Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1698699 | Procedia CIRP | 2016 | 6 Pages |
Abstract
Early stages of a product's design are critical for decisions impacting the entire life-cycle cost. Product designers have mastered the first generation, but they have no ability to know the impact of their decisions on multi-generational products. There is a need for tools that aim at closing the gap between total life-cycle information and the traditional design process. This paper presents a framework for a decision support tool that uses a combination of a life-cycle costing methodology and an evolutionary algorithm to assess design decisions specifically related to material selection. A case study is included to validate the new methodology.
Related Topics
Physical Sciences and Engineering
Engineering
Industrial and Manufacturing Engineering
Authors
Ryan Bradley, I.S. Jawahir, Fazleena Badurdeen, Keith Rouch,