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Framework development and evaluation of Industry 4.0 technological aspects towards improving the circular economy-based supply chain

Somesh Agarwal (Department of Industrial and Production Engineering, Dr. B.R. Ambedkar National Institute of Technology Jalandhar, Jalandhar, India)
Mohit Tyagi (Department of Industrial and Production Engineering, Dr. B.R. Ambedkar National Institute of Technology Jalandhar, Jalandhar, India)
Rajiv Kumar Garg (Department of Industrial and Production Engineering, Dr. B.R. Ambedkar National Institute of Technology Jalandhar, Jalandhar, India)

Industrial Robot

ISSN: 0143-991x

Article publication date: 2 March 2022

Issue publication date: 21 April 2022

452

Abstract

Purpose

The purpose of this study is to present Industry 4.0 technologies for advancing the circular economy (CE) adaption in manufacturing industry’s supply chain (SC) network. To pursue the same, Industry 4.0 technological aspects were recognized as solution measures to overcome the challenges for CE implementation in SC.

Design methodology approach

A new hierarchical framework containing 13 leading CE challenges and eight promising Industry 4.0 technological aspects had been proposed, representing their mutual relationship. The proposed framework was analysed using a hybrid approach of analytic hierarchy process (AHP) and combinative distance-based assessment (CODAS) under interval-valued intuitionistic fuzzy (IVIF) environment. The IVIF-AHP was used to acquire the priority weights of the CE challenges, whereas the IVIF-CODAS was used to attain the preference order of the proposed technological aspects.

Findings

The key findings of the present work indicate that “Information disruptions among the SC members due to multiple channels” and “Manpower inability to handle the toxic materials” are the two most critical challenges hindering the adoption of CE practices in SC. Along with, the results also demonstrate that to overcome these challenges, “Smarter equipment to empower flexibility and mass customization” and “Big data driven decision-making system” are the two most significant Industry 4.0 technological solutions, adoption of which might encourage the organizations to align their operations with CE philosophies.

Research limitations implications

The sample size of the experts engaged in work was limited; however, big data studies could be conducted in future to capture more insights of the stated topic. In addition to this, to understand the implication of CE on Industry 4.0-based manufacturing, a separate study can be synthesised in future.

Originality value

The proposed work facilitates a new framework consolidating various perspectives associated with CE implementation into a manufacturing industry considering the scenario of Indian rubber industry. This study enables the decision-makers to recognize the challenging factors for CE implementation into their organizations and up-taking the proposed Industry 4.0 practices as technological measures for improving the organization overall performance.

Keywords

Citation

Agarwal, S., Tyagi, M. and Garg, R.K. (2022), "Framework development and evaluation of Industry 4.0 technological aspects towards improving the circular economy-based supply chain", Industrial Robot, Vol. 49 No. 3, pp. 555-581. https://doi.org/10.1108/IR-10-2021-0246

Publisher

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Emerald Publishing Limited

Copyright © 2022, Emerald Publishing Limited

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