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Enablers of Lean for Manufacturing Excellence: An Interpretive Structural Modelling and Analysis

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  • Ravindra Ojha

Abstract

In the current competitive business world, the importance of lean systems has significantly improved. The purpose of the research paper is to identify key enablers of lean and understand their relationship dynamics using the interpretive structural modelling (ISM) approach with a goal to accelerate the pace of manufacturing excellence in industries. Literature review and focused interaction with domain experts facilitated in identifying 24 significant enablers. The analysis from the ISM has highlighted the strong need to focus on two clusters of four enablers each in the driving and dependent enablers quadrants in manufacturing. People-excellence-related cluster had leadership standard work, quality of people, functional expertise and lean training as the key driving enablers. While, the customer-driven cluster had supermarket pull system, demand management, process quality and value flow as the key dependent enablers. The research paper has provided useful insights and recommendations to industry leaders for accelerating their manufacturing excellence journey.

Suggested Citation

  • Ravindra Ojha, 2021. "Enablers of Lean for Manufacturing Excellence: An Interpretive Structural Modelling and Analysis," Vision, , vol. 26(1), pages 90-104, March.
    • Handle: RePEc:sae:vision:v:26:y:2021:i:1:p:90-104
    DOI: 10.1177/0972262920985952
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    References listed on IDEAS

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    1. G. Anand & Rambabu Kodali, 2009. "Development of a framework for lean manufacturing systems," International Journal of Services and Operations Management, Inderscience Enterprises Ltd, vol. 5(5), pages 687-716.
    2. Pravin Kumar & Rajesh K. Singh & Rakesh Kumar, 2017. "An integrated framework of interpretive structural modeling and graph theory matrix approach to fix the agility index of an automobile manufacturing organization," 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. 8(1), pages 342-352, January.
    3. Ravindra Ojha & Anil K. Vij & Prem Vrat, 2014. "Manufacturing excellence and its critical factors," Journal of Advances in Management Research, Emerald Group Publishing Limited, vol. 11(3), pages 312-332, October.
    4. Ravindra Ojha & Prem Vrat, 2018. "Prioritising factors for manufacturing growth in India: an analytic network process approach," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 28(1), pages 32-52.
    5. Wagner Cezar Lucato & Felipe Araujo Calarge & Mauro Loureiro Junior & Robisom Damasceno Calado, 2014. "Performance evaluation of lean manufacturing implementation in Brazil," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 63(5), pages 529-549, June.
    6. Jose Arturo Garza-Reyes & Emre Mehmet Ates & Vikas Kumar, 2015. "Measuring lean readiness through the understanding of quality practices in the Turkish automotive suppliers industry," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 64(8), pages 1092-1112, November.
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