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Optimal Stack Layout in a Sea Container Terminal with Automated Lifting Vehicles

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  • Roy, D.
  • Gupta, A.
  • Parhi, S.
  • de Koster, M.B.M.

Abstract

Container terminal performance is largely determined by its design decisions, which include the number and type of quay cranes (QCs), stack cranes (SCs), transport vehicles, vehicle travel path, and stack layout. The terminal design process is complex because it is affected by factors such as topological constraints, stochastic interactions among the quayside, vehicle transport and stackside operations. Further, the orientation of the stack layout (parallel or perpendicular to the quayside) plays an important role in the throughput time performance of the terminals. Previous studies in this area typically use deterministic optimization or probabilistic travel time models to analyze the effect of stack layout on terminal throughput times, and ignore the stochastic interactions among the resources. It is unclear if stochastic interactions have an impact on the optimal stack layout. In this research, we capture the stochasticity with an integrated queuing network modeling approach to analyze the performance of container terminals with parallel stack layout using automated lifting vehicles (ALVs). Using this model, we investigate 1008 parallel stack layout configurations in terms of throughput times and determine the optimal stack layout configuration. We also find that, assuming an identical width of the internal transport area, container terminals with parallel stack layout perform better (from 4% - 12% in terms of container throughput times) than terminals with a perpendicular stack layout.

Suggested Citation

  • Roy, D. & Gupta, A. & Parhi, S. & de Koster, M.B.M., 2014. "Optimal Stack Layout in a Sea Container Terminal with Automated Lifting Vehicles," ERIM Report Series Research in Management ERS-2014-012-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.
  • Handle: RePEc:ems:eureri:76030
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    References listed on IDEAS

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    1. Iris F. A. Vis & Kees Jan Roodbergen, 2009. "Scheduling of Container Storage and Retrieval," Operations Research, INFORMS, vol. 57(2), pages 456-467, April.
    2. Bart W Wiegmans & Barry Ubbels & Piet Rietveld & Peter Nijkamp, 2002. "Investments in Container Terminals: Public Private Partnerships in Europe," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 4(1), pages 1-20, March.
    3. Wiegmans, Bart W. & Ubbels, B. & Rietveld, P., 2002. "Investments in container terminals: public private partnerships," Serie Research Memoranda 0003, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
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    Cited by:

    1. Nima Zaerpour & Amir Gharehgozli & René De Koster, 2019. "Vertical Expansion: A Solution for Future Container Terminals," Transportation Science, INFORMS, vol. 53(5), pages 1235-1251, September.
    2. Michael F. Gorman & John-Paul Clarke & Amir Hossein Gharehgozli & Michael Hewitt & René de Koster & Debjit Roy, 2014. "State of the Practice: A Review of the Application of OR/MS in Freight Transportation," Interfaces, INFORMS, vol. 44(6), pages 535-554, December.

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