A New MRP Optimization Algorithm Based on Multi-Objective Genetic Evolution

摘要

This paper takes integrated optimization of Material Requirements Planning (MRP) and Capacity Requirements Planning (CRP) as research intention,builds a novel multi-objective optimization algorithm of MRP and CRP based on genetic evolution, and designs the proper genetic operators which take the integrated configuration of productive requirement and resource requirement into account. Thereby, it is proved that the novel MRP algorithm based on genetic evolution is superior to the conventional MRP algorithm.