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Bunker consumption optimization methods in shipping: A critical review and extensions

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  • Wang, Shuaian
  • Meng, Qiang
  • Liu, Zhiyuan

Abstract

It is crucial nowadays for shipping companies to reduce bunker consumption while maintaining a certain level of shipping service in view of the high bunker price and concerned shipping emissions. After introducing the three bunker consumption optimization contexts: minimization of total operating cost, minimization of emission and collaborative mechanisms between port operators and shipping companies, this paper presents a critical and timely literature review on mathematical solution methods for bunker consumption optimization problems. Several novel bunker consumption optimization methods are subsequently proposed. The applicability, optimality, and efficiency of the existing and newly proposed methods are also analyzed. This paper provides technical guidelines and insights for researchers and practitioners dealing with the bunker consumption issues.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:transe:v:53:y:2013:i:c:p:49-62 DOI: 10.1016/j.tre.2013.02.003
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    References listed on IDEAS

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    1. Theo E Notteboom, 2006. "The Time Factor in Liner Shipping Services," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 8(1), pages 19-39, March.
    2. Christos Kontovas & Harilaos N. Psaraftis, 2011. "Reduction of emissions along the maritime intermodal container chain: operational models and policies," Maritime Policy & Management, Taylor & Francis Journals, vol. 38(4), pages 451-469, March.
    3. Shintani, Koichi & Imai, Akio & Nishimura, Etsuko & Papadimitriou, Stratos, 2007. "The container shipping network design problem with empty container repositioning," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 43(1), pages 39-59, January.
    4. Wang, Shuaian & Meng, Qiang, 2012. "Robust schedule design for liner shipping services," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(6), pages 1093-1106.
    5. José Fernando Álvarez, 2009. "Joint Routing and Deployment of a Fleet of Container Vessels," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 11(2), pages 186-208, June.
    6. Gelareh, Shahin & Meng, Qiang, 2010. "A novel modeling approach for the fleet deployment problem within a short-term planning horizon," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 46(1), pages 76-89, January.
    7. Gelareh, Shahin & Nickel, Stefan & Pisinger, David, 2010. "Liner shipping hub network design in a competitive environment," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 46(6), pages 991-1004, November.
    8. Meng, Qiang & Wang, Shuaian, 2011. "Optimal operating strategy for a long-haul liner service route," European Journal of Operational Research, Elsevier, vol. 215(1), pages 105-114, November.
    9. Du, Yuquan & Chen, Qiushuang & Quan, Xiongwen & Long, Lei & Fung, Richard Y.K., 2011. "Berth allocation considering fuel consumption and vessel emissions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 47(6), pages 1021-1037.
    10. Bell, Michael G.H. & Liu, Xin & Angeloudis, Panagiotis & Fonzone, Achille & Hosseinloo, Solmaz Haji, 2011. "A frequency-based maritime container assignment model," Transportation Research Part B: Methodological, Elsevier, vol. 45(8), pages 1152-1161, September.
    11. Wang, Shuaian & Meng, Qiang & Liu, Zhiyuan, 2013. "A note on “Berth allocation considering fuel consumption and vessel emissions”," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 49(1), pages 48-54.
    12. Nitin Bakshi & Noah Gans, 2010. "Securing the Containerized Supply Chain: Analysis of Government Incentives for Private Investment," Management Science, INFORMS, vol. 56(2), pages 219-233, February.
    13. Qi, Xiangtong & Song, Dong-Ping, 2012. "Minimizing fuel emissions by optimizing vessel schedules in liner shipping with uncertain port times," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(4), pages 863-880.
    14. Karlaftis, Matthew G. & Kepaptsoglou, Konstantinos & Sambracos, Evangelos, 2009. "Containership routing with time deadlines and simultaneous deliveries and pick-ups," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 45(1), pages 210-221, January.
    15. Wang, Shuaian & Meng, Qiang, 2012. "Liner ship route schedule design with sea contingency time and port time uncertainty," Transportation Research Part B: Methodological, Elsevier, vol. 46(5), pages 615-633.
    16. 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.
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    Citations

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    Cited by:

    1. Jafarzadeh, Sepideh & Utne, Ingrid Bouwer, 2014. "A framework to bridge the energy efficiency gap in shipping," Energy, Elsevier, vol. 69(C), pages 603-612.
    2. Wang, Shuaian & Meng, Qiang, 2015. "Robust bunker management for liner shipping networks," European Journal of Operational Research, Elsevier, vol. 243(3), pages 789-797.
    3. Wang, Shuaian & Qu, Xiaobo & Yang, Ying, 2015. "Estimation of the perceived value of transit time for containerized cargoes," Transportation Research Part A: Policy and Practice, Elsevier, vol. 78(C), pages 298-308.
    4. Liu, Ming & Chu, Feng & Zhang, Zizhen & Chu, Chengbin, 2015. "A polynomial-time heuristic for the quay crane double-cycling problem with internal-reshuffling operations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 81(C), pages 52-74.
    5. Song, Dong-Ping & Li, Dong & Drake, Paul, 2015. "Multi-objective optimization for planning liner shipping service with uncertain port times," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 84(C), pages 1-22.
    6. Li, Chen & Qi, Xiangtong & Song, Dongping, 2016. "Real-time schedule recovery in liner shipping service with regular uncertainties and disruption events," Transportation Research Part B: Methodological, Elsevier, vol. 93(PB), pages 762-788.
    7. 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.
    8. Meng, Qiang & Du, Yuquan & Wang, Yadong, 2016. "Shipping log data based container ship fuel efficiency modeling," Transportation Research Part B: Methodological, Elsevier, vol. 83(C), pages 207-229.
    9. 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.
    10. Wong, Eugene Y.C. & Tai, Allen H. & Lau, Henry Y.K. & Raman, Mardjuki, 2015. "An utility-based decision support sustainability model in slow steaming maritime operations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 78(C), pages 57-69.
    11. repec:eee:transb:v:104:y:2017:i:c:p:198-214 is not listed on IDEAS
    12. Liu, Zhiyuan & Meng, Qiang & Wang, Shuaian & Sun, Zhuo, 2014. "Global intermodal liner shipping network design," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 61(C), pages 28-39.
    13. 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.
    14. Reinhardt, Line Blander & Plum, Christian E.M. & Pisinger, David & Sigurd, Mikkel M. & Vial, Guillaume T.P., 2016. "The liner shipping berth scheduling problem with transit times," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 86(C), pages 116-128.
    15. Dulebenets, Maxim A. & Ozguven, Eren Erman, 2017. "Vessel scheduling in liner shipping: Modeling transport of perishable assets," International Journal of Production Economics, Elsevier, vol. 184(C), pages 141-156.
    16. Mansouri, S. Afshin & Lee, Habin & Aluko, Oluwakayode, 2015. "Multi-objective decision support to enhance environmental sustainability in maritime shipping: A review and future directions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 78(C), pages 3-18.

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