Analyzing the drivers of green manufacturing with fuzzy approach

Kannan Govindan, Ali Diabat, K. Madan Shankar

Research output: Contribution to journalArticlepeer-review


Abstract Green issues have gained more importance in contemporary globalization. Recent years have seen manufacturing processes understand the green issues due to the social and environmental concerns involved. The drivers of green manufacturing, however, have not been thoroughly investigated. Thus, this paper investigates the responsibility of identifying twelve common drivers of green manufacturing from the combined assistance of existing literature, industrial managers, and expert opinion in the relevant field. A questionnaire on these common drivers was circulated among 120 leading firms in south India, and aided by their replies; a pair-wise comparison was made among the drivers. The pair-wise comparison is used as an input data and the drivers were analyzed on its basis. The analysis resorted to the use of a fuzzy Multi Criteria Decision Making (MCDM) approach. The obtained results are validated by a two-stage sensitivity analysis, namely: (1) using different de-fuzzification methods that are further evaluated through the Spearman coefficient and (2) assigning varying weight to the essential top priority drivers of green manufacturing among all common drivers. This study helps firms to stimulate an essential driver for quick and better adoption of green manufacturing. Finally, the paper concludes with some insight into the future path of green manufacturing in developing countries and an acknowledgment of the study's own limitations.

Original languageEnglish (US)
Article number4095
Pages (from-to)182-193
Number of pages12
JournalJournal of Cleaner Production
StatePublished - Jun 1 2015


  • Drivers
  • EMS
  • Fuzzy AHP
  • Green manufacturing

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • General Environmental Science
  • Strategy and Management
  • Industrial and Manufacturing Engineering


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