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Prioritizing the Solutions to Overcome Lean Six Sigma 4.0 Challenges in SMEs: A Contemporary Research Framework to Enhance Business Operations

descriptionPublicationkeyboard_double_arrow_right Article 12 Feb 2023Publisher:MDPI AGJournal:Sustainability, volume 15, page 3,371 (eissn: 2071-1050,

Authors: Priyanshu Kumar Singh; R. Maheswaran; Naveen Virmani; Rakesh D. Raut; Kamalakanta Muduli;

doi: 10.3390/su15043371

Prioritizing the Solutions to Overcome Lean Six Sigma 4.0 Challenges in SMEs: A Contemporary Research Framework to Enhance Business Operations

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Abstract

The research aims to prioritize the solutions to overcome the challenges of Lean Six Sigma 4.0 (LSS 4.0). It is an integrated approach with lean, six sigma, and Industry 4.0 attributes. This integrated approach helps to achieve organizational excellence and sustainable development goals. Fuzzy stepwise weight assessment ratio analysis (fuzzy-SWARA) was used to estimate the weights of LSS 4.0 challenges. Furthermore, fuzzy-weighted aggregated sum product assessment (fuzzy-WASPAS) was used to prioritize the LSS 4.0 solutions. In this study, 23 challenges and 23 solutions of LSS 4.0 implementation were identified with the help of an extensive literature review and discussion with the area experts having vast experience. Management participation in LSS 4.0 implementation and planning for long-term vision were found to be the topmost solutions to overcome LSS 4.0 challenges. To the best of our knowledge, to date, the prioritization of solutions to overcome the challenges of LSS 4.0 have not yet been investigated in the developing economic context.

Related Organizations

Papua New Guinea University of Technology
Papua New Guinea
IMS Unison University
India
Papua New Guinea University of Technology
Papua New Guinea
NATIONAL INSTITUTE OF INDUSTRIAL ENGINEERING
India
Mepco Schlenk Engineering College
India

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Keywords

Lean Six Sigma (LSS), Environmental effects of industries and plants, customer satisfaction, TJ807-830, TD194-195, Renewable energy sources, Environmental sciences, Lean Six Sigma (LSS 4.0), Fuzzy-SWARA, quality, GE1-350, Fuzzy-WASPAS

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	4
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average