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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
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    Citations

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    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. Brian Denton & Diwakar Gupta & Keith Jawahir, 2003. "Managing Increasing Product Variety at Integrated Steel Mills," Interfaces, INFORMS, vol. 33(2), pages 41-53, April.
    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.

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