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Decision support model of environmentally friendly and economical material strategy for life cycle cost and recyclable weight

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  • Kinoshita, Yuki
  • Yamada, Tetsuo
  • Gupta, Surendra M.
  • Ishigaki, Aya
  • Inoue, Masato

Abstract

Materials and parts selection in product design phase will affect procurement cost, assembly cost and recycling costs in manufacturing phase. Similar to such costs, recyclable weight depends on material types due to different material manufacturing processes. As material shortages have increased, environmentally friendly and economical material selection is required. Since assembly products consist of various parts made of different materials, it is difficult and complex to evaluate recyclable weight and costs simultaneously in the assembly product design. This selection is considered as a multi-criteria decision-making problem in which objective functions have trade-off relationships. Thus, a decision support model is required to enable product designers to evaluate alternative material in terms of both environmental and economic aspects among procurement, assembly, and recycling. As a method of solving the multi-criteria decision-making problems, goal programming is recognized as one of the effective ways of evaluating the different objective functions simultaneously.

Suggested Citation

  • Kinoshita, Yuki & Yamada, Tetsuo & Gupta, Surendra M. & Ishigaki, Aya & Inoue, Masato, 2020. "Decision support model of environmentally friendly and economical material strategy for life cycle cost and recyclable weight," International Journal of Production Economics, Elsevier, vol. 224(C).
    • Handle: RePEc:eee:proeco:v:224:y:2020:i:c:s0925527319303718
    DOI: 10.1016/j.ijpe.2019.107545
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    References listed on IDEAS

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    1. Awanis Romli & Paul Prickett & Rossitza Setchi & Shwe Soe, 2015. "Integrated eco-design decision-making for sustainable product development," International Journal of Production Research, Taylor & Francis Journals, vol. 53(2), pages 549-571, January.
    2. Marsillac, Erika & Roh, James Jungbae, 2014. "Connecting product design, process and supply chain decisions to strengthen global supply chain capabilities," International Journal of Production Economics, Elsevier, vol. 147(PB), pages 317-329.
    3. Marcus Brandenburg, 2015. "Low carbon supply chain configuration for a new product – a goal programming approach," International Journal of Production Research, Taylor & Francis Journals, vol. 53(21), pages 6588-6610, November.
    4. Johnson, Michael & Kirchain, Randolph, 2009. "Quantifying the effects of parts consolidation and development costs on material selection decisions: A process-based costing approach," International Journal of Production Economics, Elsevier, vol. 119(1), pages 174-186, May.
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    Cited by:

    1. Tan Ching Ng & Sie Yee Lau & Morteza Ghobakhloo & Masood Fathi & Meng Suan Liang, 2022. "The Application of Industry 4.0 Technological Constituents for Sustainable Manufacturing: A Content-Centric Review," Sustainability, MDPI, vol. 14(7), pages 1-21, April.
    2. Mei, Yueru & Geng, Yong & Chen, Zhujun & Xiao, Shijiang & Gao, Ziyan, 2024. "Ensuring the sustainable supply of semiconductor material: A case of germanium in China," International Journal of Production Economics, Elsevier, vol. 271(C).

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