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Computational Management Science 
May 2012, Volume 9, Issue 2, pp 273–286 | Cite as

DCA for solving the scheduling of lifting vehicle in an automated port container terminal



The container was introduced as a universal carrier for various goods in the 1960s and soon became a standard worldwide transportation. The competitiveness of a container seaport is marked by different success factors, particularly the time in port for ships. Operational problems of container terminals is divided into several problems, such as assignment of vessels, loading/unloading and storage of the containers, quay cranes scheduling cite, planning yard cranes cite and assignment of storage containers cite. In this work, the study will focus on piloting yard trucks. Two different types of vehicles can be used, namely automated guided vehicles (AGVs) and lifting vehicles (LVs). An AGV receives a container from a quay crane and transports containers over fixed path. LVs are capable of lifting a container from the ground by itself. The model that we consider is formulated as a mixed integer programming problem, and the difficulty arises when the number of binary variables increases. There are a lot of algorithms designed for mixed integer programming problem such as Branch and Bound method, cutting plane algorithm, . . . By using an exact penalty technique we treat this problem as a DC program in the context of continuous optimization. Further, we combine the DCA with the classical Branch and Bound method for finding global solutions.


Automated lifting vehicle Container port terminal Programmation DC DCA Branch and Bound


90C26 90C27 90B06








Le, H.M., Yassine, A. & Moussi, R. Comput Manag Sci (2012) 9: 273. https://doi.org/10.1007/s10287-012-0140-8



