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Evaluating the Barriers of Circular Supply Chain Implementation Using Pythagorean Fuzzy DEMATEL Method

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Recent Advances in Manufacturing Modelling and Optimization

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

Abstract

In recent times, the notion of circular supply chain (CSC) has received much attention from the research communities across the globe due to the issues of resource scarceness, waste generation and environmental degradation. The CSC combines the circular economy (CE) into the supply chain of business organizations. It acts as a sustainable solution approach to the linear supply chain model. The significant sustainable benefits the organizations can achieve after its successful implementation. However, from past literature, it can be seen that, very less attention has been given on CSC implementation in perspectives of developing economies, especially in India. The developing economies are facing several barriers in adopting CSC practices in manufacturing organizations. Therefore, this research aims to recognize and evaluates the barriers of CSC adoption. This research proposes the Pythagorean fuzzy decision-making trial and evaluation laboratory (PF-DEMATEL) technique to assess the interrelationship and determines the causal dependency of selected CSC barriers. The Indian case organization is considered in this study for demonstration of effectiveness of the proposed method. This research finding reveals that “lack of support and commitment from top management of an organization towards CSC implementation” is the most significant barrier, and “lack of economic benefits in short run” is the least important barrier to CSC adoption. This research outcome helps the industrial practitioners to formulate and develop the effective strategies for effective implementation of CSC management.

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Lahane, S., Kant, R. (2022). Evaluating the Barriers of Circular Supply Chain Implementation Using Pythagorean Fuzzy DEMATEL Method. In: Kumar, S., Ramkumar, J., Kyratsis, P. (eds) Recent Advances in Manufacturing Modelling and Optimization. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-16-9952-8_68

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  • DOI: https://doi.org/10.1007/978-981-16-9952-8_68

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-9951-1

  • Online ISBN: 978-981-16-9952-8

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