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Ranking of Drivers for Green Manufacturing Implementation Using Fuzzy Technique for Order of Preference by Similarity to Ideal Solution Method

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dc.contributor.author Sangwan, Kuldip Singh
dc.date.accessioned 2023-08-25T09:04:22Z
dc.date.available 2023-08-25T09:04:22Z
dc.date.issued 2014-07
dc.identifier.uri https://onlinelibrary.wiley.com/doi/full/10.1002/mcda.1527
dc.identifier.uri http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/11655
dc.description.abstract The governments are under tremendous pressure to sustain high manufacturing growth in emerging economies. Unfortunately, the manufacturing sector consumes much energy and other resources and emits a large amount of green house gases, which increases environmental problems such as climate change and global warming. One possible solution to this problem is green manufacturing (GM) implementation in industry. However, GM implementation faces many challenges. Various motivating factors named as ‘drivers’ should be facilitated by the government and industry to make this change possible. This paper investigates the drivers for GM implementation and their ranking based on fuzzy technique for order of preference by similarity to ideal solution method using government, industry and experts perspectives. The study concluded that competitiveness, incentives, organizational resources and technology are top ranked drivers and should be facilitated by the government and industry to help implement GM. The ranking of these drivers is expected to help the government and industry to focus on few important drivers to facilitate the GM implementation with limited resources. Copyright © 2014 John Wiley & Sons, Ltd. en_US
dc.language.iso en en_US
dc.publisher Wiley en_US
dc.subject Mechanical Engineering en_US
dc.subject Green Manufacturing (GM) en_US
dc.subject Fuzzy Technique en_US
dc.title Ranking of Drivers for Green Manufacturing Implementation Using Fuzzy Technique for Order of Preference by Similarity to Ideal Solution Method en_US
dc.type Article en_US


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