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Industry 4.0 and circular economy: Operational excellence for sustainable reverse supply chain performance

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journal contribution
posted on 27.04.2020, 10:33 by Navin K Dev, Ravi Shankar, Fahham QaiserFahham Qaiser
The present research proposes a roadmap to the excellence of operations for sustainable reverse supply chain/logistics by the joint implementation of principles of Industry 4.0 (I4.0) and ReSOLVE model of circular economy (CE) approaches. The connection between I4.0 and CE is unveiled by addressing the case-based model affecting the economic and environmental performances imparting two important dimensions: (i) the information sharing with the reverse logistics system is in real-time mode, and (ii) diffusion of green product in the market. The effectiveness of the virtual world in I4.0 environment is explored using simulation of reverse logistics model involving operations such as inventory and production planning policy, family-based dispatching rules of remanufacturing, and additive manufacturing. The remanufacturing model examines the trade-off between set-up delays and the availability of green transportation. For managerial insights, Taguchi experimental design framework has been used for the analysis. Based on the trade-off analysis between environmental and economic performances, the findings of the paper suggest appropriate combinations of information-sharing and family-based dispatching rules. Further, the findings suggest that, given the I4.0 and circular capabilities, it is necessary to focus on the cost of the socially influenced operations involving factors such as collection investment and size of the end-user market that governs the product returns. Therefore, in the present paper, the integration of I4.0 and CE represents a real-time decision model for the sustainable reverse logistics system.

Funding

University Grant Commission, New Delhi, India. Grant No.: F.184- 11/2017(IC) under UGC-UKIERI Joint Research Programme (UKIERI-III) on a research project on "Advance Analytics for Green and Resilient Supply Chain Decision Making"

History

School

  • Business and Economics

Department

  • Business

Published in

Resources, Conservation and Recycling

Volume

153

Pages

104583

Publisher

Elsevier BV

Version

AM (Accepted Manuscript)

Rights holder

© Elsevier

Publisher statement

This paper was accepted for publication in the journal Resources, Conservation and Recycling and the definitive published version is available at https://doi.org/10.1016/j.resconrec.2019.104583

Acceptance date

04/11/2019

Publication date

2019-11-19

Copyright date

2020

ISSN

0921-3449

Language

en

Depositor

Mr Fahham Hasan Qaiser. Deposit date: 24 April 2020

Article number

104583