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Passenger and pilot risk minimization in offshore helicopter transportation

Author

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  • Qian, Fubin
  • Gribkovskaia, Irina
  • Laporte, Gilbert
  • Halskau sr., Øyvind

Abstract

In the offshore petroleum industry, employees are transported to and from the offshore installations by helicopter, which represents a major risk. This paper analyzes how to improve transportation safety by solving the helicopter routing problem with a risk objective expressed in terms of expected number of fatalities. A mathematical model is proposed and a tabu search heuristic is applied to this problem. Three routing policies are considered: a direct routing policy, a Hamiltonian routing policy, and a general routing policy. Extensive computational experiments are conducted on instances derived from real data in order to assess and compare these policies under a travel time, a passenger risk and a combined passenger and pilot risk objective. Several management insights can be derived from this study. In particular, our results show that passenger transportation risk can be reduced by increasing travel time at the expense of pilot risk. This can be achieved through a reduction of the average number of passengers onboard by applying either a Hamiltonian or a general routing policy. Our methodology can also be used to derive an equitable distribution of risk between passengers and pilots, considering that pilots fly much more frequently than passengers.

Suggested Citation

  • Qian, Fubin & Gribkovskaia, Irina & Laporte, Gilbert & Halskau sr., Øyvind, 2012. "Passenger and pilot risk minimization in offshore helicopter transportation," Omega, Elsevier, vol. 40(5), pages 584-593.
  • Handle: RePEc:eee:jomega:v:40:y:2012:i:5:p:584-593
    DOI: 10.1016/j.omega.2011.11.003
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    Cited by:

    1. Brachner, Markus & Hvattum, Lars Magnus, 2017. "Combined emergency preparedness and operations for safe personnel transport to offshore locations," Omega, Elsevier, vol. 67(C), pages 31-41.
    2. Salazar-González, Juan-José, 2014. "Approaches to solve the fleet-assignment, aircraft-routing, crew-pairing and crew-rostering problems of a regional carrier," Omega, Elsevier, vol. 43(C), pages 71-82.
    3. Liu, Ran & Xie, Xiaolan & Garaix, Thierry, 2014. "Hybridization of tabu search with feasible and infeasible local searches for periodic home health care logistics," Omega, Elsevier, vol. 47(C), pages 17-32.
    4. Gribkovskaia, Irina & Halskau, Oyvind & Kovalyov, Mikhail Y., 2015. "Minimizing takeoff and landing risk in helicopter pickup and delivery operations," Omega, Elsevier, vol. 55(C), pages 73-80.
    5. Qian, Fubin & Strusevich, Vitaly & Gribkovskaia, Irina & Halskau, Øyvind, 2015. "Minimization of passenger takeoff and landing risk in offshore helicopter transportation: Models, approaches and analysis," Omega, Elsevier, vol. 51(C), pages 93-106.
    6. Vieira, Thiago & De La Vega, Jonathan & Tavares, Roberto & Munari, Pedro & Morabito, Reinaldo & Bastos, Yan & Ribas, Paulo César, 2021. "Exact and heuristic approaches to reschedule helicopter flights for personnel transportation in the oil industry," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 151(C).
    7. Kerkhove, L.-P. & Vanhoucke, M., 2017. "Optimised scheduling for weather sensitive offshore construction projects," Omega, Elsevier, vol. 66(PA), pages 58-78.

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