What is interval planning in SAP SCM-APO-SDM-CTM - Capable-to-Match?

SAP Term: interval planning

• Component: SCM-APO-SDM-CTM

• Component Name: Capable-to-Match

• Description: CTM planning process that subdivides the entire planning horizon of a CTM planning profile into individual intervals. CTM planning processes the intervals sequentially. For each interval, CTM first fulfills demands and then creates possible safety stock. Demands from one interval can consume receipts that were created as safety stock for a previous stock.

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• Key Concepts: 
  Interval planning is a component of the Capable-to-Match (CTM) module in SAP's Supply Chain Management (SCM), Advanced Planning and Optimization (APO), and Supply Demand Matching (SDM) suite. It is used to create a plan for the production of goods and services based on customer demand. The plan is created by taking into account the availability of resources, such as materials, labor, and machines, as well as the customer's desired delivery date. 
  
  How to use it: 
  Interval planning is used to create a plan for the production of goods and services based on customer demand. The user inputs the customer's desired delivery date, as well as the availability of resources such as materials, labor, and machines. The system then creates a plan that takes into account these factors and creates a production schedule that meets the customer's needs. 
  
  Tips & Tricks: 
  When using interval planning, it is important to ensure that all resources are accurately accounted for in order to create an accurate plan. Additionally, it is important to consider any potential delays or disruptions that may occur during production in order to ensure that the customer's desired delivery date can be met. 
  
  Related Information: 
  Interval planning is part of SAP's SCM-APO-SDM-CTM suite, which also includes other components such as demand planning, supply network planning, and global available-to-promise. Additionally, interval planning can be used in conjunction with other modules such as inventory optimization and production scheduling.