IPASJ INTERNATIONAL JOURNAL OF COMPUTER SCIENCE(IIJCS)

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ISSN 2321-5992

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Multi-objective Genetic algorithm optimization in Inventory model for deteriorating items with shortages using Supply Chain management, Authors : Ajay Singh Yadav, Ankur Garg, Kusum Gupta, Anupam Swami,IPASJ INTERNATIONAL JOURNAL OF COMPUTER SCIENCE(IIJCS) ,http://www.ipasj.org/IIJCS/IIJCS.htm

Volume & Issue no: Volume 5, Issue 6, June 2017


Title:
Multi-objective Genetic algorithm optimization in Inventory model for deteriorating items with shortages using Supply Chain management
Author Name:
Ajay Singh Yadav, Ankur Garg, Kusum Gupta, Anupam Swami
Abstract:
ABSTRACT A develops a supply chain inventory model for deteriorating items in a Manufacture, warehouse, distribution centers, and Retailer’s environment. Demand is assumed to be known and constant. Shortages are allowed. A warehouse is used to store the excess units over the fixed capacity of the distribution centers. Further the application of supply chain inventory optimization and Genetic algorithm 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 supply chain inventory optimization and Genetic algorithm optimization dispatch policy. Keywords:- supply chain, inventory optimization, warehouse, distribution centers, Shortages, Genetic algorithm
Cite this article:
Ajay Singh Yadav, Ankur Garg, Kusum Gupta, Anupam Swami , " Multi-objective Genetic algorithm optimization in Inventory model for deteriorating items with shortages using Supply Chain management " , IPASJ INTERNATIONAL JOURNAL OF COMPUTER SCIENCE(IIJCS), Volume 5, Issue 6, June 2017 , pp. 015-035 , ISSN 2321-5992.
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