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Interpretive structural modeling of lean six sigma critical success factors in perspective of industry 4.0 for Indian manufacturing industries

Author

Listed:
  • Pramod Kumar

    (Vivekananda Global University)

  • Jaiprakash Bhamu

    (Government Engineering College)

  • Sunkulp Goel

    (Teeranthakar Mahaveer University)

  • Dharmendra Singh

    (Government Engineering College)

Abstract

This paper aims to identify and analyze critical success factors (CSFs) of Lean Six Sigma (LSS) implementation in context to Industry 4.0 (I4.0) in Indian manufacturing industries. Twenty CSFs are identified from literature and expert’s opinion. A survey was conducted through administration of designed questionnaire in Indian manufacturing industries and reliability of the factors was tested calculating Cronbach’s alfa (α) value for all responses. Thereafter, out of twenty CSFs, sixteen were found reliable. Further, these sixteen factors were analyzed employing Interpretive Structural Modeling (ISM) technique and leveled as per developed model. The MICMAC analysis is employed for determining driving and dependence power of CSFs. The developed model provides a platform for the practitioners/researchers to design a framework for successful implementation of LSS in view of current manufacturing paradigm of I4.0. On analyzing the data using ISM technique, the ‘Organizational culture and belief’, ‘Effective top management commitment and attitude’ and ‘Motivated and skilled manpower’ are observed to be the most significant CSFs which drive the path for proper implementation of LSS in Indian manufacturing industries. The developed model will enable the practitioners to draw the effective strategy for proper implementation of LSS in view of Industry 4.0. The results will give an edge to the management to think strategically for improvements in this competitive environment.

Suggested Citation

  • Pramod Kumar & Jaiprakash Bhamu & Sunkulp Goel & Dharmendra Singh, 2024. "Interpretive structural modeling of lean six sigma critical success factors in perspective of industry 4.0 for Indian manufacturing industries," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 15(8), pages 3776-3793, August.
    • Handle: RePEc:spr:ijsaem:v:15:y:2024:i:8:d:10.1007_s13198-024-02375-y
    DOI: 10.1007/s13198-024-02375-y
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    References listed on IDEAS

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    1. Andrea Chiarini, 2013. "Differences between Six Sigma applications in manufacturing and the service industry," International Journal of Productivity and Quality Management, Inderscience Enterprises Ltd, vol. 12(3), pages 345-360.
    2. Rashmi Ranjan Panigrahi & Duryodhan Jena & Padma Charan Mishra, 2022. "Inventory automation practices and productivity: a study on steel manufacturing firms," International Journal of Applied Systemic Studies, Inderscience Enterprises Ltd, vol. 9(3), pages 195-213.
    3. Julian Marius Müller & Daniel Kiel & Kai-Ingo Voigt, 2018. "What Drives the Implementation of Industry 4.0? The Role of Opportunities and Challenges in the Context of Sustainability," Sustainability, MDPI, vol. 10(1), pages 1-24, January.
    4. Brun, Alessandro, 2011. "Critical success factors of Six Sigma implementations in Italian companies," International Journal of Production Economics, Elsevier, vol. 131(1), pages 158-164, May.
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