IDEAS home Printed from https://ideas.repec.org/a/inm/ormnsc/v28y1982i12p1450-1461.html
   My bibliography  Save this article

A Mathematical Programming Approach to Schedule Master Slab Casters in the Steel Industry

Author

Listed:
  • Mark A. Vonderembse

    (University of Toledo)

  • Robert W. Haessler

    (University of Michigan)

Abstract

This paper examines an important scheduling problem resulting from a new process for continuously casting steel. A master slab caster produces slabs which are wider than customer needs, and therefore, these must be ripped longitudinally at least once before they can be processed to a customer-specified width. The purpose of this research is to develop an effective and efficient algorithm for combining customer sizes in order to economically schedule the ripping process. Such a solution procedure could be used to assist decision-makers in selecting master slab widths for production and in designing width limitations for future casters. The method entails more than the minimization of trim loss because other costs are relevant. Mathematical programming is used to arrive at an optimal or near-optimal solution to this production management problem. The results indicate that the procedure described in this paper reduces to total costs dramatically.

Suggested Citation

  • Mark A. Vonderembse & Robert W. Haessler, 1982. "A Mathematical Programming Approach to Schedule Master Slab Casters in the Steel Industry," Management Science, INFORMS, vol. 28(12), pages 1450-1461, December.
    • Handle: RePEc:inm:ormnsc:v:28:y:1982:i:12:p:1450-1461
    DOI: 10.1287/mnsc.28.12.1450
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mnsc.28.12.1450
    Download Restriction: no
    File URL: https://libkey.io/10.1287/mnsc.28.12.1450?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. Brian Denton & Diwakar Gupta & Keith Jawahir, 2003. "Managing Increasing Product Variety at Integrated Steel Mills," Interfaces, INFORMS, vol. 33(2), pages 41-53, April.
    2. Lixin Tang & Ying Meng & Zhi-Long Chen & Jiyin Liu, 2016. "Coil Batching to Improve Productivity and Energy Utilization in Steel Production," Manufacturing & Service Operations Management, INFORMS, vol. 18(2), pages 262-279, May.
    3. M. Muntazir Mehdi & Le Wang & Sean P. Willems, 2022. "Developing a Maximum Inscribed Rectangle Heuristic to Satisfy Rush Orders for Heavy Plate Steel," Interfaces, INFORMS, vol. 52(3), pages 283-294, May.
    4. P A Huegler & J C Hartman, 2007. "Fulfilling orders for steel plates from existing inventory," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(9), pages 1156-1166, September.
    5. Goutam Dutta & Robert Fourer, 2001. "A Survey of Mathematical Programming Applications in Integrated Steel Plants," Manufacturing & Service Operations Management, INFORMS, vol. 3(4), pages 387-400.
    6. Bowers, M.R. & Kaplan, L.A. & Hooker, T.L., 1995. "A two-phase model for planning the production of aluminum ingot," European Journal of Operational Research, Elsevier, vol. 81(1), pages 105-114, February.

    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:28:y:1982:i:12:p:1450-1461. 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.