MCPS - Operation analysis: Lead time

SAP Transaction Code - Details

• Transaction Code: MCPS

  Description: Operation analysis: Lead time

  Release: S/4HANA and ECC 6

  Menu Path:

  • Information Systems > Logistics > Production > Work center > Operation analysis > Lead times
  • Information Systems > General Report Selection > Production Planning > Information Systems > Production Order Processing > Operation Analysis: Lead Time

• • Program: RMCF0200

    Screen: 1000

    Authorization Object:

  • Development Package: MCF

    Package Description: R/3 application development: Shop Floor Information System

    Parent Package: APPL

  • Module/Component: PP-IS

    Description: Information System

Smart SAP Assistant

• SAP Tcode: MCPS - Operation analysis: Lead time

  
  Overview:
  The SAP transaction code MCPS is used to analyze the lead time of operations in a production order. It provides a detailed overview of the lead time for each operation in the production order, allowing users to identify any potential delays or bottlenecks. 
  
  Functionality: 
  The MCPS transaction code allows users to view the lead time for each operation in a production order. It also provides an overview of the total lead time for the entire production order. Additionally, it can be used to compare the lead times of different operations and identify any potential delays or bottlenecks. 
  
  Step-by-step How to Use: 
  1. Enter the transaction code MCPS into the command field. 
  2. Enter the production order number into the Order field. 
  3. Select the operations you want to analyze from the list of available operations. 
  4. Click on “Execute” to view the lead times for each operation in the production order. 
  5. Compare the lead times of different operations and identify any potential delays or bottlenecks. 
  
  Other Recommendations: 
  It is recommended that users use this transaction code regularly to monitor and analyze the lead times of their production orders. This will help them identify any potential delays or bottlenecks and take corrective action if necessary. Additionally, users should ensure that they have sufficient resources available to complete their production orders on time.