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Selforganizology, 2017, 4(4): 52-64
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Analysis of electronic component inventory optimization in six stages supply chain management for warehouse with ABC using genetic algorithm and PSO

Ajay Singh Yadav¹, Anupam Swami², C. B. Gupta³, Ankur Garg⁴
¹Department of Mathematics, SRM University, Delhi-NCR Campus, Modinagar, Ghaziabad, U.P., India
²Department of Mathematics, Govt. P.G. College, Sambhal, U.P., India
³Department of Mathematics, Department of Mathematics, Birla institute of Technology and Science, Pilani, Rajasthan, India
⁴Department of Computer Science, MIET College, Meerut, U.P., India

Received 8 February 2017;Accepted 15 March 2017;Published 1 December 2017
IAEES

Abstract
The purpose of the proposed study is to give a new dimension on warehouse with artificial bee colony algorithm using genetic algorithm and particle swarm optimization algorithm processes in six stages - 11 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. We hope that the proposed study has a great potential to solve various practical tribulations related to the warehouse using genetic algorithm processes in six stages - 11 member supply chain in electronic component inventory optimization and 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 artificial bee colony algorithm using genetic algorithm and particle swarm optimization algorithm.

Keywords supply chain;inventory optimization;warehouse;artificial bee colony algorithm;genetic algorithm;particle swarm optimization algorithm.

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