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The relationship between JIT practices and type of production system

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  • White, Richard E.
  • Prybutok, Victor

Abstract

After World War II, the Japanese incrementally applied new management practices to improve their global competitiveness. With refinement and systematic integration of these new practices the Japanese achieved a new manufacturing paradigm and, by the 1970s, a competitive superiority in the marketplace. In an effort to emulate the success achieved by Japanese manufacturers, US managers began to apply these new management practices in their organizations. These management practices were introduced as just-in-time (JIT) manufacturing. US managers have progressed through a series of trial and error efforts to apply these new management practices and still do not understand many of the issues associated with JIT implementations. This study attempts to address some of the misunderstandings associated with JIT implementations. A systems approach is utilized for collecting data and analyzing pertinent relationships associated with JIT implementations in US manufacturers. Findings from the study suggest that an association exists between implemented JIT practices and type of production system. In addition, this is the first study to show that the benefits attributed to JIT implementation as a function of implementation status of specific JIT management practices and type of production system.

Suggested Citation

  • White, Richard E. & Prybutok, Victor, 2001. "The relationship between JIT practices and type of production system," Omega, Elsevier, vol. 29(2), pages 113-124, April.
    • Handle: RePEc:eee:jomega:v:29:y:2001:i:2:p:113-124
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    References listed on IDEAS

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    Cited by:

    1. Olhager, Jan & Prajogo, Daniel I., 2012. "The impact of manufacturing and supply chain improvement initiatives: A survey comparing make-to-order and make-to-stock firms," Omega, Elsevier, vol. 40(2), pages 159-165, April.
    2. M. Thürer & Y. H. Pan & T. Qu & H. Luo & C. D. Li & G. Q. Huang, 2019. "Internet of Things (IoT) driven kanban system for reverse logistics: solid waste collection," Journal of Intelligent Manufacturing, Springer, vol. 30(7), pages 2621-2630, October.
    3. Thürer, Matthias & Stevenson, Mark & Protzman, Charles W., 2015. "COBACABANA (Control of Balance by Card Based Navigation): An alternative to kanban in the pure flow shop?," International Journal of Production Economics, Elsevier, vol. 166(C), pages 143-151.
    4. Scherrer-Rathje, Maike & Boyle, Todd A. & Deflorin, Patricia, 2009. "Lean, take two! Reflections from the second attempt at lean implementation," Business Horizons, Elsevier, vol. 52(1), pages 79-88.
    5. Yasin, Mahmoud M. & Small, Michael H. & Wafa, Marwan A., 2003. "Organizational modifications to support JIT implementation in manufacturing and service operations," Omega, Elsevier, vol. 31(3), pages 213-226, June.
    6. Mile Katic & Renu Agarwal, 2018. "The Flexibility Paradox: Achieving Ambidexterity in High-Variety, Low-Volume Manufacturing," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 19(1), pages 69-86, March.
    7. Tomas Bonavia & Juan A. Marin‐Garcia, 2011. "Integrating human resource management into lean production and their impact on organizational performance," International Journal of Manpower, Emerald Group Publishing Limited, vol. 32(8), pages 923-938, November.
    8. Fullerton, Rosemary R. & McWatters, Cheryl S., 2002. "The role of performance measures and incentive systems in relation to the degree of JIT implementation," Accounting, Organizations and Society, Elsevier, vol. 27(8), pages 711-735, November.
    9. Klingenberg, Beate & Timberlake, Rachel & Geurts, Tom G. & Brown, Roger J., 2013. "The relationship of operational innovation and financial performance—A critical perspective," International Journal of Production Economics, Elsevier, vol. 142(2), pages 317-323.
    10. Ziyang Li & Qianwei Ying & Wu Yan & Chenjun Fan, 2022. "Does just‐in‐time adoption have an impact on corporate innovation: evidence from China," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 62(S1), pages 1599-1635, April.
    11. Kelle, Peter & Miller, Pamela A. & Akbulut, Asli Y., 2007. "Coordinating ordering/shipment policy for buyer and supplier: Numerical and empirical analysis of influencing factors," International Journal of Production Economics, Elsevier, vol. 108(1-2), pages 100-110, July.
    12. Danny Hermelin & Dvir Shabtay & Nimrod Talmon, 2019. "On the parameterized tractability of the just-in-time flow-shop scheduling problem," Journal of Scheduling, Springer, vol. 22(6), pages 663-676, December.
    13. Matthias Thürer & Mark Stevenson, 2016. "Card-based delivery date promising in pure flow shops with order release control," International Journal of Production Research, Taylor & Francis Journals, vol. 54(22), pages 6798-6811, November.
    14. Wallace J. Hopp & Mark L. Spearman, 2004. "To Pull or Not to Pull: What Is the Question?," Manufacturing & Service Operations Management, INFORMS, vol. 6(2), pages 133-148, August.
    15. Jayaram, Jayanth & Das, Ajay & Nicolae, Mariana, 2010. "Looking beyond the obvious: Unraveling the Toyota production system," International Journal of Production Economics, Elsevier, vol. 128(1), pages 280-291, November.

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