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RETRACTED: Enhancing sustainable supply chain performance by adopting sustainable lean six sigma-Industry 4.0 practices

Jaypalsinh Ambalal Rana (Department of Mechanical Engineering, Indus University, Ahmedabad, India)
Suketu Y. Jani (Department of Automobile Engineering, Indus University, Ahmedabad, India)

Management of Environmental Quality

ISSN: 1477-7835

Article publication date: 6 February 2023

Issue publication date: 17 May 2023

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This article was retracted on 23 Nov 2023.

Retraction statement

The publisher of Management of Environmental Quality wishes to retract the article by Jaypalsinh Ambalal Rana and Suketu Y. Jani ‘Enhancing sustainable supply chain performance by adopting sustainable lean six sigma-Industry 4.0 practices’, published in Management of Environmental Quality, Vol. 34 No. 4, pp. 1198-1221, https://doi.org/10.1108/MEQ-04-2022-0122. It has come to our attention that a large portion of this article is taken, without attribution, from an earlier, unpublished original work by Manoj Palsodkar, Madhukar Nagare, and Gunjan Yadav, ‘Improving sustainable supply chain performance through integrated Agile New Product Development-Industry 4.0 practices: Recovering from COVID19 impacts’. The submission guidelines for Management of Environmental Quality make it clear that articles must be original. The authors would like it to be noted that they are not in agreement with this retraction. The publisher of the journal sincerely apologizes to the readers.

Abstract

Purpose

The Sustainable Lean Six Sigma (SLSS) adoption approach, advancements in Internet technologies and the use of Industry4.0 technologies has resulted in faster customer need fulfilment. The Industry4.0 technologies have resulted in a new paradigm where strategic and operational decisions are in favour of profitability and long-term viability. The purpose of this study is to identify Industry4.0-SLSS practices and sustainable supply chain performance metrics, as well as to develop a framework for decision-makers and managers to make supply chains more sustainable.

Design/methodology/approach

The 33 Industry4.0-SLSS practices and 24 performance metrics associated with the sustainable supply chain are shortlisted based on extensive literature review and expert opinion. The Pythagorean Fuzzy Analytical Hierarchy Process (PF-AHP) approach is used to evaluate the weights of Industry4.0-SLSS practices after collecting expert panel opinions. The Weighted Aggregated Sum Product Assessment (WASPAS) methodology used these weights to rank performance metrics.

Findings

According to the results of PF-AHP, “Product development competencies (PDC)” are first in the class of major criteria, followed by “Advanced technological competencies (ATC)” second, “Organisational management competencies (OMC)” third, “Personnel and sustainable competencies (PSC)” fourth and “Soft Computing competencies (SCC)” fifth. The performance metric “Frequency of NPD” was ranked first by the WASPAS method.

Research limitations/implications

The proposed paradigm helps practitioners to comprehend Industry4.0 technology and SLSS practices well. The identified practices have the potential to boost the sustainability and supply chain's performance. Organizational effectiveness will benefit from practices that promote a sustainable supply chain and the use of developing technology. Managers can evaluate performance using performance metrics that have been prioritized.

Originality/value

The present study is one of the unique attempts to establish a framework for enhancing the performance of the sustainable supply chain. The idea of establishing Industry4.0-SLSS practices and performance measures is the authors' original contribution.

Keywords

Acknowledgements

The authors are thankful to the experts for providing their valuable inputs that helped in extracting the fruitful outcomes through the computational analysis.

Citation

Rana, J.A. and Jani, S.Y. (2023), "RETRACTED: Enhancing sustainable supply chain performance by adopting sustainable lean six sigma-Industry 4.0 practices", Management of Environmental Quality, Vol. 34 No. 4, pp. 1198-1221. https://doi.org/10.1108/MEQ-04-2022-0122

Publisher

:

Emerald Publishing Limited

Copyright © 2023, Emerald Publishing Limited

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