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Measuring Industrial Symbiosis Index Using Multi-Grade Fuzzy Approach
Kalyan C, Abhirama T, Mohammed N.R, ,
Published in Springer Singapore
Pages: 49 - 58
The article reports a research that was carried out to measure the industrial symbiosis percentage of an industrial symbiotic setup utilising multi-grade fuzzy approach. Industrial symbiosis is a subclass of industrial ecology which describes how a cluster of assorted organizations can foster eco-innovation and long-term culture change, create, and share mutually profitable transactions and improve business and technical processes. A symbiosis measurement framework model incorporated accompanied by multi-grade fuzzy approach was developed. Successively, data congregated from the industrial symbiotic setup under study were substituted in this representation, and the improvement areas for symbiosis enhancement of the organization were elucidated. The application of this study reveals that the organization in question was symbiotic. Yet, there was further scope for improvement of symbiosis in the organizational cluster. On utilising, the model represented in this paper indicates that the symbiosis of the organization as well as the actions required to enhance its symbiotic level. This process is bound to accelerate the absorption of the symbiotic attributes of the organizations in Industry 4.0. © 2019, Springer Nature Singapore Pte Ltd.
About the journal
JournalData powered by TypesetLecture Notes in Mechanical Engineering Advances in Manufacturing Technology
PublisherData powered by TypesetSpringer Singapore
Open Access0