How to use MCIZ - PMIS: Vehicle Consumption Analysis

SAP Transaction Code - Details

• Transaction Code: MCIZ

  Description: PMIS: Vehicle Consumption Analysis

  Release: S/4HANA and ECC 6

  Menu Path:

  • Logistics > Plant Maintenance > Information System > Standard Analyses > Vehicle Consumption Analysis
  • Logistics > Customer Service > Information System > Standard Analyses > Vehicle Consumption Analysis
  • Logistics > Logistics Controlling > PM Information System > Standard Analyses > Vehicle Consumption Analysis

• • Program: RMCI1100

    Screen: 1000

    Authorization Object:

  • Development Package: MCI

    Package Description: R/3 appl. development: Plant Maintenance Information System

    Parent Package: APPL

  • Module/Component: PM-IS-REP

    Description: Reporting

Smart SAP Assistant

• SAP Tcode: MCIZ - PMIS: Vehicle Consumption Analysis

  
  Overview:
  The SAP transaction code MCIZ is used to analyze the consumption of vehicles in the Plant Maintenance Information System (PMIS). This code allows users to view and analyze the consumption of vehicles in a graphical format. 
  
  Functionality: 
  MCIZ provides users with a graphical representation of vehicle consumption data. This includes information such as total fuel consumption, total distance traveled, and total time spent on the road. The data can be filtered by vehicle type, date range, and other criteria. Additionally, users can compare the performance of different vehicles and identify areas for improvement. 
  
  Step-by-step How to Use: 
  1. Enter the transaction code MCIZ into the SAP system. 
  2. Select the desired criteria for analysis (e.g. vehicle type, date range). 
  3. View the graphical representation of the data. 
  4. Analyze the data to identify areas for improvement. 
  5. Export the data for further analysis or reporting purposes. 
  
  Other Recommendations: 
  It is recommended that users familiarize themselves with the various options available in MCIZ before using it for analysis purposes. Additionally, users should ensure that they have access to all necessary data before beginning their analysis.