Journal of East China Normal University(Natural Sc

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Multi-objective mixed integer programming model for pairing scheduling of intelligent and autonomous vehicle

BAO Xiao-qiong[1], HU Zhi-hua[1], GAO Chao-feng[1], LUO Xun-jie[2]   

  1. 1. Logistics Research Center, Shanghai Maritime University, Shanghai 201306, China; 2. Shanghai International Port (Group), Shanghai 200137, China
  • Received:2015-09-02 Online:2016-07-25 Published:2016-09-29


In order to improve the efficiency of handing operation of the containers of multiple sizes at automated container terminal,the problem of IAV (Intelligent and Autonomous Vehicle) pairing and coordinating to complete the task was studied. Multiobjective mixed integer programming model was formulated for facilitating location problem. The model aimed at minimizing makespan time,empty time and maximizing idle time. Experiments was designed to study the impact of parameter change on the characteristics of the model. Pareto analysis was carried out to verify the feasibility and effectiveness of the model, and provided automated container terminal with IAV pairing scheduling method for reference.

Key words: automated container terminal, intelligent and autonomous vehicle, pairing scheduling, multi-objective mixed integer programming model