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Using a Hybrid Model on Joint Scheduling of Berths and Quay Cranes—From a Sustainable Perspective

Author

Listed:
  • Aijun Liu

    (Department of Management Engineering, School of Economics & Management, Xidian University, Xi’an 710071, China
    Guangdong Provincial Key Laboratory of Computer Integrated Manufacturing, Guangdong University of Technology, Guangzhou 510006, China)

  • Haiyang Liu

    (Department of Management Engineering, School of Economics & Management, Xidian University, Xi’an 710071, China)

  • Sang-Bing Tsai

    (College of Business Administration, Capital University of Economics and Business, Beijing 100070, China
    Zhongshan Institute, University of Electronic Science and Technology, Zhongshan 528400, China)

  • Hui Lu

    (Tianhua College, Shanghai Normal University, Shanghai 201815, China)

  • Xiao Zhang

    (Department of Management Engineering, School of Economics & Management, Xidian University, Xi’an 710071, China)

  • Jiangtao Wang

    (Zhongshan Institute, University of Electronic Science and Technology, Zhongshan 528400, China)

Abstract

In response to the problem of the unfair distribution of berths and quay cranes, as well as the optimization of the traffic path in port scheduling, a berth-crane joint scheduling model is proposed. Firstly, a ship is coded according to its geographical location and its arrival time in the form 0, 1. Then, the shortest port time, the minimum system cost, and the minimum unfairness are taken into account with the status quo of the port. Thus, a multi-objective joint scheduling model is established and solved by an improved NSGA-II algorithm. Finally, a practical example is given to verify the validity of the proposed method, the stable and the convergent of the proposed method are proved by many times computer simulations. The novelty of this paper is that we have taken psychological factors of fairness as well as social factors of sustainable development into consideration, and proposed an improved NSGA-II algorithm with random repair operator and self-adaptive operator to solve the multi-objective decision problem on joint scheduling of berths and quay crane.

Suggested Citation

  • Aijun Liu & Haiyang Liu & Sang-Bing Tsai & Hui Lu & Xiao Zhang & Jiangtao Wang, 2018. "Using a Hybrid Model on Joint Scheduling of Berths and Quay Cranes—From a Sustainable Perspective," Sustainability, MDPI, vol. 10(6), pages 1-15, June.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:6:p:1959-:d:151853
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    References listed on IDEAS

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