IDEAS home Printed from https://ideas.repec.org/a/inm/ormnsc/v33y1987i4p427-441.html
   My bibliography  Save this article

A Mathematical Programming Approach to a Deterministic Kanban System

Author

Listed:
  • Gabriel R. Bitran

    (Sloan School of Management, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139)

  • Li Chang

    (IBM Corporation, Poughkeepsie, New York 12602)

Abstract

In this paper we present a mathematical programming model for the Kanban system in a deterministic multi-stage capacitated assembly-tree-structure production setting. We discuss solution procedures to the problem and address three special cases of practical interest.

Suggested Citation

  • Gabriel R. Bitran & Li Chang, 1987. "A Mathematical Programming Approach to a Deterministic Kanban System," Management Science, INFORMS, vol. 33(4), pages 427-441, April.
    • Handle: RePEc:inm:ormnsc:v:33:y:1987:i:4:p:427-441
    DOI: 10.1287/mnsc.33.4.427
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mnsc.33.4.427
    Download Restriction: no
    File URL: https://libkey.io/10.1287/mnsc.33.4.427?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Savsar, Mehmet & Al-Jawini, Abdullah, 1995. "Simulation analysis of just-in-time production systems," International Journal of Production Economics, Elsevier, vol. 42(1), pages 67-78, November.
    2. Venky Nagar & Madhav V. Rajan & Richard Saouma, 2009. "The Incentive Value of Inventory and Cross‐training in Modern Manufacturing," Journal of Accounting Research, Wiley Blackwell, vol. 47(4), pages 991-1025, September.
    3. de Souza, Mauricio C. & de Carvalho, Carlos R.V. & Brizon, Wellington B., 2008. "Packing items to feed assembly lines," European Journal of Operational Research, Elsevier, vol. 184(2), pages 480-489, January.
    4. Drexl, Andreas & Kimms, Alf, 1999. "Belastungsorientierte Just-in-Time Variantenfließfertigung," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 502, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    5. 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.
    6. 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.
    7. Defersha, Fantahun M. & Chen, Mingyuan, 2008. "A linear programming embedded genetic algorithm for an integrated cell formation and lot sizing considering product quality," European Journal of Operational Research, Elsevier, vol. 187(1), pages 46-69, May.
    8. Moattar Husseini, S.M. & O'Brien, C. & Hosseini, S.T., 2006. "A method to enhance volume flexibility in JIT production control," International Journal of Production Economics, Elsevier, vol. 104(2), pages 653-665, December.
    9. 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.
    10. 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.
    11. Francesco Lolli & Rita Gamberini & Claudio Giberti & Bianca Rimini & Federica Bondi, 2016. "A simulative approach for evaluating alternative feeding scenarios in a kanban system," International Journal of Production Research, Taylor & Francis Journals, vol. 54(14), pages 4228-4239, July.
    12. 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.
    13. Drexl, Andreas & Kimms, Alf, 1997. "Sequencing JIT mixed-model assembly lines under station load- and part usage-constraints," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 460, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:inm:ormnsc:v:33:y:1987:i:4:p:427-441. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.