1. SAP Glossary
  2. Supply Network Planning (SNP)
  3. replenishment plan


What is replenishment plan in SAP SCM-APO-SNP - Supply Network Planning (SNP)?


SAP Term: replenishment plan

  • Component: SCM-APO-SNP

  • Component Name: Supply Network Planning (SNP)

  • Description: The transport orders and manufacturing orders that make up the replenishment plan and result from the SNP run. The SNP run can be performed for the whole supply chain or for a specific location. The replenishment plan is relevant for the selected product and locations of the model using lot size profiles, inbound quotas, and the location split.


Smart SAP Assistant

  • Key Concepts: 
    Replenishment plan is a component of SAP Supply Network Planning (SNP) that helps to determine the optimal order quantity and timing for replenishing materials. It takes into account the current stock levels, demand forecasts, and other factors to determine the most efficient way to replenish materials. 
    
    How to use it: 
    Replenishment plan can be used to create a plan for replenishing materials in a supply chain. It takes into account the current stock levels, demand forecasts, and other factors to determine the optimal order quantity and timing for replenishing materials. The plan can then be used to generate purchase orders or production orders for the materials. 
    
    Tips & Tricks: 
    When using replenishment plan, it is important to ensure that the data used is accurate and up-to-date. This includes ensuring that demand forecasts are accurate and that stock levels are up-to-date. Additionally, it is important to consider any external factors that may affect the replenishment plan such as seasonal fluctuations in demand or changes in supplier availability. 
    
    Related Information: 
    Replenishment plan is part of SAP Supply Network Planning (SNP). Other components of SNP include Demand Planning, Production Planning/Detailed Scheduling, and Global Available-to-Promise. Additionally, SAP Advanced Planning & Optimization (APO) provides additional features such as optimization algorithms and simulation capabilities.
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