Abstract
The recent trends in modularization facilitate the automation of product design leveraging digital design repository in global manufacturing environment. This paper proposes a method to find k-best designs. We formulate the problem using integer programming to obtain the optimal solution, and use cutting planes to find the next best solution. k-best design solutions provide manufacturers or product designers with more holistic view on the feasible solution space than the sole optimal solution. The k-best solutions help suppliers assess the competitiveness of their modules. We show how k-best design solutions can be utilized in product design practices through a case study.
Original language | English (US) |
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Pages (from-to) | 481-484 |
Number of pages | 4 |
Journal | CIRP Annals - Manufacturing Technology |
Volume | 59 |
Issue number | 1 |
DOIs | |
State | Published - Apr 16 2010 |
All Science Journal Classification (ASJC) codes
- Mechanical Engineering
- Industrial and Manufacturing Engineering