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      A DESIGN OPTIMIZATION FRAMEWORK TO ESTIMATE ENVIRONMENTAL IMPACT OF DESIGN DECISIONS IN CONSUMER PRODUCTS

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          Abstract

          Most products have the potential to negatively impact the environment during all life-cycle stages. However, most environmental impact assessment methods focus on a single product life-cycle and on a specific life-cycle stage. Product design plays a significant role by determining traditional environmental impacts, such as embodied energy of materials, but also by influencing market adoption and production volumes. The main objective of this work is to develop a design optimization framework that estimates the environmental impact of design decisions (e.g. materials choice, etc.) across all life-cycle stages in consumer products. The methodology relies on quality function deployment (QFD), multi-attribute utility theory, non-linear mathematical programming, and life-cycle assessment tools to estimate the utility of the design options to the customer, the producer, and the environment. The proposed framework allows designers and other decision makers to select options that are environmentally sound and also aligned with the business objectives.

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          Most cited references 13

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          “Framework for decision-based engineering design.”

           G. Hazelrigg (1998)
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            “Real and Misconceived Limitations to Decision Based Design With Utility Analysis.”

             L. Thurston (2001)
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              Design optimization framework to estimate environmental impact of deign decisions on consumer products

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                Author and article information

                Journal
                jgrb
                Journal of Green Building
                College Publishing
                1552-6100
                1943-4618
                1943-4618
                Spring 2009
                : 4
                : 2
                : 141-149
                Author notes

                1Toyota Motor Engineering & Manufacturing North America, 25 Atlantic Ave, Erlanger, KY, 41018.

                2Industrial and Systems Engineering, Rochester Institute of Technology, 81 Lomb Memorial Drive, Rochester, New York 14623-5603, corresponding author emails: alceie@ 123456rit.edu and bkteie@ 123456rit.edu .

                Article
                jgb.4.2.141
                10.3992/jgb.4.2.141
                ©2009 by College Publishing. All rights reserved.

                Volumes 1-7 of JOGB are open access and do not require permission for use, though proper citation should be given. To view the licenses, visit https://creativecommons.org/licenses/by-nc/4.0/

                Page count
                Pages: 9
                Product
                Categories
                RESEARCH ARTICLES

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