Abstract
Sustainable products must be designed by considering how design decisions impact their total life cycle (TLC) sustainability content. Even more so important when designing products to incorporate the technological elements of sustainable manufacturing, the 6Rs (Reduce, Reuse, Recycle, Recover, Redesign and Remanufacture), to achieve Circular Economy (CE). This paper presents the preliminary work of an ongoing research project on developing a novel framework incorporating predictive models with TLC considerations. This unique approach develops and integrates models with associated risks, and optimizes for maximizing the sustainability benefits due to design decisions. Such predictive capability is extremely useful for process planning, where careful planning and optimization of process conditions would allow inducing favorable product performance and improved sustainability.
| Original language | English |
|---|---|
| Pages (from-to) | 11-18 |
| Number of pages | 8 |
| Journal | Procedia Manufacturing |
| Volume | 33 |
| DOIs | |
| State | Published - 2019 |
| Event | 16th Global Conference on Sustainable Manufacturing, GCSM 2018 - Lexington, United States Duration: Oct 2 2018 → Oct 4 2018 |
Bibliographical note
Publisher Copyright:© 2019 The Authors. Published by Elsevier B.V.
Keywords
- DFS
- Design for Sustainability
- Performance Optimization
- Predictive Modeling
- Product Design
- Sustainable Manufacturing
ASJC Scopus subject areas
- Artificial Intelligence
- Industrial and Manufacturing Engineering
