What is genetic algorithm in SAP SCM-APO-PPS-MMP - Model Mix Planning?

SAP Term: genetic algorithm

• Component: SCM-APO-PPS-MMP

• Component Name: Model Mix Planning

• Description: Mathimatical optimizing procedure which is used to determine the order sequence on a line in the short-term horizon. As the procedure is carried out, the system creates several sequences which it then evaluates. The sequence with the best evaluaton is then passed on to planning.

Smart SAP Assistant

• Key Concepts: 
  A genetic algorithm is a type of optimization algorithm used in SAP's Model Mix Planning (MMP) component of the Advanced Planner and Optimizer (APO) module of the Supply Chain Management (SCM) suite. It is a heuristic search technique that mimics the process of natural selection, using a population of potential solutions to a problem and iteratively improving them over time. 
  
  How to use it: 
  The genetic algorithm works by creating a population of potential solutions to a problem, then evaluating each solution based on its fitness. The most fit solutions are then selected and combined to create new solutions, which are then evaluated and combined again. This process is repeated until an optimal solution is found. 
  
  Tips & Tricks: 
  When using the genetic algorithm in SAP's Model Mix Planning, it is important to set the parameters correctly. This includes setting the population size, mutation rate, crossover rate, and selection criteria. It is also important to ensure that the fitness function accurately reflects the desired outcome. 
  
  Related Information: 
  The genetic algorithm is just one of many optimization algorithms available in SAP's Model Mix Planning component. Other algorithms include linear programming, simulated annealing, and tabu search. Additionally, there are many other optimization algorithms available outside of SAP's Model Mix Planning component.