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Design of empty container depot layouts using data and analytics

Author

Listed:
  • Erhan Karakaya

    (Purdue University)

  • Alice E. Smith

    (Auburn University)

  • Rosa G. González Ramírez

    (Universidad de Los Andes Chile)

  • Jimena Pascual

    (Pontificia Universidad Católica de Valparaíso)

Abstract

This paper presents an approach using a combination of data-driven and analytical models to design the layout of empty container depots where top-lifters (TLs) are used. A method to determine the optimum number of blocks along with the number of driving lanes is proposed where the size of the blocks is specified by the number of rows, tiers, and bays. For estimating the effects of the design variables on the TL cycle time, formulas to calculate the expected travel distance of these vehicles are derived based on geometry and a Markov chain model is used to obtain the times of retrieval and placement by the TLs using data gathered in an empirical study from a typical empty container yard. Together, the total cycle time (travel, retrieval, and placement) is then used as the objective function to evaluate alternative container yard layout options. Numerical examples from a case study are provided to illustrate the layout design procedure and show its effectiveness and pragmatism.

Suggested Citation

  • Erhan Karakaya & Alice E. Smith & Rosa G. González Ramírez & Jimena Pascual, 2023. "Design of empty container depot layouts using data and analytics," Flexible Services and Manufacturing Journal, Springer, vol. 35(1), pages 196-240, March.
    • Handle: RePEc:spr:flsman:v:35:y:2023:i:1:d:10.1007_s10696-022-09452-z
    DOI: 10.1007/s10696-022-09452-z
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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. 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.
    3. Feng, Yuanjun & Song, Dong-Ping & Li, Dong & Zeng, Qingcheng, 2020. "The stochastic container relocation problem with flexible service policies," Transportation Research Part B: Methodological, Elsevier, vol. 141(C), pages 116-163.
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    Cited by:

    1. Kjetil Fagerholt & Leonard Heilig & Eduardo Lalla-Ruiz & Frank Meisel & Shuaian Wang, 2023. "Data-driven optimization and analytics for maritime logistics," Flexible Services and Manufacturing Journal, Springer, vol. 35(1), pages 1-4, March.

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