Home

Selforganizology, 2018, 5(1-2): 1-9
[XML] [EndNote] [RefManager] [BibTex] [ Full PDF (136K)] [Comment/Review Article]

Article

A supply chain management of chemical industry for deteriorating items with warehouse using genetic algorithm

Ajay Singh Yadav1, Prerna Sharma1, Anupam Swami2, Garima Pandey1
1SRM Institute of Science and Technology (formerly SRM University), Delhi-NCR Campus, Ghaziabad, U.P., India
2Govt. P.G. College, Sambhal, U.P., India

Received 7 May 2018;Accepted 15 May 2018;Published 1 June 2018
IAEES

Abstract
This study discussed the supply chain inventory optimization of chemical industry and genetic algorithm for deteriorating items in a manufacture of chemical industry, warehouse of chemical industry, three distribution centers of chemical industry, and three retailer's of chemical industry environment using genetic algorithm. Demand is assumed to be known and constant. Shortages of chemical industry are not allowed and apply inflation of chemical industry. A warehouse of chemical industry is used to store the excess units over the fixed capacity of the two distribution centers of chemical industry. Further supply chain inventory optimization of chemical industry and genetic algorithm optimization dispatching policies was investigated in different scenarios in the model.

Keywords supply chain of chemical industry;inventory optimization of chemical industry;warehouse of chemical industry;retailer's of chemical industry;distribution centers of chemical industry;genetic algorithm.


International Academy of Ecology and Environmental Sciences. E-mail: office@iaees.org
Copyright © 2009-2024 International Academy of Ecology and Environmental Sciences. All rights reserved.
Web administrator: office@iaees.org, website@iaees.org; Last modified: 2024/4/25


Translate page to: