You can use parallel processing with many functions in Product Cost Controlling. Parallel processing refers to the processing of objects on multiple servers simultaneously (in parallel). Parallel processing is supported for the following functions:
For information on parallel processing in Product Cost Planning, refer to the following section:
Data collection for summarization hierarchies, order hierarchies, and product drilldowns in the information system (see Product Cost Controlling Information System below)
Period-End Closing in Cost Object Controlling
To improve system performance in the period-end closing process of Cost Object Controlling, you can take steps to ensure that objects with a particular status are excluded from the period-end closing transactions. For more information, refer to the following sections:Period-End Closing in Product Cost by Period Reorganization of Product Cost Collectors Period-End Closing in Product Cost by Order: Scenario Reorganization of Manufacturing Orders Period-End Closing in Product Cost by Sales Order: Scenario
In collective processing of variance calculation, do not set the Detail list indicator. For information on how to use the Detail list indicator effectively, refer to the sectionVariance Calculation.
In case of performance problems in WIP-calculation, variance calculation, and in the calculation of scrap variances, refer to Note 66612 in SAPNet - Web Frontend.
If you are using internal orders that carry costs and revenues and are experiencing performance problems in the period-end closing process, refer to Note 45920 in SAPNet - Web Frontend.
If you have no access to SAPNet - Web Frontend, contact the SAP Hotline.
Product Cost Controlling Information System
For tips on how to improve performance in the Product Cost Controlling Information System, see the following sections:Classification (only for order hierarchies or when user-defined characteristics are used): This section provides information on when the use of classification is advantageous and how you can avoid associated performance problems. Data Collection for Product Drilldown Collecting Data for Product Drilldown: This section includes information on how to use parallel processing with data collection runs for product drilldowns. Data Collection for Summarization Hierarchy Executing Data Collection for Summarization Hierarchies: This section includes information on how to use parallel processing with data collection runs for summarization hierarchies. Selection Parameters for Order Selection Sales Order Selection Selection Parameters for Sales Order Selection