Green supply chain management performance in automobile manufacturing industry under uncertainty

Increasing pressures and challenges to improve economic and environmental performance have caused developing countries in general and automobile manufacturing firms in particular to consider and start implementing green supply chain management. It is emerging as an important approach which not only reduces environmental issues but also brings economic benefit to manufacturers. Recently, there are intensive studies on the issues, which have been dealt with extensively by practitioners and academicians. However, studies on performance evaluations are few. In responses this study explores the criteria that influence the performance of the automobile manufacturing industry, using the fuzzy set theory and Decision Making Trial and Evaluation Laboratory. The hybrid method evaluates its performance to find key criteria in improving the manufacturers’ green performance. Findings show that the increase of cost for purchasing environmentally friendly material is the most influential and significant criterion, while the pollution control initiatives is the most effective criterion. Managerial implications are also discussed and concluding remarks are made.