ANALYSIS OF SEVEN STAGES SUPPLY CHAIN MANAGEMENT IN ELECTRONIC COMPONENT INVENTORY OPTIMIZATION FOR WAREHOUSE WITH ECONOMIC LOAD DISPATCH USING GA AND PSO

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Published: 2017-03-21

Page: 208-219


AJAY SINGH YADAV *

Department of Mathematics, SRM University, NCR Campus, Modinagar, Ghaziabad, U.P., India.

*Author to whom correspondence should be addressed.


Abstract

This paper presents a warehouse inventory model with Economic Load Dispatch using genetic algorithm Particle Swarm Optimization Algorithm processes in Seven Stages - 10 Member Supply Chain in Electronic component inventory optimization to describe the certain and uncertain market demand which is based on supply reliability and to develop more realistic and more flexible models. The demand and holding cost, both are taken variable and as linear increasing function of time. No shortages are allowed in the warehouse. This paper mainly dealt with Non –Instantaneous deteriorating items with linear time dependent holding cost and demand where transportation cost from warehouse using genetic algorithm processes in Seven Stages - 10 Member Supply Chain in Electronic component inventory optimization has been incurred and is depended upon the amount of goods transported irrespective of time, distance from also provide a general review for the application of soft computing techniques like genetic algorithms to use for improve the effectiveness and efficiency for various aspect of warehouse with Economic Load Dispatch using genetic algorithm Particle Swarm Optimization Algorithm and the capacity of vehicle used for transporting commodities.

Keywords: Supply chain, inventory optimization, warehouse, economic load dispatch, genetic algorithm, particle swarm optimization algorithm


How to Cite

YADAV, A. S. (2017). ANALYSIS OF SEVEN STAGES SUPPLY CHAIN MANAGEMENT IN ELECTRONIC COMPONENT INVENTORY OPTIMIZATION FOR WAREHOUSE WITH ECONOMIC LOAD DISPATCH USING GA AND PSO. Asian Journal of Mathematics and Computer Research, 16(4), 208–219. Retrieved from https://ikprress.org/index.php/AJOMCOR/article/view/880

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