On this page you will find the specifications regarding the Model: Production Performance and Fact Table: SHOP ORDER MEASURES.
This model fact represents shop order information and is based on the IFS Applications fact FACT_SHOP_ORDER.
Note: Please refer to documentation of each model to find out about attributes used in referenced models.
| Attribute | Description (where applicable) |
Aggregation of measures is based on SUM if not explicitly noted.
This section describes the basic measures in the cube. These are either measures defined in the core Information Source, in the model itself or in the ETL process. The columns have the following meaning:
| Measure | Calculated Y/N | Contains Time Intelligence Y/N | Definition/Note (where applicable) | Aggregation Type | Hidden Y/N | Measure Expression |
| Qty Completed % | Y | Y | N | IF([Lot Size]<>0, [Qty Completed SO]/[Lot Size], BLANK()) | ||
| Scrap % | Y | Y | DIVIDE | N | DIVIDE([Qty Op Scrapped SO], [Qty Completed SO]) | |
| Planned Scrap % | Y | N | DIVIDE | N | DIVIDE([Qty Planned Op Scrapped SO], [Lot Size]) | |
| Delivery Performance SO % | Y | N | SUM | N | IF(([Lot Size]-[Qty Planned Op Scrapped SO])<>0,[Qty Completed SO]/([Lot Size]-[Qty Planned Op Scrapped SO]),BLANK()) | |
| Total Act Accum Cost SO RC | Y | Y | SUMX | N | SUMX('SHOP ORDER', [REP_CURR_TOTAL_ACT_ACCUM_COST]/[Currency Rate]) | |
| Total Est Accum Cost SO RC | Y | Y | SUMX | N | SUMX('SHOP ORDER',[REP_CURR_TOTAL_EST_ACCUM_COST]/[Currency Rate]) | |
| Total Std Accum Cost SO RC | Y | Y | SUMX | N | SUMX('SHOP ORDER',[REP_CURR_TOTAL_STD_ACCUM_COST]/[Currency Rate]) | |
| Lot Size | Y | Y | SUM | N | SUM('SHOP ORDER'[LOT_SIZE]) | |
| Count Closed Shop Orders | Y | N | SUM | N | SUM('SHOP ORDER'[COUNT_CLOSED_SHOP_ORDERS]) | |
| Count Finished On Time SO | Y | N | SUM | N | SUM('SHOP ORDER'[COUNT_FINISHED_IN_TIME]) | |
| Count Parked Shop Orders | Y | N | SUM | N | SUM('SHOP ORDER'[COUNT_PARKED_SHOP_ORDERS]) | |
| Count Shop Orders | Y | Y | COUNTROWS | N | COUNTROWS('SHOP ORDER') | |
| Count Started Early SO | Y | N | SUM | N | SUM('SHOP ORDER'[COUNT_STARTED_EARLY]) | |
| Count Started Late SO | Y | N | SUM | N | SUM('SHOP ORDER'[COUNT_STARTED_LATE]) | |
| Count Started On Time SO | Y | N | SUM | N | SUM('SHOP ORDER'[COUNT_STARTED_IN_TIME]) | |
| Count Tardy Shop Orders | Y | N | SUM | N | SUM('SHOP ORDER'[COUNT_TARDY_SHOP_ORDERS]) | |
| Operation Scrapped Cost SO | Y | Y | SUM | N | SUM('SHOP ORDER'[OPERATION_SCRAP_COST]) | |
| Original Lot Size SO | Y | N | SUM | N | SUM('SHOP ORDER'[ORG_LOT_SIZE]) | |
| Qty Completed SO | Y | Y | SUM | N | SUM('SHOP ORDER'[QTY_COMPLETE]) | |
| Qty Op Scrapped SO | Y | Y | SUM | N | SUM('SHOP ORDER'[OPERATION_SCRAPPED]) | |
| Qty Pegged SO | Y | Y | SUM | N | SUM('SHOP ORDER'[QTY_PEGGED]) | |
| Qty Planned Op Scrapped SO | Y | Y | SUM | N | SUM('SHOP ORDER'[PLANNED_OP_SCRAP]) | |
| Qty Remaining SO | Y | Y | SUM | N | SUM('SHOP ORDER'[QTY_REMAINING]) | |
| Total Act Accum Cost SO | Y | Y | SUM | N | SUM('SHOP ORDER'[TOTAL_ACT_ACCUM_COST]) | |
| Total Est Accum Cost SO | Y | Y | SUM | N | SUM('SHOP ORDER'[TOTAL_EST_ACCUM_COST]) | |
| Total Std Accum Cost SO | Y | Y | SUM | N | SUM('SHOP ORDER'[TOTAL_STD_ACCUM_COST]) | |
| WIP External SO | Y | Y | SUM | N | SUM('SHOP ORDER'[WIP_AT_SUPPLIER]) | |
| WIP Internal SO | Y | Y | SUM | N | SUM('SHOP ORDER'[INTERNAL_WIP]) | |
| Finished On Time % | Y | Y | DIVIDE | N | DIVIDE([Count Finished On Time SO],[Count Shop Orders]) | |
| Avg Start Earliness in Days SO | Y | N | DIVIDE | N | DIVIDE([Start Earliness Days SO],[Count Started Early SO]) | |
| Avg Tardiness Days SO | Y | N | DIVIDE | N | DIVIDE([Tardiness Days SO],[Count Tardy Shop Orders]) | |
| Total Std Level Scrap Cost SO | Y | Y | SUM | N | SUM('SHOP ORDER'[TOTAL_STD_LEVEL_SCRAP_COST]) |
Time based measures are calculated in the cube with respect to other measures. The table below defines the meaning/definition of the different time measures. These measures need to be used with a specific time dimension hierarchy [REPORTING_DATE].[RepDateMFHy].
| Measure | Meaning |
| YTD |
Aggregated value for current month in current year. E.g.
for period 202010 Ytd represents sum of periods 202000-202010. |
| R12 |
For a given period, the sum all months from one year back up to the
previous month. E.g. Rolling 12 for 202010 is the sum of months 201910
- 202009 |
| PY |
Previous Year The value of the corresponding month one year back. E.g. for month 202010, the value of month 201910. |
| YTD PY |
Year to Date Previous Year Aggregated value for corresponding month one year back. E.g. for month 202010 YTD Previous Year represents sum of months 201901-201910. |
| R12 PY |
Rolling 12 (completed) Months Previous Year For a given month, first going one year back, then taking the sum of all months from one (more) year back up to the previous month. E.g. for month 202010 the sum of month 201810-201909 |
| Avg XXX Ytd | Sum XXX YTD/Count XXX YTD |
| Avg XXX R12 | Sum XXX R12/Count XXX R12 |
| XXX % YTD | Count XXX YTD/Count YYY YTD |
| XXX % R12 | Count XXX R12/Count XXX R12 |
| Model Name |
| Production Performance |
The data source for this object is defined using IFS Developer Tool. Further Transformations are done using Power BI.
Additional information can be found in the online documentation of Information Sources.
| Model Table | BI Access View | Referenced Information Source | Recommended Access Type |
| SHOP ORDER MEASURES | FACT_SHOP_ORDER_BI | FACT_SHOP_ORDER | On Line |
This fact supports Reporting Date, i.e. a time dimension that can be used to when doing cross product/module reporting. The date chosen to connect the fact with the dimension is nvl( CLOSE_DATE, REVISED_DUE_DATE). I.e. if CLOSE_DATE has no vale REVISED_DUE_DATE is used. This date is also used when finding the currency rate for calculation of reporting currency amounts.