Decision Making using Fuzzy PROMETHEE for Reverse Supply Chain Management Outsourcing
K. Koppiahraj1, S. Bathrinath2, S. Saravanasankar3
1K. Koppiahraj, Department of Mechancical Engineering, Kalasalingam Academy of Research and Education College, Krishnankoil (Tamil Nadu), India.
2S. Bathrinath, Department of Mechancical Engineering, Kalasalingam Academy of Research and Education College, Krishnankoil (Tamil Nadu), India.
3S. Saravanasankar, Department of Mechancical Engineering, Kalasalingam Academy of Research and Education College, Krishnankoil (Tamil Nadu), India.
Manuscript received on 28 November 2019 | Revised Manuscript received on 17 December 2019 | Manuscript Published on 31 December 2019 | PP: 255-259 | Volume-8 Issue-4S2 December 2019 | Retrieval Number: D10521292S219/2019©BEIESP | DOI: 10.35940/ijrte.D1052.1284S219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The rising awareness about environmental issues and the need to outrank the competitors necessitates reverse supply chain management. By implementing reverse supply chain process, the industries are able to recapture the products value and can minimize the production cost. The implementation of reverse supply chain management requires huge investment and upgraded technology. Hence most of the manufacturing sectors are outsourcing reverse supply chain management. When it comes to outsourcing, selection of appropriate supplier becomes a problem for industries. In this study, fuzzy Preference Ranking Organization Method for Enrichment Evaluation (fuzzy PROMETHEE) methodology is applied to select the best reverse supply chain management from five alternatives by four decision makers considering ten factors.
Keywords: Environmental Issues, Fuzzy PROMETHEE, Outsourcing, Reverse Supply Chain Process.
Scope of the Article: Manufacturing Processes