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Optimization of Resource Allocation in Automated Container Terminals

Author

Listed:
  • Xiaoju Zhang

    (School of E-Economics and Logistics, Beijing Technology and Business University, Beijing 100048, China)

  • Huijuan Li

    (School of E-Economics and Logistics, Beijing Technology and Business University, Beijing 100048, China)

  • Meng Wu

    (School of Foreign Languages, Beijing Technology and Business University, Beijing 100048, China)

Abstract

Automated container terminals have been constructed to reduce emissions and labor cost. Resource allocation problems in automated container terminals have a critical effect on handling efficiency and cost. This paper addresses this problem with quay crane (QC) double cycling in automated container terminals. An optimization model is developed to obtain an optimal resource allocation schedule considering the operation cost, and the cost objective function proves to have convex behavior with optimal solutions. The performance of the operation system and its asymptotic behavior are derived with respect to different resource allocation schedules by formulating the operation processes. Finally, numerical experiments are conducted to verify the system’s performance and validity of the proposed model, and some insights are given about how to increase the terminal’s efficiency.

Suggested Citation

  • Xiaoju Zhang & Huijuan Li & Meng Wu, 2022. "Optimization of Resource Allocation in Automated Container Terminals," Sustainability, MDPI, vol. 14(24), pages 1-16, December.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:24:p:16869-:d:1005013
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    References listed on IDEAS

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    1. Anne V. Goodchild & Carlos F. Daganzo, 2006. "Double-Cycling Strategies for Container Ships and Their Effect on Ship Loading and Unloading Operations," Transportation Science, INFORMS, vol. 40(4), pages 473-483, November.
    2. Kang, Seungmo & Medina, Juan C. & Ouyang, Yanfeng, 2008. "Optimal operations of transportation fleet for unloading activities at container ports," Transportation Research Part B: Methodological, Elsevier, vol. 42(10), pages 970-984, December.
    3. Goodchild, A.V. & Daganzo, C.F., 2007. "Crane double cycling in container ports: Planning methods and evaluation," Transportation Research Part B: Methodological, Elsevier, vol. 41(8), pages 875-891, October.
    4. Roy, Debjit & Nigam, Shobhit & de Koster, René & Adan, Ivo & Resing, Jacques, 2019. "Robot-storage zone assignment strategies in mobile fulfillment systems," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 122(C), pages 119-142.
    5. Hu, Lu & Liu, Yang, 2016. "Joint design of parking capacities and fleet size for one-way station-based carsharing systems with road congestion constraints," Transportation Research Part B: Methodological, Elsevier, vol. 93(PA), pages 268-299.
    6. Ernest Koenigsberg & Richard C. Lam, 1976. "Cyclic Queue Models of Fleet Operations," Operations Research, INFORMS, vol. 24(3), pages 516-529, June.
    7. George, David K. & Xia, Cathy H., 2011. "Fleet-sizing and service availability for a vehicle rental system via closed queueing networks," European Journal of Operational Research, Elsevier, vol. 211(1), pages 198-207, May.
    8. Chung-Yee Lee & Ming Liu & Chengbin Chu, 2015. "Optimal Algorithm for the General Quay Crane Double-Cycling Problem," Transportation Science, INFORMS, vol. 49(4), pages 957-967, November.
    9. Roy, D. & de Koster, M.B.M., 2015. "Stochastic Modeling of Unloading and Loading Operations at a Container Terminal using Automated Lifting Vehicles," ERIM Report Series Research in Management ERS-2015-005-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    10. Petering, Matthew E.H., 2009. "Effect of block width and storage yard layout on marine container terminal performance," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 45(4), pages 591-610, July.
    11. J. George Shanthikumar & David D. Yao, 1988. "Second-Order Properties of the Throughput of a Closed Queueing Network," Mathematics of Operations Research, INFORMS, vol. 13(3), pages 524-534, August.
    12. William J. Gordon & Gordon F. Newell, 1967. "Closed Queuing Systems with Exponential Servers," Operations Research, INFORMS, vol. 15(2), pages 254-265, April.
    13. Zhang, Xiaoju & Zeng, Qingcheng & Sheu, Jiuh-Biing, 2019. "Modeling the productivity and stability of a terminal operation system with quay crane double cycling," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 122(C), pages 181-197.
    14. Debjit Roy & René De Koster & René Bekker, 2020. "Modeling and Design of Container Terminal Operations," Operations Research, INFORMS, vol. 68(3), pages 686-715, May.
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