IDEAS home Printed from https://ideas.repec.org/a/inm/oropre/v42y1994i1p92-101.html
   My bibliography  Save this article

Economic Lot Scheduling Problem with Raw Material Considerations

Author

Listed:
  • Guillermo Gallego

    (Columbia University, New York, New York)

  • Dev Joneja

    (Columbia University, New York, New York)

Abstract

We extend the traditional model of the economic lot scheduling problem by considering various issues associated with the management of the raw materials for production. Several items are produced on a single machine at finite production rates with setup times, and setup and inventory holding costs. Raw materials are used for the production of these items. In the presence of setup and holding costs for the raw materials, we first formulate a planning model which provides a sharp lower bound on the cost of any policy for the problem. The solution is used to obtain policies which are guaranteed to be very close to optimal in the worst case. Finally, we consider the problem of obtaining good feasible schedules for both the machine and the raw materials.

Suggested Citation

  • Guillermo Gallego & Dev Joneja, 1994. "Economic Lot Scheduling Problem with Raw Material Considerations," Operations Research, INFORMS, vol. 42(1), pages 92-101, February.
    • Handle: RePEc:inm:oropre:v:42:y:1994:i:1:p:92-101
    DOI: 10.1287/opre.42.1.92
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/opre.42.1.92
    Download Restriction: no
    File URL: https://libkey.io/10.1287/opre.42.1.92?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. Drexl, Andreas & Kimms, Alf, 1996. "Lot sizing and scheduling: Survey and extensions," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 421, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    2. David M. Markowitz & Martin I. Reiman & Lawrence M. Wein, 2000. "The Stochastic Economic Lot Scheduling Problem: Heavy Traffic Analysis of Dynamic Cyclic Policies," Operations Research, INFORMS, vol. 48(1), pages 136-154, February.
    3. Goncalves, JoseF. & Leachman, Robert C., 1998. "A hybrid heuristic and linear programming approach to multi-product machine scheduling," European Journal of Operational Research, Elsevier, vol. 110(3), pages 548-563, November.
    4. Sungmin Kang & Kavindra Malik & L. Joseph Thomas, 1999. "Lotsizing and Scheduling on Parallel Machines with Sequence-Dependent Setup Costs," Management Science, INFORMS, vol. 45(2), pages 273-289, February.
    5. Kimms, Alf & Drexl, Andreas, 1996. "Multi-level lot sizing: A literature survey," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 405, 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:oropre:v:42:y:1994:i:1:p:92-101. 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.