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Facility Location Selection in Reverse Logistics Using a Type-2 Fuzzy Decision Aid Method

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Supply Chain Management Under Fuzziness

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 313))

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.

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Authors and Affiliations

  1. Department of Management Engineering, Istanbul Technical University, İstanbul, Turkey

    Gül Tekin Temur & Tolga Kaya

  2. Department of Industrial Engineering, Istanbul Technical University, İstanbul, Turkey

    Cengiz Kahraman

Authors
  1. Gül Tekin Temur
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  2. Tolga Kaya
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  3. Cengiz Kahraman
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Correspondence to Gül Tekin Temur .

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Editors and Affiliations

  1. Department of Industrial Engineering, Istanbul Technical University, İstanbul, Turkey

    Cengiz Kahraman

  2. Department of Industrial Engineering, Istanbul Technical University, İstanbul, Turkey

    Başar Öztayşi

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Temur, G.T., Kaya, T., Kahraman, C. (2014). Facility Location Selection in Reverse Logistics Using a Type-2 Fuzzy Decision Aid Method. In: Kahraman, C., Öztayşi, B. (eds) Supply Chain Management Under Fuzziness. Studies in Fuzziness and Soft Computing, vol 313. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-53939-8_25

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  • DOI: https://doi.org/10.1007/978-3-642-53939-8_25

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-53938-1

  • Online ISBN: 978-3-642-53939-8

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