In this course, students will get to know the concepts and processes of supply chain planning in SAP SCM (APO). This foundation knowledge is mandatory in order for students to have the confidence to complete the subsequent configuration courses.


* Actual course outline may vary depending on offering center. Contact your sales representative for more information.

Learning Objectives

The course introduces you to the concepts and procedures of supply chain planning in SAP SCM (APO). It demonstrates how to forecast future sales and the release of the forecast. The course outlines the different possibilities to create feasible plans for cross-location planning and to achieve a finite detailed plan for certain plants. *You determine feasible stock transfers with deployment functionality and confirm sales orders using Global Available- to-Promise.

  • Supply Chain Planning

  • Defining Supply Chain Planning
    Outlining Supply Chain Planning

  • Master Data & Transaction Data

  • Outlining Supply Chain Master Data
    Outlining Master Data Mapping
    Integrating Transaction Data in Supply Chain Planning

  • Demand Planning

  • Outlining Demand Planning (DP)
    Executing Demand Planning
    Releasing the Demand Plan

  • Cross-Location Planning

  • Outlining Supply Network Planning (SNP)
    Integrating Supply Network Planning
    Applying Cross-Location Planning Procedures

  • Production Planning and Detailed Scheduling

  • Outlining Production Planning and Detailed Scheduling (PP/DS)
    Applying Production Planning and Detailed Scheduling

  • Deployment and Availability Check

  • Planning Deployment
    Checking the Availability of Customer Demand

  • New User Interfaces for SAP SCM

  • Identifying the Functionality of Developments in SAP SCM


The primary audience for this course are Application Consultants, Business Process Architects, Business Process Owners/Team Leads/Power Users, Enterprise Architects, and Solution Architects.




SCM100: Business Processes in Planning (SAP ERP) PLM100: Business Processes in Life-Cycle Data Management


Length: 2.0 days (16 hours)


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