Transportation Engineering

A Joint Optimization of Vessel Scheduling and Refueling Strategy for Container Liner Shipping with Cooperative Agreements

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  • College of Transportation Engineering, Dalian Maritime University, Dalian 116026, Liaoning, China

Received date: 2021-04-06

  Online published: 2022-08-16

Abstract

This paper studies the joint optimization problem of vessel scheduling and refueling strategy for container liner shipping with cooperative agreements signed by the container terminal operators and the shipping company with multiple vessel arrival time windows, multiple start and end times, and multiple handling rates. A non-linear mixed integer programming model for vessel scheduling and refueling strategy problem of liner shipping is established considering fuel price difference and discount factors at different refueling ports, which aims to minimize the total cost of liner shipping service. A set of discretization and linearization technique is applied to the original model in accordance with the vessel navigation controlling practice. Taking the AEX1 route served by China COSCO Shipping Corporation Limited as an example, a large number of simulation verifications are conducted. The results of numerical examples show that the joint optimization of vessel scheduling and refueling strategy helps shipping companies to flexibly adjust vessel sailing speed. It can significantly reduce the total cost of liner shipping service. The sensitivity analysis indicates that the total cost of liner shipping service and the vessel refueling volume in a voyage will reduce with the expansion of time window of vessel arrival at port in the cooperative agreement. No matter how the fuel price changes, the joint optimization of vessel scheduling and refueling strategy can effectively reduce the total cost of liner shipping service.

Cite this article

LI Dechang, YANG Hualong, DUAN Jingru . A Joint Optimization of Vessel Scheduling and Refueling Strategy for Container Liner Shipping with Cooperative Agreements[J]. Journal of Shanghai Jiaotong University, 2022 , 56(7) : 953 -964 . DOI: 10.16183/j.cnki.jsjtu.2021.105

References

[1] FAN Y, BEHDANI B, BLOEMHOF-RUWAARD J. et al. Flow consolidation in hinterland container transport: An analysis for perishable and dry cargo[J]. Transportation Research Part E: Logistics and Transportation Review, 2019, 130: 128-160.
[2] WANG S A, MENG Q. Robust bunker management for liner shipping networks[J]. European Journal of Operational Research, 2015, 243(3): 789-797.
[3] CHRISTIANSEN M, FAGERHOLT K, NYGREEN B, et al. Ship routing and scheduling in the new millennium[J]. European Journal of Operational Research, 2013, 228(3): 467-483.
[4] PERAKIS A N, JARAMILLO D I. Fleet deployment optimization for liner shipping—Part 1: Background, problem formulation and solution approaches[J]. Maritime Policy & Management, 1991, 18(3): 183-200.
[5] MANWO N. Distribution-free vessel deployment for liner shipping[J]. European Journal of Operational Research, 2014, 238(3): 858-862.
[6] BROUER B D, ALVAREZ J F, PLUM C E M, et al. A base integer programming model and benchmark suite for liner-shipping network design[J]. Transportation Science, 2014, 48(2): 281-312.
[7] 范厚明, 于佳琪, 马梦知, 等. 模糊时间窗下多船型不定期船调度与航速联合优化[J]. 上海交通大学学报, 2021, 55(3): 297-310.
[7] FAN Houming, YU Jiaqi, MA Mengzhi, et al. Heterogeneous tramp ship scheduling and speed optimization with fuzzy time window[J]. Journal of Shanghai Jiao Tong University, 2021, 55(3): 297-310.
[8] REINHARDT L B, PISINGER D, SIGURD M M, et al. Speed optimizations for liner networks with business constraints[J]. European Journal of Operational Research, 2020, 285(3): 1127-1140.
[9] RONEN D. The effect of oil price on containership speed and fleet size[J]. Journal of the Operational Research Society, 2011, 62(1): 211-216.
[10] FAGERHOLT K, LAPORTE G, NORSTAD I. Reducing fuel emissions by optimizing speed on shipping routes[J]. Journal of the Operational Research Society, 2010, 61(3): 523-529.
[11] WANG C X, CHEN J J. Strategies of refueling, sailing speed and ship deployment of containerships in the low-carbon background[J]. Computers & Industrial Engineering, 2017, 114: 142-150.
[12] WANG S A, ALHARBI A, DAVY P. Liner ship route schedule design with port time windows[J]. Transportation Research Part C: Emerging Technologies, 2014, 41: 1-17.
[13] ALHARBI A, WANG S A, DAVY P. Schedule design for sustainable container supply chain networks with port time windows[J]. Advanced Engineering Informatics, 2015, 29(3): 322-331.
[14] LIU Z Y, WANG S A, DU Y Q, et al. Supply chain cost minimization by collaboration between liner shipping companies and port operators[J]. Transportation Journal, 2016, 55(3): 296-314.
[15] DULEBENETS M A. Minimizing the total liner shipping route service costs via application of an efficient collaborative agreement[J]. IEEE Transactions on Intelligent Transportation Systems, 2019, 20(1): 123-136.
[16] YAO Z S, NG S H, LEE L H. A study on bunker fuel management for the shipping liner services[J]. Computers & Operations Research, 2012, 39(5): 1160-1172.
[17] WANG S A, MENG Q, LIU Z Y. Bunker consumption optimization methods in shipping: A critical review and extensions[J]. Transportation Research Part E: Logistics and Transportation Review, 2013, 53: 49-62.
[18] 邢玉伟, 杨华龙, 马雪菲. 差异化定价策略下的远洋洲际班轮航速与航线配船优化[J]. 系统工程理论与实践, 2018, 38(12): 3222-3234.
[18] XING Yuwei, YANG Hualong, MA Xuefei. Optimization of containership sailing speed and fleet deployment for continental ocean liner based on freight rate differentiation strategy[J]. Systems Engineering-Theory & Practice, 2018, 38(12): 3222-3234.
[19] DULEBENETS M A, OZGUVEN E E. Vessel scheduling in liner shipping: Modeling transport of perishable assets[J]. International Journal of Production Economics, 2017, 184: 141-156.
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