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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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    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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