Modelling of the unloading problem in an automated container terminal

Jiabin Luo, Yue Wu

Research output: Chapter in Book/Published conference outputConference publication


Efficient scheduling of vehicles and allocating container storage locations are important in container terminal operations. This research investigates the integration of these two problems for the unloading process in an automated container terminal. The detailed schedule for each vehicle during the unloading process and the allocated storage location for each container are determined. A mixed-integer programming (MIP) is provided. A series of experiments are carried out: existing solver for small-sized problems and a genetic algorithm (GA) for large-sized problems. The solutions from GA are compared with the optimal solutions obtained from existing optimisation solver in small-sized problems. The results show that both the model and solution methods are efficient in solving the integrated optimisation problem.
Original languageEnglish
Title of host publicationProceeding of the 34th IASTED International Conference on Modelling, Identification and Control
Publication statusPublished - 2015
EventModelling, Identification and Control - Innsbruck, Austria
Duration: 16 Feb 201517 Feb 2015


ConferenceModelling, Identification and Control


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