Cooperative Optimization for Port and Shipping Line with Unpredictable Disturbance Consideration

As the container shipping which is a complex logistics system is affected by a variety of unpredictable disturbances, a cooperative optimization model of berth and speed is proposed to realize the coordination between port and shipping line. Regarding the total port time of vessels as the objective, a discrete berth allocation model is established. Based on a nonlinear relationship between fuel consumption and speed, a speed optimization model for the vessel is also established, and the fuel consumption during the port time is introduced to improve it. To integrate the berth allocation and the speed optimization, a dynamic negotiation mechanism for port and vessels based on the speed is designed. The simulation experiments verify that the coordination proposed can reduce both the influence of disturbance and the fuel consumption.

[1]  Richard Y. K. Fung,et al.  Berth allocation considering fuel consumption and vessel emissions , 2011 .

[2]  Bin Sun,et al.  The integrated real-time scheduling for berths and quay cranes , 2016, CCC 2016.

[3]  José Fernando Álvarez,et al.  Joint Routing and Deployment of a Fleet of Container Vessels , 2009 .

[4]  Loo Hay Lee,et al.  A decision model for berth allocation under uncertainty , 2011, Eur. J. Oper. Res..

[5]  Kay Chen Tan,et al.  Multi-objective and prioritized berth allocation in container ports , 2010, Ann. Oper. Res..

[6]  Christos A. Kontovas,et al.  The multi-port berth allocation problem with speed optimization and emission considerations , 2017 .

[7]  Maria Flavia Monaco,et al.  The Berth Allocation Problem: A Strong Formulation Solved by a Lagrangean Approach , 2007, Transp. Sci..

[8]  T. Notteboom,et al.  The effect of high fuel costs on liner service configuration in container shipping , 2009 .

[9]  Inge Norstad,et al.  Tramp ship routing and scheduling with speed optimization , 2011 .

[10]  Bernhard Sendhoff,et al.  Robust Optimization - A Comprehensive Survey , 2007 .

[11]  Chen Qiushuang,et al.  A multi-objective genetic algorithm for berth allocation and quay crane assignment problem , 2011, 2011 Chinese Control and Decision Conference (CCDC).

[12]  Der-Horng Lee,et al.  The continuous Berth Allocation Problem: A Greedy Randomized Adaptive Search Solution , 2010 .

[13]  Qiushuang Chen,et al.  A feedback procedure for robust berth allocation with stochastic vessel delays , 2010, 2010 8th World Congress on Intelligent Control and Automation.

[14]  T. Notteboom The Time Factor in Liner Shipping Services , 2006 .

[15]  James J. Corbett,et al.  The effectiveness and costs of speed reductions on emissions from international shipping , 2009 .

[16]  Inge Norstad,et al.  Reducing fuel emissions by optimizing speed on shipping routes , 2010, J. Oper. Res. Soc..

[17]  Reinaldo Morabito,et al.  Optimizing multiship routing and scheduling with constraints on inventory levels in a Brazilian oil company , 2018, Int. Trans. Oper. Res..