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A comprehensive decision support model for the evaluation of eco-designs

Author

Listed:
  • X Wang

    (University of Bristol, Bristol, UK)

  • H K Chan

    (University of East Anglia, Norwich, UK)

  • L White

    (University of Bristol, Bristol, UK)

Abstract

Due to regulatory pressures from government and non-government bodies and public awareness of the need to protect the environment, incorporating sustainability concerns in product design has become a key strategic consideration in new product development. However, selecting an appropriate sustainable design solution is a challenging task. In addition to the fact that such a decision involves conflicting objectives, there is also the issue that environmental impact considerations can occur at all stages of a product’s life cycle. Modelling and assessing new product development and operations management from a life cycle assessment (LCA) perspective is becoming increasingly popular and highly important. However, on its own it is somewhat limited. This paper presents a dynamic approach that integrates LCA, fuzzy logic and analytical network process (ANP) to support the selection of environmental sustainable product designs. A numerical example is provided as an operational guideline on how to apply it to LCA of eco-designs. The results show that the proposed fuzzy ANP approach is a viable methodology and can be used as an effective tool for the evaluation of environmental sustainable product designs.

Suggested Citation

  • X Wang & H K Chan & L White, 2014. "A comprehensive decision support model for the evaluation of eco-designs," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 65(6), pages 917-934, June.
    • Handle: RePEc:pal:jorsoc:v:65:y:2014:i:6:p:917-934
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    Citations

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    Cited by:

    1. Kheybari, Siamak & Rezaie, Fariba Mahdi & Farazmand, Hadis, 2020. "Analytic network process: An overview of applications," Applied Mathematics and Computation, Elsevier, vol. 367(C).
    2. Keeheon Lee, 2021. "A Systematic Review on Social Sustainability of Artificial Intelligence in Product Design," Sustainability, MDPI, vol. 13(5), pages 1-29, March.
    3. Thies, Christian & Kieckhäfer, Karsten & Spengler, Thomas S. & Sodhi, Manbir S., 2019. "Operations research for sustainability assessment of products: A review," European Journal of Operational Research, Elsevier, vol. 274(1), pages 1-21.
    4. Zhu, Wenge & He, Yuanjie, 2017. "Green product design in supply chains under competition," European Journal of Operational Research, Elsevier, vol. 258(1), pages 165-180.
    5. Imane Ballouki & Mohammed Douimi & Latifa Ouzizi, 2018. "Decision Support Tool Selection for Eco-Design Integration into the Simultaneous Design of Product and its Supply Chain," Journal of Environmental Assessment Policy and Management (JEAPM), World Scientific Publishing Co. Pte. Ltd., vol. 20(02), pages 1-32, June.
    6. Zhang-peng Tian & Jing Wang & Jian-qiang Wang & Hong-yu Zhang, 2017. "Simplified Neutrosophic Linguistic Multi-criteria Group Decision-Making Approach to Green Product Development," Group Decision and Negotiation, Springer, vol. 26(3), pages 597-627, May.
    7. Qiu-Rui He & Ping-Kuo Chen, 2023. "Developing a green supplier evaluation system for the Chinese semiconductor manufacturing industry based on supplier willingness," Operations Management Research, Springer, vol. 16(1), pages 227-244, March.

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