_util.init_cap(fifsv.form_left_prompt) form_left_prompt_, fifsv.* from fnd_id_flex_segments_vl fifsv) fifsv where mcsv.category_set_name=:p_prod_cat_set_name and mcsv.structure_id=fifsv.id_flex_num and fifsv.application_id=401 and fifsv.id_flex_code='MCAT' and fifsv.enabled_flag='Y' order by fifsv.id_flex_num, fifsv.segment_num ) x 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 US Product Category Set 11 90 &lp_prod_catalog_elements select distinct '(select mdev.element_value from mtl_descr_element_values_v mdev where mdev.inventory_item_id = msiv1.inventory_item_id and mdev.item_catalog_group_id = msiv1.item_catalog_group_id and mdev.element_name = ''' || mdv.element_name || ''')' || ' "' || substrb('Prd: ' || mdv.element_name,1,xxen_report.max_column_length) || '",' value from mtl_descr_element_values_v mdv where mdv.item_catalog_group_id = :p_prod_catlg_grp_id order by value LOV custom Y select micgbk.item_catalog_group_id id, micgbk.concatenated_segments value, null description from mtl_item_catalog_groups_b_kfv micgbk where exists (select null from mtl_parameters mp, mtl_system_items_b msib where mp.organization_id = msib.organization_id and msib.item_catalog_group_id = micgbk.item_catalog_group_id and xxen_util.contains(:$flex$.organization_code,mp.organization_code) = 'Y' ) US Product Item Catalog 12 100 &lp_prod_item_dff select xxen_util.dff_columns(p_table_name=>'mtl_system_items_b',p_table_alias=>'msiv1', p_row_id=>'row_id',p_column_name_prefix=>'Prd: ') sql_text from dual LOV Yes 8E2FF36EDEA679D2E0530100007F1FF2 Y select 'Y' id, xxen_util.meaning('Y','YES_NO',0) value, null description from dual US Show Product Item DFF 13 110 &lp_ingred_category_segments select x.* from ( select '(select min(mcb.'||lower(fifsv.application_column_name)||') keep (dense_rank first order by mic.category_id) from mtl_item_categories mic, mtl_categories_b mcb where oblc.step_level > 0 and mic.category_set_id=' || mcsv.category_set_id || ' and msiv2.organization_id=mic.organization_id and msiv2.inventory_item_id=mic.inventory_item_id and mic.category_id=mcb.category_id) "'||substrb('Ing: ' || fifsv.form_left_prompt_,1,xxen_report.max_column_length)||'",' sql_text from mtl_category_sets_vl mcsv, (select xxen_util.init_cap(fifsv.form_left_prompt) form_left_prompt_, fifsv.* from fnd_id_flex_segments_vl fifsv) fifsv where mcsv.category_set_name=:p_ingred_cat_set_name and mcsv.structure_id=fifsv.id_flex_num and fifsv.application_id=401 and fifsv.id_flex_code='MCAT' and fifsv.enabled_flag='Y' order by fifsv.id_flex_num, fifsv.segment_num ) x 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 US Ingredient Category Set 14 120 &lp_ingred_catalog_elements select distinct '(select mdev.element_value from mtl_descr_element_values_v mdev where oblc.step_level > 0 and mdev.inventory_item_id = msiv2.inventory_item_id and mdev.item_catalog_group_id = msiv2.item_catalog_group_id and mdev.element_name = ''' || mdv.element_name || ''')' || ' "' || substrb('Ing: ' || mdv.element_name,1,xxen_report.max_column_length) || '",' value from mtl_descr_element_values_v mdv where mdv.item_catalog_group_id = :p_ingred_catlg_grp_id order by value LOV custom Y select micgbk.item_catalog_group_id id, micgbk.concatenated_segments value, null description from mtl_item_catalog_groups_b_kfv micgbk where exists (select null from mtl_parameters mp, mtl_system_items_b msib where mp.organization_id = msib.organization_id and msib.item_catalog_group_id = micgbk.item_catalog_group_id and xxen_util.contains(:$flex$.organization_code,mp.organization_code) = 'Y' ) US Ingredient Item Catalog 15 130 &lp_ingred_item_dff select xxen_util.dff_columns(p_table_name=>'mtl_system_items_b',p_table_alias=>'msiv2', p_row_id=>'row_id',p_column_name_prefix=>'Ing: ') sql_text from dual LOV Yes 8E2FF36EDEA679D2E0530100007F1FF2 Y select 'Y' id, xxen_util.meaning('Y','YES_NO',0) value, null description from dual US Show Ingredient Item DFF :$flex$.formula_class Formula Class Batch :$flex$.formula_class Formula Class Product :$flex$.from_date From Date Y Batch :$flex$.from_date From Date Y Product :$flex$.organization_code Organization Code Batch :$flex$.organization_code Organization Code Cost Type :$flex$.organization_code Organization Code Ingredient Category Set :$flex$.organization_code Organization Code Ingredient Item Catalog :$flex$.organization_code Organization Code Product :$flex$.organization_code Organization Code Product Category Set :$flex$.organization_code Organization Code Product Item Catalog :$flex$.product Product Batch :$flex$.to_date To Date Y Batch :$flex$.to_date To Date Y Product Default ERIC.CLEGG 12 BATCH_ACTUAL_OUTPUT 5 BATCH_COMPLETION_DATE 14 BATCH_COST 33 BATCH_ID 10 BATCH_LOT_NUMBER 3 BATCH_NO 11 BATCH_SIZE 4 BATCH_TYPE 15 BATCH_UNIT_COST 16 BATCH_UOM 13 BATCH_YIELD 6 CURRENCY_CODE 29 DETAIL_UOM 20 ITEM 21 ITEM_DESC 22 ITEM_TYPE 24 LOT_COST 26 LOT_EXTENDED_COST 23 LOT_NUMBER 25 LOT_QUANTITY 28 LOT_SOURCE 18 Level 34 MATERIAL_DETAIL_ID 19 MATERIAL_TYPE 1 ORGANIZATION 27 PCT_OF_COST 17 PRIMARY_UOM 7 PRODUCT 8 PRODUCT_DESC 9 PRODUCT_ITEM_TYPE 31 SORT_ORDER 32 TOP_BATCH_ID 2 TOP_BATCH_NO 30 UOM_CONV_ERROR OPM Batch Lot Cost Details Template 20250804.xlsx US 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xl/worksheets/sheet1.xml xl/worksheets/sheet3.xml 1 0 Organization 1 Top Batch No 2 Level 3 Batch No 4 Sort Order 5 Product 6 Product Desc 7 Batch Lot Number 8 Batch Size 9 Batch Actual Output 10 Batch Yield 11 Batch Cost 12 Batch Unit Cost 13 Batch Uom 14 Primary UOM 15 Batch Type 16 Currency Code 17 Material Type 18 Item 19 Item Desc 20 Detail Uom 21 Lot Number 22 Lot Source 23 Lot Quantity 24 Lot Cost 25 Lot Extended Cost 26 Pct Of Cost 27 NA 28 00000010000001 29 EA 30 (blank) 31 USD 32 Ingredient 33 PRODUCTION BATCH 34 1 Total 35 00000010000002 36 2 Total data A1 1 data AA 4 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 B1 1 data C1 1 data D1 1 data E 2 data E1 1 data F1 1 data G1 1 data H1 1 data I1 1 data J1 1 data K 3 data K1 1 data L 3 data L1 1 data M 4 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 S1 1 data T1 1 data U1 1 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 A11 1 parameter A12 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 Detail Pivot ERIC.CLEGG 12 BATCH_ACTUAL_OUTPUT 5 BATCH_COMPLETION_DATE 14 BATCH_COST 33 BATCH_ID 10 BATCH_LOT_NUMBER 3 BATCH_NO 11 BATCH_SIZE 4 BATCH_TYPE 15 BATCH_UNIT_COST 16 BATCH_UOM 13 BATCH_YIELD 6 CURRENCY_CODE 29 DETAIL_UOM 20 ITEM 21 ITEM_DESC 22 ITEM_TYPE 24 LOT_COST 26 LOT_EXTENDED_COST 23 LOT_NUMBER 25 LOT_QUANTITY 28 LOT_SOURCE 18 Level 34 MATERIAL_DETAIL_ID 19 MATERIAL_TYPE 1 ORGANIZATION 27 PCT_OF_COST 17 PRIMARY_UOM 7 PRODUCT 8 PRODUCT_DESC 9 PRODUCT_ITEM_TYPE 31 SORT_ORDER 32 TOP_BATCH_ID 2 TOP_BATCH_NO 30 UOM_CONV_ERROR OPM Batch Lot Cost Details Template 20250804.xlsx US 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xl/worksheets/sheet1.xml xl/worksheets/sheet3.xml 1 0 Organization 1 Top Batch No 2 Level 3 Batch No 4 Sort Order 5 Product 6 Batch Lot Number 7 Product Desc 8 Batch Size 9 Batch Actual Output 10 Batch Yield 11 Batch Cost 12 Batch Unit Cost 13 Batch Uom 14 Primary UOM 15 Batch Type 16 Currency Code 17 Material Type 18 Item 19 Item Desc 20 Detail Uom 21 Lot Number 22 Lot Source 23 Lot Quantity 24 Lot Cost 25 Lot Extended Cost 26 Pct Of Cost 27 NA 28 00000010000001 29 EA 30 (blank) 31 USD 32 Ingredient 33 PRODUCTION BATCH 34 1 Total 35 00000010000002 36 2 Total data A1 1 data AA 4 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 B1 1 data C1 1 data D1 1 data E 2 data E1 1 data F1 1 data G1 1 data H1 1 data I1 1 data J1 1 data K 3 data K1 1 data L 3 data L1 1 data M 4 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 S1 1 data T1 1 data U1 1 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 A11 1 parameter A12 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 ERIC.CLEGG Detail Pivot Default