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Facility location selection in reverse logistics using a type-2 fuzzy decision aid method

  • Istanbul Technical University

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

13 Citations (Scopus)

Abstract

Location selection for the process of moving goods from their final destination to ensure proper value creation is a multi-faceted issue which requires consideration of social, economic, environmental and technical factors. The fuzzy sets theory is a good tool for dealing with complex and subjective problems which make use of implicit human judgments. Type-2 fuzzy sets provide more degrees of freedom to reflect the uncertainty and the ambiguity of real cases. The aim of this study is to suggest a multi criteria approach for the selection of the most appropriate reverse logistics facility location using a type-2 fuzzy TOPSIS methodology. Using proposed methodology, a case study from an e-waste recycling industry is conducted. In the evaluations, criteria like social acceptability, environmental risks, biodiversity conservation, operation and investment costs, energy and transportation infrastructure, legal/political environment, and growth potentials of the region are considered.

Original languageEnglish
Title of host publicationSupply Chain Management Under Fuzziness
Subtitle of host publicationRecent Developments and Techniques
PublisherSpringer Verlag
Pages591-606
Number of pages16
ISBN (Print)9783642539381
DOIs
Publication statusPublished - 2014

Publication series

NameStudies in Fuzziness and Soft Computing
Volume313
ISSN (Print)1434-9922

UN SDGs

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

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure
  2. SDG 12 - Responsible Consumption and Production
    SDG 12 Responsible Consumption and Production
  3. SDG 15 - Life on Land
    SDG 15 Life on Land

Keywords

  • Facility location selection
  • Multi criteria
  • Reverse logistics
  • TOPSIS
  • Type-2 fuzzy sets

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