SPPBRD: A decision framework for scalable product platform based robust design.
Date of Award
Industrial and Manufacturing Systems Engineering
Engineering, System Science.
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Today's competitive and highly volatile market is redefining the way companies do business. A main competitive advantage for many companies is the ability to bring the products to market faster. An effective method to get the advantage is to develop product platforms. This thesis develops a methodology to assist companies in creating product platforms quickly and efficiently. The thesis focuses on building a model for scalable product platforms and developing a framework for the Scalable Product Platform Based Robust Design since there are many researches on module-based product platform and no systematic framework for scalable product platform. In the methodology, the two-stage approach, multiple-objectives, compromise decision support problem (compromise DSP), and robust design are integrated to build the decision model. The model consists of eight steps that describe how to formulate the problem and how it can be solved. (Abstract shortened by UMI.)Dept. of Industrial and Manufacturing Systems Engineering. Paper copy at Leddy Library: Theses & Major Papers - Basement, West Bldg. / Call Number: Thesis2006 .W36. Source: Masters Abstracts International, Volume: 45-01, page: 0468. Thesis (M.A.Sc.)--University of Windsor (Canada), 2006.
Wang, Caiyun., "SPPBRD: A decision framework for scalable product platform based robust design." (2006). Electronic Theses and Dissertations. 3567.