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Transaction Code: OMOK
Description: Var.analyses std. options std. ext.
Release: S/4HANA and ECC 6
Program: SAPMMCSC
Screen: 100
Authorization Object: M_CUST_MCS
Development Package: MCS
Package Description: R/3 application development: Logistics Information Warehouse
Parent Package: APPL
Module/Component: LO-LIS-DC
Description: Data Collection
Overview: The SAP transaction code OMOK is used to access the Variance Standard Analyses External Standard Settings. This tool allows users to analyze and compare the actual costs of a production order with the standard costs that have been set for the same order. Functionality: The OMOK transaction code provides users with a comprehensive overview of the cost variance between the actual and standard costs of a production order. It also allows users to view the cost components of each order, such as material, labor, and overhead costs. Additionally, users can use this tool to analyze and compare the cost variances between different production orders. Step-by-step How to Use: 1. Enter the transaction code OMOK in the command field. 2. Select the production order you wish to analyze from the list of available orders. 3. Select “Variance Analysis” from the menu bar. 4. Select “External Standard Settings” from the drop-down menu. 5. The system will display a comparison between the actual and standard costs for the selected production order. 6. To view more detailed information about each cost component, select “Cost Components” from the menu bar. 7. The system will display a breakdown of each cost component for the selected production order. 8. To compare cost variances between different production orders, select “Compare Variance” from the menu bar. 9. The system will display a comparison between the actual and standard costs for all selected production orders. 10. To exit, select “Back” from the menu bar or press F3 on your keyboard. Other Recommendations: It is recommended that users familiarize themselves with all of the features available in this tool before using it to analyze production orders. Additionally, users should ensure that they have access to accurate and up-to-date standard cost data before using this tool to analyze cost variances between different production orders.
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