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

Buddhika M. Hapuwatte; I. S. Jawahir

doi:10.1016/j.promfg.2019.04.003

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

Buddhika M. Hapuwatte
, I. S. Jawahir

Research output: Contribution to journal › Conference article › peer-review

18 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 language	English
Pages (from-to)	11-18
Number of pages	8
Journal	48th SME North American Manufacturing Research Conference, NAMRC 48
Volume	33
DOIs	https://doi.org/10.1016/j.promfg.2019.04.003
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.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 8 Decent Work and Economic Growth
SDG 9 Industry, Innovation, and Infrastructure
SDG 12 Responsible Consumption and Production

Keywords

DFS
Design for Sustainability
Performance Optimization
Predictive Modeling
Product Design
Sustainable Manufacturing

ASJC Scopus subject areas

Artificial Intelligence
Industrial and Manufacturing Engineering

Access to Document

10.1016/j.promfg.2019.04.003

Cite this

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title = "A total life cycle approach for developing predictive design methodologies to optimize product performance",

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.",

keywords = "DFS, Design for Sustainability, Performance Optimization, Predictive Modeling, Product Design, Sustainable Manufacturing",

author = "Hapuwatte, \{Buddhika M.\} and Jawahir, \{I. S.\}",

note = "Publisher Copyright: {\textcopyright} 2019 The Authors. Published by Elsevier B.V.; 16th Global Conference on Sustainable Manufacturing, GCSM 2018 ; Conference date: 02-10-2018 Through 04-10-2018",

year = "2019",

doi = "10.1016/j.promfg.2019.04.003",

language = "English",

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AU - Hapuwatte, Buddhika M.

AU - Jawahir, I. S.

PY - 2019

Y1 - 2019

N2 - 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.

AB - 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.

KW - DFS

KW - Design for Sustainability

KW - Performance Optimization

KW - Predictive Modeling

KW - Product Design

KW - Sustainable Manufacturing

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U2 - 10.1016/j.promfg.2019.04.003

DO - 10.1016/j.promfg.2019.04.003

M3 - Conference article

AN - SCOPUS:85068546654

VL - 33

SP - 11

EP - 18

JO - 48th SME North American Manufacturing Research Conference, NAMRC 48

JF - 48th SME North American Manufacturing Research Conference, NAMRC 48

T2 - 16th Global Conference on Sustainable Manufacturing, GCSM 2018

Y2 - 2 October 2018 through 4 October 2018

ER -

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

Abstract

Bibliographical note

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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