A Stochastic Programming Optimization Model of Container Shipping of Sea-Carriage

Abstract:

The paper dose research about the optimization of container shipping of sea carriage for meeting the goods transport requirement by use of stochastic programming. Both laden and empty containers are combined into a system. In particular, the effect of special laden container shipping capacity on the shipping plan is investigated. In the model, the objective function is to maximize the total profit of container shipping. The profit caused by laden container shipping minus the cost caused by both laden and empty container shipping equal to the total profit. The constraints to the model include meeting the need of both laden and empty containers, shipping limit to both common and special laden containers, the number of empty container supported. The number of empty containers is stochastic and the model is transmitted to an integer programming. Lingo9.0 is used to solve the model and shipping methods in varied parameters are shown by simulation. The aim of the paper is to provide a reasonable plan of container shipping of sea-carriage, so the container shipping cost of a shipping company can be reduced and the its profit made by container shipping are maximized.

• Periodical: Applied Mechanics and Materials (Volumes 411-414)
• Pages: 2715-2720
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.411-414.2715
• Online since: September 2013
• Authors: Bin Wang, Tao Yang
• Keywords: Chance-Constrained Programming, Container, Line, Simulation, Special Container

References

[1] K. Shintani，A. Imai, E. Nishimura, S. Papadimitriou: The containershipping network design problem with empty container repositioning. Transportation research E, Vol. 43(1), (2007): p.39-p.59.

DOI: 10.1016/j.tre.2005.05.003

[2] P.M. Panayides, R. Wiedmer: Strategy alliances in container liner shipping. Research in transportation economics, Vol. 32(1), （2011）: p.25-p.38.

DOI: 10.1016/j.retrec.2011.06.008

[3] W.M. Wu. An approach for masuring the optimal fleet capacity: Evidence from the container shipping lines in Taiwan. International journal of production economics, Vol. 122, (2009): p.118-p.126.

DOI: 10.1016/j.ijpe.2008.12.020

[4] J. Verny, C. Grigentin. Container shipping on the northern sea route. International journal of production economics, Vol. 122, (2009): p.107-p.117.

DOI: 10.1016/j.ijpe.2009.03.018

[5] S. Wang, Q. Meng, Z. Sun. Container routing in liner shipping. Transportation Research E, Vol49(1), (2013): p.1—p.7.

[6] B D Liu, R Q Zhao, G Wang Uncertain programming with its application. Qinghua University Press. (2003).