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Stochastic flow shop scheduling model for the Panama Canal

Author

Listed:
  • J Jackman

    (Iowa State University, Ames)

  • Z Guerra de Castillo

    (Universidad Tecnológicade Panamá)

  • S Olafsson

    (Iowa State University, Ames)

Abstract

Reducing transit time is becoming increasingly important in maritime shipping of manufactured goods and commodities. Traversing the Panama Canal is a principal component of many global companies’ strategies to reduce shipping time in their supply chain. Operations in the Panama Canal can be described by a capacitated queueing network. In this study we used a metaheuristic approach based on Nested Partitions to find near optimal schedules for daily vessel traffic consisting of large vessels that want to pass through the Panama Canal. Results indicate that the metaheuristic technique consistently reduced the makespan of a set of vessels as compared to historical schedules used in canal operations. We also found distinct patterns in the schedules in which certain vessels consistently appeared at a certain position in the schedule.

Suggested Citation

  • J Jackman & Z Guerra de Castillo & S Olafsson, 2011. "Stochastic flow shop scheduling model for the Panama Canal," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(1), pages 69-80, January.
    • Handle: RePEc:pal:jorsoc:v:62:y:2011:i:1:d:10.1057_jors.2009.188
    DOI: 10.1057/jors.2009.188
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    References listed on IDEAS

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    1. Kamburowski, Jerzy, 1999. "Stochastically minimizing the makespan in two-machine flow shops without blocking," European Journal of Operational Research, Elsevier, vol. 112(2), pages 304-309, January.
    2. O Etiler & B Toklu & M Atak & J Wilson, 2004. "A genetic algorithm for flow shop scheduling problems," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(8), pages 830-835, August.
    3. Gourgand, Michel & Grangeon, Nathalie & Norre, Sylvie, 2003. "A contribution to the stochastic flow shop scheduling problem," European Journal of Operational Research, Elsevier, vol. 151(2), pages 415-433, December.
    4. J N D Gupta & J C Ho & S Webster, 2000. "Bicriteria optimisation of the makespan and mean flowtime on two identical parallel machines," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 51(11), pages 1330-1339, November.
    5. Kamburowski, Jerzy, 2000. "On three-machine flow shops with random job processing times," European Journal of Operational Research, Elsevier, vol. 125(2), pages 440-448, September.
    6. Michael Pinedo, 1982. "Minimizing the Expected Makespan in Stochastic Flow Shops," Operations Research, INFORMS, vol. 30(1), pages 148-162, February.
    7. M Kumral & P A Dowd, 2005. "A simulated annealing approach to mine production scheduling," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(8), pages 922-930, August.
    8. P A Huegler & F J Vasko, 2007. "Metaheuristics for meltshop scheduling in the steel industry," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(6), pages 791-796, June.
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    Cited by:

    1. Petris, Matteo & Pellegrini, Paola & Pesenti, Raffaele, 2022. "Models and algorithms for an integrated vessel scheduling and tug assignment problem within a canal harbor," European Journal of Operational Research, Elsevier, vol. 300(3), pages 1120-1135.

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