A total life cycle approach for developing predictive design methodologies to optimize product performance

Buddhika M. Hapuwatte, I. S. Jawahir

Research output: Contribution to journalConference articlepeer-review

10 Scopus citations

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 languageEnglish
Pages (from-to)11-18
Number of pages8
JournalProcedia Manufacturing
Volume33
DOIs
StatePublished - 2019
Event16th Global Conference on Sustainable Manufacturing, GCSM 2018 - Lexington, United States
Duration: Oct 2 2018Oct 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

  • Industrial and Manufacturing Engineering
  • Artificial Intelligence

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