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Optimal bunkering contract in a buyer–seller supply chain under price and consumption uncertainty

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  • Pedrielli, Giulia
  • Lee, Loo Hay
  • Ng, Szu Hui

Abstract

Bunker fuel constitutes about three quarters of the operational costs for liners. A strong effort is justified to define operational conditions and management strategies to minimize fuel-related costs, especially if the variability of fuel price is considered. Fuel sellers and liners use contracts to be guaranteed a refuelling quantity and control bunker price. We propose a game theory based approach to examine and optimize the parameters of a realistic bunkering contract. Under the proposed settings, the supplier and the buyer establish the bunker quantity and the price to maximize the expected profit and minimize the expected refuelling cost, respectively.

Suggested Citation

  • Pedrielli, Giulia & Lee, Loo Hay & Ng, Szu Hui, 2015. "Optimal bunkering contract in a buyer–seller supply chain under price and consumption uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 77(C), pages 77-94.
    • Handle: RePEc:eee:transe:v:77:y:2015:i:c:p:77-94
    DOI: 10.1016/j.tre.2015.02.010
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    3. Mulder, J. & Dekker, R., 2016. "Optimization in container liner shipping," Econometric Institute Research Papers EI2016-05, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    4. Gu, Yewen & Wallace, Stein W. & Wang, Xin, 2016. "Integrated maritime bunker management with stochastic fuel prices and new emission regulations," Discussion Papers 2016/13, Norwegian School of Economics, Department of Business and Management Science.
    5. Yewen Gu & Stein W. Wallace & Xin Wang, 2017. "The Impact of Bunker Risk Management on CO2 Emissions in Maritime Transportation Under ECA Regulation," Springer Optimization and Its Applications, in: Didem Cinar & Konstantinos Gakis & Panos M. Pardalos (ed.), Sustainable Logistics and Transportation, pages 199-224, Springer.
    6. Tzeu-Chen Han & Chih-Min Wang, 2021. "Shipping Bunker Cost Risk Assessment and Management during the Coronavirus Oil Shock," Sustainability, MDPI, vol. 13(9), pages 1-12, April.
    7. Zhen, Lu & Wang, Shuaian & Zhuge, Dan, 2017. "Dynamic programming for optimal ship refueling decision," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 100(C), pages 63-74.

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