Web based Multi Product Inventory Optimization using Genetic Algorithm | Zendy

P. Priya | Zendy; K. Iyakutti | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Web based Multi Product Inventory Optimization using Genetic Algorithm

Author(s) -

P. Priya,

K. Iyakutti

Publication year - 2011

Publication title -

international journal of computer applications

Language(s) - English

Resource type - Journals

ISSN - 0975-8887

DOI - 10.5120/3052-4155

Subject(s) - computer science , web application , genetic algorithm , product (mathematics) , algorithm , machine learning , world wide web , mathematics , geometry

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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research