UWSpace is currently experiencing technical difficulties resulting from its recent migration to a new version of its software. These technical issues are not affecting the submission and browse features of the site. UWaterloo community members may continue submitting items to UWSpace. We apologize for the inconvenience, and are actively working to resolve these technical issues.
 

Multidisciplinary Design Optimization of NAFTA Supply Chains

Thumbnail Image

Files

thesis.pdf (1.93 MB)

Date

2008-09-01T18:38:59Z

Authors

Quiring, Leander

Journal Title

Journal ISSN

Volume Title

Publisher

University of Waterloo

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

Description

Keywords

Supply Chain Management, Multidisciplinary Design Optimization

LC Keywords

Citation

URI

http://hdl.handle.net/10012/3944

Collections

Theses
Management Engineering