Modeling &Analysis of Supply Chain management in Inventory Optimization for deteriorating items with Genetic algorithm and Particle Swarm optimization

Abstract Six Stages - 10 Member supply chain inventory optimization and Genetic algorithm for deteriorating items in a manufacture, warehouse, three distribution centers, and three Retailer's environment and economic load dispatch using Genetic algorithm and Particle Swarm optimization. Demand is assumed to be known and constant. Shortages are not allowed and apply inflation. A warehouse is used to store the excess units over the fixed capacity of the two distribution centers. Further the application of Six Stages - 10 Member supply chain inventory system using Genetic algorithm and Particle Swarm optimization dispatching policies has been investigated in different scenarios in the model. Comparative study of two models has also been performed with the help of a numerical example. A comprehensive sensitivity analysis has also been carried out to advocate the implication of Six Stages - 10 Member supply chain inventory system using Genetic algorithm and Particle Swarm optimization dispatch policy.