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Modelling the barriers of Six Sigma using interpretive structural modelling

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  • Ashish Soti
  • O.P. Kaushal
  • Ravi Shankar

Abstract

Six Sigma attempts to reduce opportunities to commit mistakes through systematic and statistical driven approach, therefore, business excellence and Six Sigma go hand-in-hand. This paper, attempts to model barriers in Six Sigma implementation by establishing relationship among them through interpretive structural modelling (ISM). Twelve barriers have been identified through literature survey and later validated through a questionnaire based survey. The ISM model classifies barriers into strategic, tactical and operational category. The driving power and dependency of these barriers are also modelled using MIC-MAC analysis. The result provides insight into the effective approach to counter these barriers.

Suggested Citation

  • Ashish Soti & O.P. Kaushal & Ravi Shankar, 2011. "Modelling the barriers of Six Sigma using interpretive structural modelling," International Journal of Business Excellence, Inderscience Enterprises Ltd, vol. 4(1), pages 94-110.
    • Handle: RePEc:ids:ijbexc:v:4:y:2011:i:1:p:94-110
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    Cited by:

    1. Venkatesh, V.G. & Rathi, Snehal & Patwa, Sriyans, 2015. "Analysis on supply chain risks in Indian apparel retail chains and proposal of risk prioritization model using Interpretive structural modeling," Journal of Retailing and Consumer Services, Elsevier, vol. 26(C), pages 153-167.
    2. Syed Mithun Ali & Asraf Arafin & Md. Abdul Moktadir & Towfique Rahman & Nuzhat Zahan, 2018. "Barriers to Reverse Logistics in the Computer Supply Chain Using Interpretive Structural Model," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 19(1), pages 53-68, March.
    3. Emily Bacon & Michael D. Williams & Gareth H. Davies, 2023. "On the Combinatory Nature of Knowledge Transfer Conditions: A Mixed Method Assessment," Information Systems Frontiers, Springer, vol. 25(3), pages 1039-1061, June.

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