A computational simulation-based framework for estimating potential product impact during product design

The impact of engineered products is a topic of concern in society. Product impact may fall under the categories of economic, environmental or social impact, with the last category defined as the effect of a product on the day-to-day life of people. Design teams lack sufficient tools to estimate the...

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Main Authors: Christopher S. Mabey, Andrew G. Armstrong, Christopher A. Mattson, John L. Salmon, Nile W. Hatch, Eric C. Dahlin
Format: Article
Language:English
Published: Cambridge University Press 2021-01-01
Series:Design Science
Subjects:
Online Access:https://www.cambridge.org/core/product/identifier/S2053470121000160/type/journal_article
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author Christopher S. Mabey
Andrew G. Armstrong
Christopher A. Mattson
John L. Salmon
Nile W. Hatch
Eric C. Dahlin
author_facet Christopher S. Mabey
Andrew G. Armstrong
Christopher A. Mattson
John L. Salmon
Nile W. Hatch
Eric C. Dahlin
author_sort Christopher S. Mabey
collection DOAJ
description The impact of engineered products is a topic of concern in society. Product impact may fall under the categories of economic, environmental or social impact, with the last category defined as the effect of a product on the day-to-day life of people. Design teams lack sufficient tools to estimate the social impact of products, and the combined impacts of economic, environmental and social impacts for the products they are designing. This paper aims to provide a framework for the estimation of product impact during product design. To estimate product impact, models of both the product and society are required. This framework integrates models of the product, scenario, society and impact into an agent-based model to estimate product impact. Although this paper demonstrates the framework using only social impact, the framework can also be applied to economic or environmental impacts individually or all three concurrently. Agent-based modelling has been used previously for product adoption models, but it has not been extended to estimate product impact. Having tools for impact estimation allows for optimising the product design parameters to increase the potential positive impact and reduce potential negative impact.
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spelling doaj.art-d55bdbcc7fee4f5f8ddabd134cdfd2092023-03-09T12:32:01ZengCambridge University PressDesign Science2053-47012021-01-01710.1017/dsj.2021.16A computational simulation-based framework for estimating potential product impact during product designChristopher S. Mabey0https://orcid.org/0000-0002-5460-7700Andrew G. Armstrong1Christopher A. Mattson2John L. Salmon3Nile W. Hatch4Eric C. Dahlin5Department of Mechanical Engineering, Ira A. Fulton College of Engineering, Brigham Young University, Provo, UT, USADepartment of Mechanical Engineering, Ira A. Fulton College of Engineering, Brigham Young University, Provo, UT, USADepartment of Mechanical Engineering, Ira A. Fulton College of Engineering, Brigham Young University, Provo, UT, USADepartment of Mechanical Engineering, Ira A. Fulton College of Engineering, Brigham Young University, Provo, UT, USADepartment of Management, Marriott School of Business, Brigham Young University, Provo, UT, USADepartment of Sociology, College of Family, Home and Social Sciences, Brigham Young University, Provo, UT, USAThe impact of engineered products is a topic of concern in society. Product impact may fall under the categories of economic, environmental or social impact, with the last category defined as the effect of a product on the day-to-day life of people. Design teams lack sufficient tools to estimate the social impact of products, and the combined impacts of economic, environmental and social impacts for the products they are designing. This paper aims to provide a framework for the estimation of product impact during product design. To estimate product impact, models of both the product and society are required. This framework integrates models of the product, scenario, society and impact into an agent-based model to estimate product impact. Although this paper demonstrates the framework using only social impact, the framework can also be applied to economic or environmental impacts individually or all three concurrently. Agent-based modelling has been used previously for product adoption models, but it has not been extended to estimate product impact. Having tools for impact estimation allows for optimising the product design parameters to increase the potential positive impact and reduce potential negative impact.https://www.cambridge.org/core/product/identifier/S2053470121000160/type/journal_articlesustainabilityagent-based simulationsocial impactsystems engineering
spellingShingle Christopher S. Mabey
Andrew G. Armstrong
Christopher A. Mattson
John L. Salmon
Nile W. Hatch
Eric C. Dahlin
A computational simulation-based framework for estimating potential product impact during product design
Design Science
sustainability
agent-based simulation
social impact
systems engineering
title A computational simulation-based framework for estimating potential product impact during product design
title_full A computational simulation-based framework for estimating potential product impact during product design
title_fullStr A computational simulation-based framework for estimating potential product impact during product design
title_full_unstemmed A computational simulation-based framework for estimating potential product impact during product design
title_short A computational simulation-based framework for estimating potential product impact during product design
title_sort computational simulation based framework for estimating potential product impact during product design
topic sustainability
agent-based simulation
social impact
systems engineering
url https://www.cambridge.org/core/product/identifier/S2053470121000160/type/journal_article
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