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http://hdl.handle.net/10012/3944
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| Title: | Multidisciplinary Design Optimization of NAFTA Supply Chains |
| Authors: | Quiring, Leander |
| Keywords: | Supply Chain Management
Multidisciplinary Design Optimization |
| Approved Date: | 1-Sep-2008 |
| Date Submitted: | 29-Aug-2008 |
| Abstract: | Supply chain management is the set of tasks through which businesses acquire, process, and move raw materials and final products from suppliers through factories and distribution points to customers. The mathematical problems encountered in supply chain optimization models are difficult to solve. Free Trade Agreements can simplify the models of inter-company trade between countries. Another way to make these models more tractable is to decompose the complete supply chain into a set of small, manageable units representing businesses or business processes and optimize the system by controlling the interactions between these units. We illustrate such a model and optimize it with genetic-algorithm-controlled Multidisciplinary Design Optimization |
| Program: | Management Sciences |
| Department: | Management Sciences |
| Degree: | Master of Applied Science |
| URI: | http://hdl.handle.net/10012/3944 |
| Appears in Collections: | Faculty of Engineering Theses and Dissertations
Electronic Theses and Dissertations (UW)
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