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Analysis of a Kanban Discipline for Cell Coordination in Production Lines. I

Author

Listed:
  • Debasis Mitra

    (AT&T Bell Laboratories, Murray Hill, New Jersey 07974)

  • Isi Mitrani

    (University of Newcastle Upon Tyne, Newcastle Upon Tyne NE1 7RU, United Kingdom)

Abstract

We describe and analyze a discipline called kanban for the coordination of cells in a large-scale manufacturing facility. There are many cells in a tandem configuration and a fixed number of cards (or kanbans in Japanese usage) in each cell. The cards circulate within the cell and their presence at designated positions signals to the neighboring cells the status of the cell's inventory; rules specify the timing of the movement of parts from cell to cell. We construct a stochastic model of the whole manufacturing facility and give our results in three parts. First, the kanban discipline is compared to the classical production discipline and it is shown to dominate the classical discipline in terms of throughput. Secondly, we give a scheme for analyzing approximately the performance of the kanban system by examining first a single cell in isolation and then combining the isolated cells through fixed-point equations. Thirdly, we report on extensive experiments and on their numerical results which are obtained from simulations and our method of analysis. The throughput-inventory relationship of the kanban scheme is observed to be superior to that of the classical discipline.

Suggested Citation

  • Debasis Mitra & Isi Mitrani, 1990. "Analysis of a Kanban Discipline for Cell Coordination in Production Lines. I," Management Science, INFORMS, vol. 36(12), pages 1548-1566, December.
  • Handle: RePEc:inm:ormnsc:v:36:y:1990:i:12:p:1548-1566
    DOI: 10.1287/mnsc.36.12.1548
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    Citations

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    Cited by:

    1. Kim, Ilhyung & Tang, Christopher S., 1997. "Lead time and response time in a pull production control system," European Journal of Operational Research, Elsevier, vol. 101(3), pages 474-485, September.
    2. Takahashi, Katsuhiko & Morikawa, Katsumi & Nakamura, Nobuto, 2004. "Reactive JIT ordering system for changes in the mean and variance of demand," International Journal of Production Economics, Elsevier, vol. 92(2), pages 181-196, November.
    3. Zhao Xiaobo & Qiguo Gong & Kenichi Nakashima, 2001. "Analysis of a production system in a general configuration," Naval Research Logistics (NRL), John Wiley & Sons, vol. 48(2), pages 128-143, March.
    4. Ou, Jihong & Jiang, Jiong, 1997. "Yield comparison of push and pull control methods on production systems with unreliable machines," International Journal of Production Economics, Elsevier, vol. 50(1), pages 1-12, May.
    5. Dinah W. Cheng, 1994. "On the design of a tandem queue with blocking: Modeling, analysis, and gradient estimation," Naval Research Logistics (NRL), John Wiley & Sons, vol. 41(6), pages 759-770, October.
    6. Zipkin, Paul, 1995. "Processing networks with planned inventories: Tandem queues with feedback," European Journal of Operational Research, Elsevier, vol. 80(2), pages 344-349, January.
    7. Subba Rao, S. & Gunasekaran, A. & Goyal, S. K. & Martikainen, T., 1998. "Waiting line model applications in manufacturing," International Journal of Production Economics, Elsevier, vol. 54(1), pages 1-28, January.
    8. Askin, Ronald G. & Krishnan, Shravan, 2009. "Defining inventory control points in multiproduct stochastic pull systems," International Journal of Production Economics, Elsevier, vol. 120(2), pages 418-429, August.
    9. Iwase, Masaharu & Ohno, Katsuhisa, 2011. "The performance evaluation of a multi-stage JIT production system with stochastic demand and production capacities," European Journal of Operational Research, Elsevier, vol. 214(2), pages 216-222, October.
    10. Cigdem Gurgur, 2013. "Optimal configuration of a decentralized, market-driven production/inventory system," Annals of Operations Research, Springer, vol. 209(1), pages 139-157, October.
    11. Kojima, Mitsutoshi & Nakashima, Kenichi & Ohno, Katsuhisa, 2008. "Performance evaluation of SCM in JIT environment," International Journal of Production Economics, Elsevier, vol. 115(2), pages 439-443, October.
    12. Cigdem Z. Gurgur & Tayfur Altiok, 2007. "Analysis of decentralized multi‐product pull systems with lost sales," Naval Research Logistics (NRL), John Wiley & Sons, vol. 54(4), pages 357-370, June.
    13. Herer, Yale T. & Shalom, Levi, 2000. "The Kanban assignment problem - A non-integral approach," European Journal of Operational Research, Elsevier, vol. 120(2), pages 260-276, January.
    14. Mascolo, Maria Di, 1996. "Analysis of a synchronization station for the performance evaluation of a kanban system with a general arrival process of demands," European Journal of Operational Research, Elsevier, vol. 89(1), pages 147-163, February.
    15. Papadopoulos, H. T. & Heavey, C., 1996. "Queueing theory in manufacturing systems analysis and design: A classification of models for production and transfer lines," European Journal of Operational Research, Elsevier, vol. 92(1), pages 1-27, July.
    16. Albino, Vito & Dassisti, Michele & O. Okogbaa, Geoffrey, 1995. "Approximation approach for the performance analysis of production lines under a kanban discipline," International Journal of Production Economics, Elsevier, vol. 40(2-3), pages 197-207, August.
    17. Andijani, A. A., 1998. "A multi-criterion approach for Kanban allocations," Omega, Elsevier, vol. 26(4), pages 483-493, August.
    18. Houmin Yan & Xun Yu Zhou & G. Yin, 1999. "Approximating an Optimal Production Policy in a Continuous Flow Line: Recurrence and Asymptotic Properties," Operations Research, INFORMS, vol. 47(4), pages 535-549, August.
    19. Andijani, A. A. & Anwarul, M., 1997. "Manufacturing blocking discipline: A multi-criterion approach for buffer allocations," International Journal of Production Economics, Elsevier, vol. 51(3), pages 155-163, September.
    20. Mark Vroblefski & R. Ramesh & Stanley Zionts, 2000. "General Open and Closed Queueing Networks with Blocking: A Unified Framework for Approximation," INFORMS Journal on Computing, INFORMS, vol. 12(4), pages 299-316, November.
    21. Miltenburg, John, 2001. "U-shaped production lines: A review of theory and practice," International Journal of Production Economics, Elsevier, vol. 70(3), pages 201-214, April.

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