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Selecting Optimal Ingot Sizes for Bethlehem Steel

Author

Listed:
  • Francis J. Vasko

    (Mathematics and CIS Department, Kutztown University, Kutztown, Pennsylvania 19530)

  • Floyd E. Wolf

    (Systems Analysis Group, Homer Research Laboratories, Bethlehem Steel Corporation, Bethlehem, Pennsylvania 18016)

  • Kenneth L. Stott

    (Systems Analysis Group, Homer Research Laboratories, Bethlehem Steel Corporation, Bethlehem, Pennsylvania 18016)

  • James W. Scheirer

    (Saucon Mills Technology, Bethlehem Plant Technology, Bethlehem Steel Corporation, Bethlehem, Pennsylvania 18016)

Abstract

To take maximum advantage of a new ingot mold stripping facility, which was installed in 1984 at the Bethlehem Plant, we developed a two-phase, computer-based procedure for selecting optimal ingot dimensions and internal ingot mold dimensions. Phase 1 generated feasible ingot and internal ingot mold dimensions consistent with the new stripper's capability and with foundry, steelmaking, metallurgical, mill, and shipping yard constraints. Phase 2 then used a set-covering approach to select the optimal ingot and internal ingot mold sizes from among the feasible sizes. Based on model results and following trial mill tests, full production use of new mold sizes has affected the entire plant operation, resulting in over $8 million annual realized savings.

Suggested Citation

  • Francis J. Vasko & Floyd E. Wolf & Kenneth L. Stott & James W. Scheirer, 1989. "Selecting Optimal Ingot Sizes for Bethlehem Steel," Interfaces, INFORMS, vol. 19(1), pages 68-84, February.
    • Handle: RePEc:inm:orinte:v:19:y:1989:i:1:p:68-84
    DOI: 10.1287/inte.19.1.68
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    Citations

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    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. M. Almiñana & J. Pastor, 1994. "Two new heuristics for the location set covering problem," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 2(2), pages 315-328, December.
    3. 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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