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.
| Original language | English |
|---|---|
| Pages (from-to) | 370-375 |
| Number of pages | 6 |
| Journal | Procedia CIRP |
| Volume | 48 |
| DOIs | |
| State | Published - 2016 |
| Event | 23rd CIRP Conference on Life Cycle Engineering, LCE 2016 - Berlin, Germany Duration: May 22 2016 → May 24 2016 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 8 Decent Work and Economic Growth -
SDG 12 Responsible Consumption and Production
Keywords
- 6R
- Circular Economy
- Life-Cycle Costing
- Material Selection
- Product Design
ASJC Scopus subject areas
- Control and Systems Engineering
- Industrial and Manufacturing Engineering
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