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

  • Xiaojun Wang
  • , Hing Kai Chan
  • , Leroy A White

Research output: Contribution to journalArticle (Academic Journal)peer-review

33 Citations (Scopus)

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. As well as the fact that such a decision involves conflicting objectives, there is also the issue that environmental impacts 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 the life cycle assessment 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
Original languageEnglish
Pages (from-to)917-934
JournalJournal of the Operational Research Society
Volume65
Issue number6
Publication statusPublished - 2014

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  2. SDG 12 - Responsible Consumption and Production
    SDG 12 Responsible Consumption and Production
  3. SDG 13 - Climate Action
    SDG 13 Climate Action

Keywords

  • eco-design, life cycle assessment, analytical network process, sustainability, new product development, fuzzy sets

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