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A simulation study of the fleet sizing problem arising in offshore anchor handling operations

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  • Shyshou, Aliaksandr
  • Gribkovskaia, Irina
  • Barceló, Jaume

Abstract

A fleet sizing problem arising in anchor handling operations related to movement of offshore mobile units is presented in this paper. Typically, the intensity of these operations is unevenly spread throughout the year. The operations are performed by dedicated vessels, which can be hired either on the long-term basis or on the spot market. Spot rates are frequently a magnitude higher than long-term rates, and vessels are hired on the spot market if there is a shortage of long-term vessels to cover the ongoing anchor handling operations. Deciding the cost-optimal fleet of vessels on the long-term hire to cover future operations is a problem facing offshore oil and gas operators. This decision has a heavy economic impact as anchor handling vessels are among the most expensive ones. The problem is highly stochastic because durations of anchor handling operations vary and depend on uncertain weather conditions. Moreover, future spot rates for anchor handling vessels are extremely volatile. The objective of this paper is to describe a simulation model for the fleet sizing problem. The study was initiated by the largest Norwegian offshore oil and gas operator and has received considerable acceptance among the planners.

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  • Shyshou, Aliaksandr & Gribkovskaia, Irina & Barceló, Jaume, 2010. "A simulation study of the fleet sizing problem arising in offshore anchor handling operations," European Journal of Operational Research, Elsevier, vol. 203(1), pages 230-240, May.
  • Handle: RePEc:eee:ejores:v:203:y:2010:i:1:p:230-240
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    1. Marielle Christiansen & Kjetil Fagerholt & David Ronen, 2004. "Ship Routing and Scheduling: Status and Perspectives," Transportation Science, INFORMS, vol. 38(1), pages 1-18, February.
    2. L. Jeff Hong & Barry L. Nelson, 2006. "Discrete Optimization via Simulation Using COMPASS," Operations Research, INFORMS, vol. 54(1), pages 115-129, February.
    3. Octavio Richetta & Richard C. Larson, 1997. "Modeling the Increased Complexity of New York City's Refuse Marine Transport System," Transportation Science, INFORMS, vol. 31(3), pages 272-293, August.
    4. Quadrifoglio, Luca & Dessouky, Maged M. & Ordóñez, Fernando, 2008. "A simulation study of demand responsive transit system design," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(4), pages 718-737, May.
    5. Richard C. Larson, 1988. "Transporting Sludge to the 106-Mile Site: An Inventory/Routing Model for Fleet Sizing and Logistics System Design," Transportation Science, INFORMS, vol. 22(3), pages 186-198, August.
    6. Justin Boesel & Barry L. Nelson & Seong-Hee Kim, 2003. "Using Ranking and Selection to “Clean Up” after Simulation Optimization," Operations Research, INFORMS, vol. 51(5), pages 814-825, October.
    7. Godwin, T. & Gopalan, Ram & Narendran, T.T., 2008. "Tactical locomotive fleet sizing for freight train operations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 44(3), pages 440-454, May.
    8. Akio Imai & Fausto Rivera, 2001. "Strategic fleet size planning for maritime refrigerated containers," Maritime Policy & Management, Taylor & Francis Journals, vol. 28(4), pages 361-374, October.
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