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A FRAMEWORK FOR PREDICTING POTENTIAL PRODUCT IMPACT DURING PRODUCT DESIGN

Published online by Cambridge University Press:  27 July 2021

Christopher S. Mabey ,
Andrew G. Armstrong ,
Christopher A. Mattson ,
John L. Salmon  and
Nile W. Hatch
Christopher S. Mabey*
Affiliation:
Brigham Young University
Andrew G. Armstrong
Affiliation:
Brigham Young University
Christopher A. Mattson
Affiliation:
Brigham Young University
John L. Salmon
Affiliation:
Brigham Young University
Nile W. Hatch
Affiliation:
Brigham Young University
*
Mabey, Christopher S., Brigham Young University, Mechanical Engineering, United States of America, csmabey@gmail.com

Abstract

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The impact of products is becoming a topic of concern in society. Product impact may fall under the categories of economic, environmental, or social impact and is defined by the effect of a product on day-to-day life. Design teams lack sufficient tools to predict the impact of products they are designing. In this paper we present a framework for the prediction of product impact during product design. This framework integrates models of the product, scenario, society, and impact into an agent-based model to predict product impact. Although this paper focuses on social impact, the framework can also be applied to economic or environmental impacts. An illustration of using the framework is also presented. Agent-based modeling has been used previously for adoption models, but it has not been extended to predict product impact. Having tools for impact prediction allows for optimizing the product design parameters to increase potential positive impact and reduce potential negative impact.

Keywords

Product modelling / modelsSocial responsibilitySocietal consequences
Type
Article
Information
Proceedings of the Design Society , Volume 1: ICED21 , August 2021 , pp. 101 - 110
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2021. Published by Cambridge University Press

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