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Erschienen in: Clean Technologies and Environmental Policy 4/2020

09.03.2020 | Original Paper

Investigating the enablers associated with implementation of Green Lean Six Sigma in manufacturing sector using Best Worst Method

verfasst von: Mahender Singh Kaswan, Rajeev Rathi

Erschienen in: Clean Technologies and Environmental Policy | Ausgabe 4/2020

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Abstract

Green Lean Six Sigma is an inclusive approach, leads to optimum utilization of resources, reduces rejection and provides a path for sustainable development. In such an approach, decision-making becomes difficult in terms of selecting and prioritizing the different facets that incorporate sustainability in the system. The present research deals with the prioritization of Green Lean Six Sigma enablers through a novel decision-making approach Best Worst Method in a manufacturing organization. The present method was selected for prioritization as it provides the highly reliable results due to its high consistency; fewer pairwise comparisons (2n – 3) as compared to another matrix-based multiple-criteria decision-making methods use n(n – 1)/2 comparisons. The study depicts that the top three ranked enablers are organizational readiness for Green Lean Six Sigma measures together with competence for green product and process, top management commitment toward sustainable performance improvement and the integration of GLS with the business objectives with weights 0.4055, 0.1745 and 0.1288, respectively. Moreover, screened enablers’ rank was further validated through decision-making trial and evaluation laboratory, analytical hierarchy process and preference ranking organization method for enrichment of evaluations methods. The practitioners of the concerned industry will be assisted through the selection of most prominent enablers and evolving deliberate initiatives through primarily focusing on prominent enablers for the successful adoption of Green Lean Six Sigma.

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Metadaten
Titel
Investigating the enablers associated with implementation of Green Lean Six Sigma in manufacturing sector using Best Worst Method
verfasst von
Mahender Singh Kaswan
Rajeev Rathi
Publikationsdatum
09.03.2020
Verlag
Springer Berlin Heidelberg
Erschienen in
Clean Technologies and Environmental Policy / Ausgabe 4/2020
Print ISSN: 1618-954X
Elektronische ISSN: 1618-9558
DOI
https://doi.org/10.1007/s10098-020-01827-w

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