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Integrated maritime bunker management with stochastic fuel prices and new emission regulations

Author

Listed:
  • Gu, Yewen

    (Dept. of Business and Management Science, Norwegian School of Economics)

  • Wallace, Stein W.

    (Dept. of Business and Management Science, Norwegian School of Economics)

  • Wang, Xin

    (Department of Industrial Economics and Technology Management, Norwegian University of Science and Technology)

Abstract
Maritime bunker management (MBM) controls the procurement and consumption of the fuels used on board and therefore manages one of the most important cost drivers in the shipping industry. At the operational level, a shipping company needs to manage its fuel consumption by making optimal routing and speed decisions for each voyage. But since fuel prices are highly volatile, a shipping company sometimes also needs to do tactical fuel hedging in the forward market to control risk and cost volatility. From an operations research perspective, it is customary to think of tactical and operational decisions as tightly linked. However, the existing literature on MBM normally focuses on only one of these two levels, rather than taking an integrated point of view. This is in line with how shipping companies operate; tactical and operational bunker management decisions are made in isolation. We develop a stochastic programming model involving both tactical and operational decisions in MBM in order to minimize the total expected fuel costs, controlled for financial risk, within a planning period. This paper points out that after the latest regulation of the Sulphur Emission Control Areas (SECA) came into force in 2015, an integration of the tactical and operational levels in MBM has become important for shipping companies whose business deals with SECA. The results of the computational study shows isolated decision making on either tactical or operational level in MBM will lead to various problem. Nevertheless, the most server consequence occurs when tactical decisions are made in isolation.

Suggested Citation

  • 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.
  • Handle: RePEc:hhs:nhhfms:2016_013
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    File URL: http://hdl.handle.net/11250/2401601
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    References listed on IDEAS

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    1. Lindstad, Haakon & Asbjørnslett, Bjørn E. & Strømman, Anders H., 2011. "Reductions in greenhouse gas emissions and cost by shipping at lower speeds," Energy Policy, Elsevier, vol. 39(6), pages 3456-3464, June.
    2. Amir Alizadeh & Manolis Kavussanos & David Menachof, 2004. "Hedging against bunker price fluctuations using petroleum futures contracts: constant versus time-varying hedge ratios," Applied Economics, Taylor & Francis Journals, vol. 36(12), pages 1337-1353.
    3. Jun Xia & Kevin X. Li & Hong Ma & Zhou Xu, 2015. "Joint Planning of Fleet Deployment, Speed Optimization, and Cargo Allocation for Liner Shipping," Transportation Science, INFORMS, vol. 49(4), pages 922-938, November.
    4. Wang, Shuaian & Meng, Qiang & Liu, Zhiyuan, 2013. "Bunker consumption optimization methods in shipping: A critical review and extensions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 53(C), pages 49-62.
    5. Wang, Shuaian & Meng, Qiang, 2015. "Robust bunker management for liner shipping networks," European Journal of Operational Research, Elsevier, vol. 243(3), pages 789-797.
    6. D Ronen, 2011. "The effect of oil price on containership speed and fleet size," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(1), pages 211-216, January.
    7. Prodhon, Caroline & Prins, Christian, 2014. "A survey of recent research on location-routing problems," European Journal of Operational Research, Elsevier, vol. 238(1), pages 1-17.
    8. Xiaoyu Wang & Chee-Chong Teo, 2013. "Integrated hedging and network planning for container shipping's bunker fuel management," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 15(2), pages 172-196, June.
    9. Mr. Noureddine Krichene, 2008. "Crude Oil Prices: Trends and Forecast," IMF Working Papers 2008/133, International Monetary Fund.
    10. 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.
    11. Christian Edinger Munk Plum & Peter Neergaard Jensen & David Pisinger, 2014. "Bunker purchasing with contracts," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 16(4), pages 418-435, December.
    12. Wang, Shuaian & Meng, Qiang, 2012. "Sailing speed optimization for container ships in a liner shipping network," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(3), pages 701-714.
    13. Ghosh, Sugoutam & Lee, Loo Hay & Ng, Szu Hui, 2015. "Bunkering decisions for a shipping liner in an uncertain environment with service contract," European Journal of Operational Research, Elsevier, vol. 244(3), pages 792-802.
    14. K Fagerholt & G Laporte & I Norstad, 2010. "Reducing fuel emissions by optimizing speed on shipping routes," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(3), pages 523-529, March.
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    Cited by:

    1. 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.

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    More about this item

    Keywords

    Maritime bunker management; SECA; risk management; stochastic programming; fuel hedging; sailing behavior;
    All these keywords.

    JEL classification:

    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General

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