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Selforganizology, 2017, 4(3): 41-51
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Article

Analysis of six stages supply chain management in inventory optimization for warehouse with artificial bee colony algorithm using genetic algorithm

Ajay Singh Yadav1, Prerna Maheshwari (Sharma)1, Anupam Swami2, Ankur Garg3
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 Computer Science, MIET College, Meerut, U.P., India

Received 7 February 2017;Accepted 18 March 2017;Published 1 September 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 processes in six stages - 11 member supply chain in 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 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.

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


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