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Web based Multi Product Inventory Optimization using Genetic Algorithm

by Priya P, Dr.K.Iyakutti
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 25 - Number 8
Year of Publication: 2011
Authors: Priya P, Dr.K.Iyakutti
10.5120/3052-4155

Priya P, Dr.K.Iyakutti . Web based Multi Product Inventory Optimization using Genetic Algorithm. International Journal of Computer Applications. 25, 8 ( July 2011), 23-28. DOI=10.5120/3052-4155

@article{ 10.5120/3052-4155,
author = { Priya P, Dr.K.Iyakutti },
title = { Web based Multi Product Inventory Optimization using Genetic Algorithm },
journal = { International Journal of Computer Applications },
issue_date = { July 2011 },
volume = { 25 },
number = { 8 },
month = { July },
year = { 2011 },
issn = { 0975-8887 },
pages = { 23-28 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume25/number8/3052-4155/ },
doi = { 10.5120/3052-4155 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:11:38.202860+05:30
%A Priya P
%A Dr.K.Iyakutti
%T Web based Multi Product Inventory Optimization using Genetic Algorithm
%J International Journal of Computer Applications
%@ 0975-8887
%V 25
%N 8
%P 23-28
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper presents an approach to optimize the reorder level (ROL) in the manufacturing unit taking consideration of the stock levels at the factory and the distribution centers of the supply chain, which in turn helps the production unit to optimize the production level and minimizing the inventory holding cost. Genetic algorithm is used for the optimization in a multi product, multi level supply chain in a web enabled environment. This prediction of optimal ROL enables the manufacturing unit to overcome the excess/ shortage of stock levels in the upcoming period.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Multi Product Inventory Optimization Genetic Algorithm

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