• DocumentCode
    2931256
  • Title

    Optimizing the fuzzy closed-loop supply chain for electrical and electronic products

  • Author

    Phan Nguyen Ky Phuc ; Yu, Vincent F. ; Shou-Yan Chou

  • Author_Institution
    Dept. of Ind. Manage., Nat. Taiwan Univ. of Sci. & Technol., Taipei, Taiwan
  • fYear
    2012
  • fDate
    16-18 Nov. 2012
  • Firstpage
    316
  • Lastpage
    321
  • Abstract
    The rapid development of the electrical and electronic products (EEPs) market in recent years has created both positive and negative impacts on the environment and humans. In order to achieve sustainable development, the most critically negative impacts - i.e., waste EEP (WEEP) - must be properly handled, such as disposal, remanufacturing, recycling, reusing, to name a few. Among the suggested solutions for solving these issues, closed-loop supply chain management has proven to be a highly potential candidate due to its efficiency, effectiveness, and economics. This paper presents a model of multi-EEP closed-loop supply chain (CLSC) systems with fuzzy parameters. The proposed model is transformed into the equivalent auxiliary crisp model by appropriate approach, and the final preferred compromise solutions are also found.
  • Keywords
    WEEE Directive; electrical products; electronic products; fuzzy set theory; recycling; supply chain management; sustainable development; waste disposal; EEP market; WEEP disposal; WEEP recycling; WEEP remanufacturing; WEEP reuse; auxiliary crisp model; electrical-and-electronic products; fuzzy closed-loop supply chain management; fuzzy parameter; sustainable development; waste EEP; Educational institutions; Indexes; Materials; Mathematical model; Supply chains; Transportation; Uncertainty; Closed-loop supply chain management; Electrical and Electronics Products; Fuzzy; Multi-product; Multiechelon;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Theory and it's Applications (iFUZZY), 2012 International Conference on
  • Conference_Location
    Taichung
  • Print_ISBN
    978-1-4673-2057-3
  • Type

    conf

  • DOI
    10.1109/iFUZZY.2012.6409723
  • Filename
    6409723