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A finite capacity production scheduling procedure for a belgian steel company

Author

Listed:
  • Debels, D.
  • Vanhoucke, M.

    (Vlerick Leuven Gent Management School)

Abstract

We present a finite capacity production scheduling algorithm for an integrated steel company located in Belgium. This multiple-objective optimization model takes various case-specific constraints into account and consists of two steps. A machine assignment step determines the routing of an individual order through the network while a scheduling step makes a detailed timetable for each operation for all orders. The procedure has been tested on randomly generated data instances that reflect the characteristics of the steel company. We report promising computational results and illustrate the flexibility of the optimization model with respect to the various input parameters.

Suggested Citation

  • Debels, D. & Vanhoucke, M., 2006. "A finite capacity production scheduling procedure for a belgian steel company," Vlerick Leuven Gent Management School Working Paper Series 2006-41, Vlerick Leuven Gent Management School.
    • Handle: RePEc:vlg:vlgwps:2006-41
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    References listed on IDEAS

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    1. Peter J. Billington & John O. McClain & L. Joseph Thomas, 1983. "Mathematical Programming Approaches to Capacity-Constrained MRP Systems: Review, Formulation and Problem Reduction," Management Science, INFORMS, vol. 29(10), pages 1126-1141, October.
    2. Rom, Walter O. & Tukel, Oya Icmeli & Muscatello, Joseph R., 2002. "MRP in a job shop environment using a resource constrained project scheduling model," Omega, Elsevier, vol. 30(4), pages 275-286, August.
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    5. Tang, Lixin & Liu, Jiyin & Rong, Aiying & Yang, Zihou, 2001. "A review of planning and scheduling systems and methods for integrated steel production," European Journal of Operational Research, Elsevier, vol. 133(1), pages 1-20, August.
    6. Gabriel R. Bitran & Arnoldo C. Hax, 1981. "Disaggregation and Resource Allocation Using Convex Knapsack Problems with Bounded Variables," Management Science, INFORMS, vol. 27(4), pages 431-441, April.
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    Keywords

    Master production scheduling; manufacturing planning and control; scheduling/sequencing.;
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