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Customer Service in Pull Production Systems

Author

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  • Mark L. Spearman

    (Northwestern University, Evanston, Illinois)

Abstract

In this paper, we consider the issue of customer service in pull production systems. We first discuss the meaning of customer service in a pull system and contrast it to push systems. We also discuss both pure and hybrid pull systems that are found in the literature. We then investigate the effects of changing inventory levels and processing time characteristics on customer service in a pure kanban system. Finally, we show that a hybrid system known as CONWIP not only has better service than a pure kanban system, but also solves certain implementation problems.

Suggested Citation

  • Mark L. Spearman, 1992. "Customer Service in Pull Production Systems," Operations Research, INFORMS, vol. 40(5), pages 948-958, October.
    • Handle: RePEc:inm:oropre:v:40:y:1992:i:5:p:948-958
    DOI: 10.1287/opre.40.5.948
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    Citations

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    Cited by:

    1. 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.
    2. 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.
    3. Takahashi, Katsuhiko & Nakamura, Nobuto, 2002. "Decentralized reactive Kanban system," European Journal of Operational Research, Elsevier, vol. 139(2), pages 262-276, June.
    4. Seki, Yoichi & Hoshino, Naoto, 1999. "Transient behavior of a single-stage kanban system based on the queueing model," International Journal of Production Economics, Elsevier, vol. 60(1), pages 369-374, April.
    5. Liberopoulos, George & Koukoumialos, Stelios, 2005. "Tradeoffs between base stock levels, numbers of kanbans, and planned supply lead times in production/inventory systems with advance demand information," International Journal of Production Economics, Elsevier, vol. 96(2), pages 213-232, May.
    6. Sarker, Bhaba R. & Balan, Chidambaram V., 1999. "Operations planning for a multi-stage kanban system," European Journal of Operational Research, Elsevier, vol. 112(2), pages 284-303, January.
    7. Huang, Min & Wang, Dingwei & Ip, W. H., 1998. "Simulation study of CONWIP for a cold rolling plant," International Journal of Production Economics, Elsevier, vol. 54(3), pages 257-266, May.
    8. Cao, Dong & Chen, Mingyuan, 2005. "A mixed integer programming model for a two line CONWIP-based production and assembly system," International Journal of Production Economics, Elsevier, vol. 95(3), pages 317-326, March.
    9. John Boudreau & Wallace Hopp & John O. McClain & L. Joseph Thomas, 2003. "On the Interface Between Operations and Human Resources Management," Manufacturing & Service Operations Management, INFORMS, vol. 5(3), pages 179-202, September.
    10. Yucesan, Enver & de Groote, Xavier, 2000. "Lead times, order release mechanisms, and customer service," European Journal of Operational Research, Elsevier, vol. 120(1), pages 118-130, January.
    11. 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.
    12. Arabatzis, Garyfallos & Petridis, Konstantinos & Galatsidas, Spyros & Ioannou, Konstantinos, 2013. "A demand scenario based fuelwood supply chain: A conceptual model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 25(C), pages 687-697.

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