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Analysis of Relationship Between Manufacturing Flexibility and Lean Manufacturing Using Structural Equation Modelling

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  • Nitin S. Solke

    (Symbiosis International (Deemed University))

  • T. P. Singh

    (Symbiosis International (Deemed University))

Abstract

In today’s world of fierce competition, lean manufacturing practices enable companies to meet challenges and be competitive. Uncertainties and dynamic changing situations in the market condition pose problems towards achieving aim of becoming lean. Manufacturing flexibility empowers companies to efficiently tackle these uncertainties and ever changing market conditions. In the present work, the effect of manufacturing flexibilities such as labour flexibility, machine flexibility, volume flexibility, routing flexibility, product flexibility and material handling flexibility on lean manufacturing has been studied and analysed by using structural equation modelling. Structural model depicting relationship between lean manufacturing and various elements of manufacturing flexibility was tested using AMOS and modified to attain the best fit. The study brings out the importance of managing machine flexibility and its significant impact on lean manufacturing. The study focuses on automobile component industry in Pune region in India.

Suggested Citation

  • Nitin S. Solke & T. P. Singh, 2018. "Analysis of Relationship Between Manufacturing Flexibility and Lean Manufacturing Using Structural Equation Modelling," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 19(2), pages 139-157, June.
    • Handle: RePEc:spr:gjofsm:v:19:y:2018:i:2:d:10.1007_s40171-017-0181-5
    DOI: 10.1007/s40171-017-0181-5
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    3. Marta Pérez-Pérez & Canan Kocabasoglu-Hillmer & Ana María Serrano-Bedia & María Concepción López-Fernández, 2019. "Manufacturing and Supply Chain Flexibility: Building an Integrative Conceptual Model Through Systematic Literature Review and Bibliometric Analysis," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 20(1), pages 1-23, December.
    4. C. O. Iroham & M. E. Emetere & H. I. Okagbue & O. Ogunkoya & O. D. Durodola & N. J. Peter & O. M. Akinwale, 2019. "Modified Pricing Model for Negotiation of Mortgage Valuation Between Estate Surveyors and Valuers and Their Clients," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 20(4), pages 337-347, December.
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    6. Davide Settembre-Blundo & Rocío González-Sánchez & Sonia Medina-Salgado & Fernando E. García-Muiña, 2021. "Flexibility and Resilience in Corporate Decision Making: A New Sustainability-Based Risk Management System in Uncertain Times," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 22(2), pages 107-132, December.
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    8. Rohit Kumar Singh & Sachin Modgil & Padmanav Acharya, 2019. "Assessment of Supply Chain Flexibility Using System Dynamics Modeling," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 20(1), pages 39-63, December.
    9. Renu Agarwal & Christopher Bajada & Paul James Brown & Roy Green, 2021. "People Management Practices that Underpin Lean Management Outcomes," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 22(2), pages 75-94, June.
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    11. Mikhail Yurievich Ryabchikov & Elena Sergeevna Ryabchikova, 2022. "Big Data-Driven Assessment of Proposals to Improve Enterprise Flexibility Through Control Options Untested in Practice," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 23(1), pages 43-74, March.

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