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Proceedings Paper

Application of combinatorial approach in packaging material selection
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Paper Abstract

Packaging material selection (PMS) problems have always been important to packaging designers and engineers. Not only does the selection of packaging material determine the costs and the environmental impacts of packaging, but also influences packaging physical characteristics and associated manufacturing methods. In order to reduce economic and environmental impacts, one has to take a holistic approach to packaging material selection by considering material effects throughout the packaging life cycle. To evaluate economic costs and environmental impacts both quantitative factors and subjective criteria play an important role in the packaging design. In the present work, fuzzy set theory is used for representing and manipulating the vague and subjective descriptions of packaging performance and design attributes. Further a genetic algorithm based approach is used for addressing the packaging material selection problem through multiple criteria decision-making. The overall approach comprises of two phases. In the first phase, fuzzy set theory is used for the linguistic transformation of performance attributes into numerical values. It results in a decision matrix that contains crisp scores. Also in this phase, a weight is assigned to each sub-criterion to show its importance compared to others. In the second phase, a GA is used to globally search for near-optimal or optimal design solutions. The implementation of the proposed methodology is illustrated through a numerical example.

Paper Details

Date Published: 8 December 2004
PDF: 17 pages
Proc. SPIE 5583, Environmentally Conscious Manufacturing IV, (8 December 2004); doi: 10.1117/12.599992
Show Author Affiliations
Lerpong Jarupan, Northeastern Univ. (United States)
Sagar V. Kamarthi, Northeastern Univ. (United States)
Surendra M. Gupta, Northeastern Univ. (United States)

Published in SPIE Proceedings Vol. 5583:
Environmentally Conscious Manufacturing IV
Surendra M. Gupta, Editor(s)

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