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Scheduling patrol boats and crews for the Royal Australian Navy

Author

Listed:
  • M E T Horn

    (CSIRO Mathematical and Information Sciences)

  • H Jiang

    (University of Cambridge)

  • P Kilby

    (Australian National University)

Abstract

The Royal Australian Navy's Patrol Boat Force carries out essential tasks in the surveillance, policing and defence of Australia's coastal waters. To help the Navy make efficient use of a new generation of boats, the authors have developed optimization procedures to schedule the activities of the boats and their crews. The procedures—embodied in a software system called CBM (‘Crews, Boats, Missions’)—use simulated annealing and specialized heuristic techniques within a multi-stage problem-solving framework. Tests show that CBM is reliable in terms of solution quality, and flexible with respect to the range of scheduling conditions applied. CBM has proved valuable to the Navy as an investigatory tool, and it is planned that it should be adapted for operational use, as part of a decision support system to aid in the ongoing management of patrol boat operations.

Suggested Citation

  • M E T Horn & H Jiang & P Kilby, 2007. "Scheduling patrol boats and crews for the Royal Australian Navy," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(10), pages 1284-1293, October.
    • Handle: RePEc:pal:jorsoc:v:58:y:2007:i:10:d:10.1057_palgrave.jors.2602300
    DOI: 10.1057/palgrave.jors.2602300
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    References listed on IDEAS

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    1. Freling, R. & Huisman, D. & Wagelmans, A.P.M., 2000. "Models and algorithms for Integration of Vehicle and Crew Scheduling," ERIM Report Series Research in Management ERS-2000-14-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
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    4. Knut Haase & Guy Desaulniers & Jacques Desrosiers, 2001. "Simultaneous Vehicle and Crew Scheduling in Urban Mass Transit Systems," Transportation Science, INFORMS, vol. 35(3), pages 286-303, August.
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    Cited by:

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