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A dynamic programming method for single machine scheduling

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  • Ibaraki, Toshihide
  • Nakamura, Yuichi

Abstract

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Suggested Citation

  • Ibaraki, Toshihide & Nakamura, Yuichi, 1994. "A dynamic programming method for single machine scheduling," European Journal of Operational Research, Elsevier, vol. 76(1), pages 72-82, July.
  • Handle: RePEc:eee:ejores:v:76:y:1994:i:1:p:72-82
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    Citations

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    Cited by:

    1. Mosheiov, Gur & Oron, Daniel, 2007. "Minmax scheduling with job-classes and earliness-tardiness costs," European Journal of Operational Research, Elsevier, vol. 177(1), pages 612-622, February.
    2. Alidaee, Bahram & Li, Haitao & Wang, Haibo & Womer, Keith, 2021. "Integer programming formulations in sequencing with total earliness and tardiness penalties, arbitrary due dates, and no idle time: A concise review and extension," Omega, Elsevier, vol. 103(C).
    3. Koulamas, Christos & Kyparisis, George J., 2023. "A classification of dynamic programming formulations for offline deterministic single-machine scheduling problems," European Journal of Operational Research, Elsevier, vol. 305(3), pages 999-1017.
    4. Detienne, Boris & Sadykov, Ruslan & Tanaka, Shunji, 2016. "The two-machine flowshop total completion time problem: Branch-and-bound algorithms based on network-flow formulation," European Journal of Operational Research, Elsevier, vol. 252(3), pages 750-760.
    5. Sen, Tapan & Sulek, Joanne M. & Dileepan, Parthasarati, 2003. "Static scheduling research to minimize weighted and unweighted tardiness: A state-of-the-art survey," International Journal of Production Economics, Elsevier, vol. 83(1), pages 1-12, January.
    6. Ventura, Jose A. & Radhakrishnan, Sanjay, 2003. "Single machine scheduling with symmetric earliness and tardiness penalties," European Journal of Operational Research, Elsevier, vol. 144(3), pages 598-612, February.
    7. Ramachandra, Girish & Elmaghraby, Salah E., 2006. "Sequencing precedence-related jobs on two machines to minimize the weighted completion time," International Journal of Production Economics, Elsevier, vol. 100(1), pages 44-58, March.
    8. Yunpeng Pan & Zhe Liang, 2017. "Dual relaxations of the time-indexed ILP formulation for min–sum scheduling problems," Annals of Operations Research, Springer, vol. 249(1), pages 197-213, February.
    9. Rostami, Salim & Creemers, Stefan & Leus, Roel, 2019. "Precedence theorems and dynamic programming for the single-machine weighted tardiness problem," European Journal of Operational Research, Elsevier, vol. 272(1), pages 43-49.
    10. Yagiura, Mutsunori & Ibaraki, Toshihide, 1996. "The use of dynamic programming in genetic algorithms for permutation problems," European Journal of Operational Research, Elsevier, vol. 92(2), pages 387-401, July.
    11. Clautiaux, F. & Detienne, B. & Guillot, G., 2021. "An iterative dynamic programming approach for the temporal knapsack problem," European Journal of Operational Research, Elsevier, vol. 293(2), pages 442-456.
    12. Tanaka, Shunji & Sato, Shun, 2013. "An exact algorithm for the precedence-constrained single-machine scheduling problem," European Journal of Operational Research, Elsevier, vol. 229(2), pages 345-352.
    13. Daniel Oliveira & Artur Pessoa, 2020. "An Improved Branch-Cut-and-Price Algorithm for Parallel Machine Scheduling Problems," INFORMS Journal on Computing, INFORMS, vol. 32(1), pages 90-100, January.
    14. Palmowski, Zbigniew & Sidorowicz, Aleksandra, 2020. "An application of dynamic programming to assign pressing tanks at wineries," European Journal of Operational Research, Elsevier, vol. 287(1), pages 293-305.

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