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Optimal space for storage yard considering yard inventory forecasts and terminal performance

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  • Martin Alcalde, Enrique
  • Kim, Kap Hwan
  • Marchán, Sergi Saurí

Abstract

This paper presents a method for forecasting the yard inventory of container terminals over an extended period, and addresses an integrated yard planning problem for determining the optimal storage space utilization by considering the yard congestion effect on terminal performance. A formulation based on random variables and probabilistic functions was developed, which allows prediction of the storage space requirement without requiring fully-integrated simulation models. Then, an integrated cost objective function was defined. Numerical experiments were performed to illustrate how the forecasting model works and to support decision-making on yard planning and design for both inbound and outbound/transshipment areas.

Suggested Citation

  • Martin Alcalde, Enrique & Kim, Kap Hwan & Marchán, Sergi Saurí, 2015. "Optimal space for storage yard considering yard inventory forecasts and terminal performance," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 82(C), pages 101-128.
    • Handle: RePEc:eee:transe:v:82:y:2015:i:c:p:101-128
    DOI: 10.1016/j.tre.2015.08.003
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    References listed on IDEAS

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    1. Lim, Andrew & Xu, Zhou, 2006. "A critical-shaking neighborhood search for the yard allocation problem," European Journal of Operational Research, Elsevier, vol. 174(2), pages 1247-1259, October.
    2. Lee, Byung Kwon & Kim, Kap Hwan, 2010. "Comparison and evaluation of various cycle-time models for yard cranes in container terminals," International Journal of Production Economics, Elsevier, vol. 126(2), pages 350-360, August.
    3. 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.
    4. Zhang, Chuqian & Liu, Jiyin & Wan, Yat-wah & Murty, Katta G. & Linn, Richard J., 2003. "Storage space allocation in container terminals," Transportation Research Part B: Methodological, Elsevier, vol. 37(10), pages 883-903, December.
    5. Taleb-Ibrahimi, Mounira & de Castilho, Bernardo & Daganzo, Carlos F., 1993. "Storage space vs handling work in container terminals," Transportation Research Part B: Methodological, Elsevier, vol. 27(1), pages 13-32, February.
    6. 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.
    7. Zhen, Lu & Lee, Loo Hay & Chew, Ek Peng, 2011. "A decision model for berth allocation under uncertainty," European Journal of Operational Research, Elsevier, vol. 212(1), pages 54-68, July.
    8. Han, Xiao-le & Lu, Zhi-qiang & Xi, Li-feng, 2010. "A proactive approach for simultaneous berth and quay crane scheduling problem with stochastic arrival and handling time," European Journal of Operational Research, Elsevier, vol. 207(3), pages 1327-1340, December.
    9. Lee, Byung Kwon & Kim, Kap Hwan, 2010. "Optimizing the block size in container yards," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 46(1), pages 120-135, January.
    10. Zhen, Lu, 2014. "Container yard template planning under uncertain maritime market," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 69(C), pages 199-217.
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    Cited by:

    1. Kap Hwan Kim & Youn Ju Woo & Jae Gwan Kim, 2021. "Space reservation and remarshalling operations for outbound containers in marine terminals," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 23(1), pages 154-178, March.
    2. Youn Ju Woo & Jang-Ho Song & Kap Hwan Kim, 2016. "Pricing storage of outbound containers in container terminals," Flexible Services and Manufacturing Journal, Springer, vol. 28(4), pages 644-668, December.
    3. Dafnomilis, I. & Duinkerken, M.B. & Junginger, M. & Lodewijks, G. & Schott, D.L., 2018. "Optimal equipment deployment for biomass terminal operations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 115(C), pages 147-163.
    4. Amir Gharehgozli & Nima Zaerpour & Rene Koster, 2020. "Container terminal layout design: transition and future," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 22(4), pages 610-639, December.
    5. Basallo-Triana, Mario José & Bravo-Bastidas, Juan José & Vidal-Holguín, Carlos Julio, 2022. "A rail-road transshipment yard picture," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 159(C).
    6. Nanxi Wang & Daofang Chang & Xiaowei Shi & Jun Yuan & Yinping Gao, 2019. "Analysis and Design of Typical Automated Container Terminals Layout Considering Carbon Emissions," Sustainability, MDPI, vol. 11(10), pages 1-40, May.
    7. Kap Hwan Kim & Youn Ju Woo & Jae Gwan Kim, 0. "Space reservation and remarshalling operations for outbound containers in marine terminals," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 0, pages 1-25.

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