Open AccessDecision Making using Fuzzy PROMETHEE for Reverse Supply Chain Management Outsourcing
Author(s) -
K. Koppiahraj,
Bathrinath Sankaranarayanan,
S. Saravanasankar
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.d1052.1284s219
Subject(s) - outsourcing , supply chain , supply chain management , business , competitor analysis , ranking (information retrieval) , reverse logistics , service management , multiple criteria decision analysis , fuzzy logic , operations management , industrial organization , computer science , operations research , marketing , economics , engineering , machine learning , artificial intelligence
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.