Ranking of Drivers of Sustainable Manufacturing
Priyanka Pathak1, M. P. Singh2

1Priytanka Pathak*, Research Scholar, Department of Mechanical Engineering, Jagannath University, Jaipur (Rajasthan) India.
2M. P. Singh, Department of Mechanical Engineering, Jaipur (Rajasthan) India.
Manuscript received on January 02, 2020. | Revised Manuscript received on January 15, 2020. | Manuscript published on January 30, 2020. | PP: 1436-1441 | Volume-8 Issue-5, January 2020. | Retrieval Number: E6077018520/2020©BEIESP | DOI: 10.35940/ijrte.E6077.018520

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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Sustainable manufacturing is important criterion nowadays in developing nations like India. Its implementation is made almost compulsory for all types of industries for the sake of the environment. It could be better implemented if its supporting factors are used at priority instead of wasting time with other less important factors that are not worthy in the process of implementation. So, here in this paper already identified drivers of sustainable manufacturing through a vast literature review of past articles are ranked to give them priority numbers, so that these could be used at first in comparison to the lower ones in the hierarchy table for implementation of sustainable manufacturing. As the ranking of factors is a decision-making process, here we used one of the Multi-Criteria Decision Model Techniques, named as a fuzzy linguistics approach of decision making for ranking or prioritization of factor, for ranking of drivers of sustainable manufacturing. Total 13 identified drivers have first categorized in four different criteria with four different decision variables using 5 point linguistic ratings and then has been ranked, from one to thirteen as one is for most supportive driver and thirteenth as least supportive driver of sustainable manufacturing. These are suggested to various industries for implementing sustainable manufacturing an easier task for them. It might be very helpful for them.
Keywords: Sustainable Manufacturing, Fuzzy TOPSIS, Fuzzy Linguistics, Drivers.
Scope of the Article: Fuzzy logics.