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Hierarchy of Critical Success Factors (CSF) for Lean Six Sigma (LSS) in Quality 4.0

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  • Neeraj Yadav

    (Indian Institute of Technology (IIT) Delhi)

  • Ravi Shankar

    (Indian Institute of Technology (IIT) Delhi)

  • Surya Prakash Singh

    (Indian Institute of Technology (IIT) Delhi)

Abstract

The fourth industrial revolution, often termed as Industry 4.0 or Smart Manufacturing, is influencing all aspects of business management. Application of Industry 4.0 for quality management purpose is termed Quality 4.0. Lean Six Sigma (LSS) implementation process is also getting influenced by Quality 4.0. Use of Lean Six Sigma in Industry 4.0/Quality 4.0 can create differentiation in performance, and will improve competitiveness of organizations, besides making them future ready. Critical Success Factors (CSF) for Lean Six Sigma in Quality 4.0 set-up are recently established. However, the hierarchy of Critical Success Factors (CSF) for Lean Six Sigma under Quality 4.0 framework is not yet available. This paper establishes the hierarchy using multiple methodologies including ISM (Interpretive Structural Modelling) and TISM (Total Interpretive Structural Modelling), MICMAC (cross-impact matrix multiplication applied to classification), and Hierarchical Clustering. Managerial and theoretical implications of this study are presented from both Lean Six Sigma, and Information Technology perspectives.

Suggested Citation

  • Neeraj Yadav & Ravi Shankar & Surya Prakash Singh, 2021. "Hierarchy of Critical Success Factors (CSF) for Lean Six Sigma (LSS) in Quality 4.0," International Journal of Global Business and Competitiveness, Springer, vol. 16(1), pages 1-14, June.
    • Handle: RePEc:spr:ijogbc:v:16:y:2021:i:1:d:10.1007_s42943-020-00018-0
    DOI: 10.1007/s42943-020-00018-0
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    References listed on IDEAS

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    1. Sang M. Lee & DonHee Lee & Youn Sung Kim, 2019. "The quality management ecosystem for predictive maintenance in the Industry 4.0 era," International Journal of Quality Innovation, Springer, vol. 5(1), pages 1-11, December.
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    Cited by:

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    2. Josef Schwaiger & Timo Hammerl & Johannsen Florian & Susanne Leist, 2021. "UR: SMART–A tool for analyzing social media content," Information Systems and e-Business Management, Springer, vol. 19(4), pages 1275-1320, December.
    3. Chetna Chauhan & Manzoor Ul Akram & Diptanshu Gaur, 2021. "Technology-Driven Responsiveness in Times of COVID-19: A Fuzzy Delphi and Fuzzy AHP-Based Approach," International Journal of Global Business and Competitiveness, Springer, vol. 16(1), pages 48-61, December.
    4. Priyanshu Kumar Singh & R. Maheswaran & Naveen Virmani & Rakesh D. Raut & Kamalakanta Muduli, 2023. "Prioritizing the Solutions to Overcome Lean Six Sigma 4.0 Challenges in SMEs: A Contemporary Research Framework to Enhance Business Operations," Sustainability, MDPI, vol. 15(4), pages 1-19, February.
    5. Sorin-Ciprian Teiusan & Sorin-Constantin Deaconu, 2021. "Artificial Intelligence And Covid-19: An Analysis In Business And Economics," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 5, pages 144-156, October.

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