Open AccessGreen Supplier Selection Based on Customer Needs Using Markov Chain and MCDM Method
Publication year - 2021
Publication title -
international journal of emerging trends in engineering research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.218
H-Index - 14
ISSN - 2347-3983
DOI - 10.30534/ijeter/2021/069112021
Subject(s) - multiple criteria decision analysis , selection (genetic algorithm) , markov chain , supply chain , computer science , operations research , customer needs , supplier relationship management , markov decision process , markov model , business , supply chain management , marketing , operations management , process management , markov process , machine learning , engineering , mathematics , statistics
Supplier selection is a problem that has been widely discussed and addressed from different angles, but few works address the supplier selection problem by considering the needs of customers. After a literature review of the studies done on this topic none of them considered the changing desires and behavior of customers when evaluating green suppliers. This contribution then, will aim to design a green supplier selection model based on customer need using a recent MCDM decision making method and the Markov chain. The Markov chain is used to model and track changes in customer preferences and find a transition model. Then the (BWM) method is used to select the best ecological supplier.