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 language | English |
|---|---|
| Title of host publication | Supply Chain Management Under Fuzziness |
| Subtitle of host publication | Recent Developments and Techniques |
| Publisher | Springer Verlag |
| Pages | 591-606 |
| Number of pages | 16 |
| ISBN (Print) | 9783642539381 |
| DOIs | |
| Publication status | Published - 2014 |
Publication series
| Name | Studies in Fuzziness and Soft Computing |
|---|---|
| Volume | 313 |
| ISSN (Print) | 1434-9922 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
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SDG 12 Responsible Consumption and Production
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SDG 15 Life on Land
Keywords
- Facility location selection
- Multi criteria
- Reverse logistics
- TOPSIS
- Type-2 fuzzy sets
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