Abstract
A supply chain is a network of suppliers, manufacturing plants, warehouses, and distribution channels organized to acquire raw materials, convert these raw materials to finished products, and distribute these products to customers. Linear Programming is a wide used technique to optimize Supply Chain decisions. In the crisp case, every parameter value is certain whereas in real life, the data is rather fuzzy than crisp. The fuzzy set theory has the capability of modeling the problems with vague information. In this paper, a fuzzy optimization model for supply chain problems will be developed under vague information. A numerical example will be given to show the usability of the fuzzy model.
| Original language | English |
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| Title of host publication | Applied Artificial Intelligence - Proceedings of the 7th International FLINS Conference, FLINS 2006 |
| Editors | Pierre D'Hondt, Etienne E. Kerre, Da Ruan, Martine De Cock, Mike Nachtegael, Paolo F. Fantoni |
| Publisher | World Scientific Publishing Co. Pte Ltd |
| Pages | 321-328 |
| Number of pages | 8 |
| ISBN (Electronic) | 9812566902, 9789812566904 |
| DOIs | |
| Publication status | Published - 2006 |
| Event | Applied Artificial Intelligence - 7th International Fuzzy Logic and Intelligent Technologies in Nuclear Science Conference, FLINS 2006 - Genova, Italy Duration: 29 Aug 2006 → 31 Aug 2006 |
Publication series
| Name | Applied Artificial Intelligence - Proceedings of the 7th International FLINS Conference, FLINS 2006 |
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Conference
| Conference | Applied Artificial Intelligence - 7th International Fuzzy Logic and Intelligent Technologies in Nuclear Science Conference, FLINS 2006 |
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| Country/Territory | Italy |
| City | Genova |
| Period | 29/08/06 → 31/08/06 |
Bibliographical note
Publisher Copyright:© 2006 by World Scientific Publishing Co. Pte. Ltd.