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Component: SCM-APO-PPS-MMP
Component Name: Model Mix Planning
Description: Procedure for scheduling large order quantities orders with lot size 1 of multi-variant products in the short-term horizon in make-to-order production. The heuristic defines the order sequence on a line and can therefore be used as an alternative to the genetic algorithm if you are trying to solve problem situations with mainly hard restrictions.
Key Concepts: Slotting heuristic is a planning tool used in Model Mix Planning (MMP) within the Advanced Planner and Optimizer (APO) module of the Supply Chain Management (SCM) suite of SAP software. It is used to optimize the placement of products in a warehouse, based on their size, weight, and other characteristics. The goal is to maximize the efficiency of the warehouse by minimizing the amount of space needed to store products. How to use it: The slotting heuristic tool can be used to determine the best placement for products in a warehouse. It takes into account factors such as size, weight, and other characteristics of the products. The tool then generates a plan that maximizes the efficiency of the warehouse by minimizing the amount of space needed to store products. Tips & Tricks: When using the slotting heuristic tool, it is important to consider all relevant factors when determining the best placement for products in a warehouse. Factors such as size, weight, and other characteristics should be taken into account when generating a plan. Additionally, it is important to consider any potential constraints that may affect the placement of products in a warehouse. Related Information: The slotting heuristic tool is part of SAP's Advanced Planner and Optimizer (APO) module within its Supply Chain Management (SCM) suite of software. Other tools within APO include Demand Planning, Supply Network Planning, and Production Planning and Detailed Scheduling. Additionally, SAP offers a variety of other software solutions for supply chain management, including Warehouse Management and Transportation Management.