Modeling &Analysis of Supply Chain management in Inventory Optimization for deteriorating items with Genetic algorithm and Particle Swarm optimization
Journal: International Journal of Application or Innovation in Engineering & Management (IJAIEM) (Vol.6, No. 6)Publication Date: 2017-07-14
Authors : Ajay Singh Yadav; Prerna Maheshwari Sharma; Ankur Garg; Anupam Swami; Geethanjali Kher;
Page : 86-107
Keywords : Keywords:- supply chain; inventory optimization; warehouse; three Retailer’s; three distribution centers; Genetic algorithm and Particle Swarm optimization.;
Abstract
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.
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Last modified: 2017-07-22 22:22:32