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.
| Identifer | oai:union.ndltd.org:ADTP/269019 |
| Date | January 2009 |
| Creators | Chartniyom, Siradej |
| Source Sets | Australiasian Digital Theses Program |
| Language | EN-AUS |
| Detected Language | English |
| Rights | Copyright Siridej Chartniyom 2009 |
Page generated in 0.0018 seconds