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Optimization of multiple location inventories using hybrid genetic algorithm

The thesis contributes to the body of knowledge in analyzing and optimizing inventories of multiple stocking locations in a supply chain system. Optimization model is developed for planning inventories with respect to the proposed inventory-pooling strategy. The model is solved under stochastic environment using a Hybrid Genetic Algorithm technique.

Identiferoai:union.ndltd.org:ADTP/269019
Date January 2009
CreatorsChartniyom, Siradej
Source SetsAustraliasian Digital Theses Program
LanguageEN-AUS
Detected LanguageEnglish
RightsCopyright Siridej Chartniyom 2009

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