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 Avg. Cycle Time Delayed Deliveries POD


The analytical app displays the Key Performance Indicator (KPI) Average Cycle Time Delayed Deliveries (POD) (proof of delivery). You can display the typical cycle time of deliveries that arrived late at their destinations. (The cycle time is the time between the actual event dates and times of: when picking begins, PICKBEG, and the last event POD) The deliveries are part of the SAP Event Management visibility scenario Deliveries in LTL_Shipment, (less than truck load delivery).

Key Features

  • Calculation rules: The query delivers the average cycle time in hours for deliveries with delayed PODs in LTL_Shipment (SAP Event Management visibility scenario) that meet the following conditions

    • a transportation status 'ARRIVED' and

    • the expected event POD is reported late (actual event date and time for event POD is later than expected event date and time)

    Also delivered are the total number of deliveries, the cycle time and the actual event date and time of POD. In addition several attributes and dates are given for a possible drilldown.

  • Generic drill down: You can use the following measure: AverageCycleTimeInHours_SUM

    For more information about available filters, see App Implementation: Avg. Cycle Time Delayed Deliveries POD.

  • The business benefit of this KPI is that it provides possible insights into ways to optimize the average cycle time.

System Landscape Requirements

The app consists of front-end components and back-end components. The back-end components and the front-end components are delivered in separate products and have to be installed in a system landscape that is enabled for SAP Fiori.

SAP Smart Business Product

SAP Smart Business for event management 1.0 SPS 6

Contains Virtual Data Model (VDM)

SAP HANA Analytics for EM 1.0 SPS 6

SAP Business Suite Product

SAP Event Management 9.0 SPS 4

For more information about the system landscape to run SAP Smart Business cockpits, see Installation.

Component for Customer Incidentss

Analytics based on HANA DB (SCM-EM-VDM)