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A Genetic Algorithm for Integrated Scheduling of Container Handing Systems at Container Terminals from a Low-Carbon Operations Perspective

Author

Listed:
  • Yan Zheng

    (College of Automobile and Traffic Engineering, Nanjing Forestry University, Nanjing 210037, China)

  • Meixian Xu

    (College of Automobile and Traffic Engineering, Nanjing Forestry University, Nanjing 210037, China)

  • Zhaohu Wang

    (School of Marketing and Logistics Management, Nanjing University of Finance and Economics, Nanjing 210046, China)

  • Yujie Xiao

    (Business School, Nanjing University, Nanjing 210093, China)

Abstract

At container terminals, quay cranes, yard trucks, and yard cranes are mainly used to transfer containers. Driven by the demand for a green and low-carbon economy, an integrated scheduling problem considering three types of handling equipment of container handling systems is studied. As the task of transferring each container is completed by the three handling equipment sequentially, the optimal solution may not be found by only studying one type of equipment separately from a green operations perspective. The inter-dependency of different equipment should be considered to guarantee the overall performance of container handling systems with low-carbon operations so as to reduce energy consumption. In this paper, this integrated problem is formulated as a mixed integer linear programming (MILP). Since the MILP cannot be applied to solve large-sized practical problems, a genetic algorithm (GA) is developed. In the proposed GA, a three-dimension chromosome representation is proposed, which integrates the coordination of three handling equipment. A new mechanism including three pairs of crossover and mutation is used in parallel in GA with the aim of enhancing the efficiency of searching for good solutions. Each pair of crossover and mutation is specific to one dimension of a solution. Moreover, a novel heuristic mutation is developed to diversify solutions. The computational results indicate that the developed solution method for the integrated scheduling problem is promising and the heuristic mutation can highly improve the solution quality.

Suggested Citation

  • Yan Zheng & Meixian Xu & Zhaohu Wang & Yujie Xiao, 2023. "A Genetic Algorithm for Integrated Scheduling of Container Handing Systems at Container Terminals from a Low-Carbon Operations Perspective," Sustainability, MDPI, vol. 15(7), pages 1-21, March.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:7:p:6035-:d:1112232
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    References listed on IDEAS

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    1. Carlo, Héctor J. & Vis, Iris F.A. & Roodbergen, Kees Jan, 2014. "Storage yard operations in container terminals: Literature overview, trends, and research directions," European Journal of Operational Research, Elsevier, vol. 235(2), pages 412-430.
    2. Bierwirth, Christian & Meisel, Frank, 2010. "A survey of berth allocation and quay crane scheduling problems in container terminals," European Journal of Operational Research, Elsevier, vol. 202(3), pages 615-627, May.
    3. Rodrigues, Filipe & Agra, Agostinho, 2022. "Berth allocation and quay crane assignment/scheduling problem under uncertainty: A survey," European Journal of Operational Research, Elsevier, vol. 303(2), pages 501-524.
    4. Carlo, Héctor J. & Vis, Iris F.A. & Roodbergen, Kees Jan, 2014. "Transport operations in container terminals: Literature overview, trends, research directions and classification scheme," European Journal of Operational Research, Elsevier, vol. 236(1), pages 1-13.
    5. He, Junliang & Chang, Daofang & Mi, Weijian & Yan, Wei, 2010. "A hybrid parallel genetic algorithm for yard crane scheduling," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 46(1), pages 136-155, January.
    6. Du, Shaofu & Wang, Lei & Hu, Li & Zhu, Yangguang, 2019. "Platform-led green advertising: Promote the best or promote by performance," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 128(C), pages 115-131.
    7. Chen, Lu & Bostel, Nathalie & Dejax, Pierre & Cai, Jianguo & Xi, Lifeng, 2007. "A tabu search algorithm for the integrated scheduling problem of container handling systems in a maritime terminal," European Journal of Operational Research, Elsevier, vol. 181(1), pages 40-58, August.
    8. Henry Lau & Ying Zhao, 2008. "Integrated scheduling of handling equipment at automated container terminals," Annals of Operations Research, Springer, vol. 159(1), pages 373-394, March.
    9. Tang, Wenzhi & Du, Shaofu & Hu, Li & Wang, Bill & Zhu, Yangguang, 2022. "The effects of leadership in Clean Development Mechanism low-carbon operations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 158(C).
    10. Lau, Henry Y.K. & Zhao, Ying, 2008. "Integrated scheduling of handling equipment at automated container terminals," International Journal of Production Economics, Elsevier, vol. 112(2), pages 665-682, April.
    11. Kaveshgar, Narges & Huynh, Nathan, 2015. "Integrated quay crane and yard truck scheduling for unloading inbound containers," International Journal of Production Economics, Elsevier, vol. 159(C), pages 168-177.
    12. Yong Wu & Wenkai Li & Matthew E. H. Petering & Mark Goh & Robert de Souza, 2015. "Scheduling Multiple Yard Cranes with Crane Interference and Safety Distance Requirement," Transportation Science, INFORMS, vol. 49(4), pages 990-1005, November.
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