Model 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.

Attributes

Attribute

Description (where applicable)

Measures (table to be generated as far as possible)

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:

Core Measure: A measure that has its origin in a core Information Source
Calculated Y/N: A measure specifically defined for the model, e.g. percentages etc. These measures do not derive from the Information Source.
Contains Time Intelligence Y/N: Some measures do also have additional time intelligence measures like Year To Date (YTD) Se separate section.
Definition/Note: Specifies if there is a specific logic behind a measure. More information might also be found in documentation for Information Sources.
Aggregation Type: Specifies the aggregation type of a measure.
Hidden Y/N: Specifies if a measure is hidden and there by not visible to the end user when browsing the model.
Tabular Expression: The DAX expression in the measure definition.

Measure	Calculated Y/N	Contains Time Intelligence Y/N	Definition/Note (where applicable)	Aggregation Type	Hidden Y/N	Tabular Expression
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])
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])
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())
Finished On Time %	Y	Y		DIVIDE	N	DIVIDE([Count Finished On Time SO],[Count Shop Orders])
Lot Size	Y	Y		SUM	N	SUM('SHOP ORDER'[LOT_SIZE])
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])
Planned Scrap %	Y	N		DIVIDE	N	DIVIDE([Qty Planned Op Scrapped SO], [Lot Size])
Qty Completed %	Y	Y			N	IF([Lot Size]<>0, [Qty Completed SO]/[Lot Size], BLANK())
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])
Scrap %	Y	Y		DIVIDE	N	DIVIDE([Qty Op Scrapped SO], [Qty Completed SO])
Start Earliness Days SO	Y	N		SUM	Y	SUM('SHOP ORDER'[EARLINESS])
Tardiness Days SO	Y	N		SUM	Y	SUM('SHOP ORDER'[TARDINESS])
Total Act Accum Cost SO	Y	Y		SUM	N	SUM('SHOP ORDER'[TOTAL_ACT_ACCUM_COST])
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	Y	Y		SUM	N	SUM('SHOP ORDER'[TOTAL_EST_ACCUM_COST])
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	Y	Y		SUM	N	SUM('SHOP ORDER'[TOTAL_STD_ACCUM_COST])
Total Std Accum Cost SO RC	Y	Y		SUMX	N	SUMX('SHOP ORDER',[REP_CURR_TOTAL_STD_ACCUM_COST]/[Currency Rate])
Total Std Level Scrap Cost SO	Y	Y		SUM	N	SUM('SHOP ORDER'[TOTAL_STD_LEVEL_SCRAP_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])

Time Intelligence Measures

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

USED BY MODEL(S)

Model Name	Product Area
Production Performance

Data source Information

The data source for this object is defined using IFS Developer Tool. The data source contains a number of transformations where the model reads data from the last step, i.e. the Data source view name (DW Source View Name).

Additional information can be found in the online documentation of Information Sources.

Model Table	DW Source view (SQL Server)	BI Access View	Referenced Information Source	Recommended Access Type
SHOP ORDER MEASURES	FACT_SHOP_ORDER_TM	FACT_SHOP_ORDER_BI	FACT_SHOP_ORDER	Data Mart

SPECIAL INFO

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.