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Formulating and solving production planning problems

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  • LeBlanc, Larry J.
  • Shtub, Avraham
  • Anandalingam, G.

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  • LeBlanc, Larry J. & Shtub, Avraham & Anandalingam, G., 1999. "Formulating and solving production planning problems," European Journal of Operational Research, Elsevier, vol. 112(1), pages 54-80, January.
    • Handle: RePEc:eee:ejores:v:112:y:1999:i:1:p:54-80
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    References listed on IDEAS

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    1. Zegordi, Seyed Hessameddin & Itoh, Kenji & Enkawa, Takao, 1995. "Minimizing makespan for flow shop scheduling by combining simulated annealing with sequencing knowledge," European Journal of Operational Research, Elsevier, vol. 85(3), pages 515-531, September.
    2. Peter C. Fetterolf & G. Anandalingam, 1991. "Optimizing Interconnections of Local Area Networks: An Approach Using Simulated Annealing," INFORMS Journal on Computing, INFORMS, vol. 3(4), pages 275-287, November.
    3. Ben-Daya, M. & Al-Fawzan, M., 1996. "A simulated annealing approach for the one-machine mean tardiness scheduling problem," European Journal of Operational Research, Elsevier, vol. 93(1), pages 61-67, August.
    4. David S. Johnson & Cecilia R. Aragon & Lyle A. McGeoch & Catherine Schevon, 1989. "Optimization by Simulated Annealing: An Experimental Evaluation; Part I, Graph Partitioning," Operations Research, INFORMS, vol. 37(6), pages 865-892, December.
    5. Bruce Hajek, 1988. "Cooling Schedules for Optimal Annealing," Mathematics of Operations Research, INFORMS, vol. 13(2), pages 311-329, May.
    6. Richard S. Barr & Fred Glover & Darwin Klingman, 1981. "A New Optimization Method for Large Scale Fixed Charge Transportation Problems," Operations Research, INFORMS, vol. 29(3), pages 448-463, June.
    7. Bezalel Gavish & Hasan Pirkul, 1991. "Algorithms for the Multi-Resource Generalized Assignment Problem," Management Science, INFORMS, vol. 37(6), pages 695-713, June.
    8. Sofianopoulou, Stella, 1992. "Simulated annealing applied to the process allocation problem," European Journal of Operational Research, Elsevier, vol. 60(3), pages 327-334, August.
    9. Martello, Silvano & Toth, Paolo, 1977. "An upper bound for the zero-one knapsack problem and a branch and bound algorithm," European Journal of Operational Research, Elsevier, vol. 1(3), pages 169-175, May.
    10. D. Abramson, 1991. "Constructing School Timetables Using Simulated Annealing: Sequential and Parallel Algorithms," Management Science, INFORMS, vol. 37(1), pages 98-113, January.
    11. Robert M. Nauss, 1976. "An Efficient Algorithm for the 0-1 Knapsack Problem," Management Science, INFORMS, vol. 23(1), pages 27-31, September.
    12. Pirkul, Hasan, 1986. "An integer programming model for the allocation of databases in a distributed computer system," European Journal of Operational Research, Elsevier, vol. 26(3), pages 401-411, September.
    13. Connolly, David T., 1990. "An improved annealing scheme for the QAP," European Journal of Operational Research, Elsevier, vol. 46(1), pages 93-100, May.
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    Cited by:

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