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Evaluation of Green Supply Chain Management Practices Under Uncertainty Environment: Case Study in The Company for Batteries Industry
Author(s) -
Hiam Muhammad Faris,
Harith Yarub Maan
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/881/1/012085
Subject(s) - supply chain , supply chain management , multiple criteria decision analysis , purchasing , fuzzy logic , business , reverse logistics , operations management , environmental economics , computer science , operations research , marketing , engineering , economics , artificial intelligence
This work used a model of integrated the fuzzy set theory and Decision-Making Trial and Evaluation Laboratory to evaluate the green practices that can affect the green supply chain implementation in battery industry. The integrated fuzzy MCDM model is used to assess the GSCM performance in company based on green terms: green purchasing, green manufacturing, reverse logistic. Therefore, using fuzzy DEMATEL method to exploring the relationship between criteria and factors which affect other factors in GSCM. The hybrid approach presented an empirical analysis under linguistic preferences for the firm to find the critical practices that affected the GSCM performance and green practice implementation. The results showed that the economic performance and the revers logistic are the cause of the low environmental performance of the company and located in the cause group.

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