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AS/RS based yard and yard planning

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Abstract

In this paper, we apply the split-platform automated storage/retrieval systems (SP-AS/RSs) (Hu et al., 2005) to store containers in the yard to improve the yard performance and to increase the utilization of the yard space. The layout of an SP-AS/RS based yard is described in detail. To achieve an efficient operation, we present a novel yard space allocation policy called the ‘second-carrier-based allocation policy’, which can help to alleviate the out-of-sequence problem of containers and the congestion of vehicles at the AS/RS racks. Different allocation policies are compared by an integrated container terminal simulation system. The simulation results show that the second-carrier-based policy is very efficient and has the potential to offer high terminal performance.

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References

  • Chen, T., 1999. Yard operations in the container terminal—unproductive moves. Marit. Policy Manag., 26(1):27–38. [doi:10.1080/030888399287041]

    Article  Google Scholar 

  • Chung, Y.G., Randhawa, S.U., Mcdowell, E.D., 1988. A simulation analysis for a transtainer-based container handling facility. Comput. Ind. Eng., 14(2):113–125. [doi:10.1016/0360-8352(88)90020-4]

    Article  Google Scholar 

  • de Castilho, B., Daganzo, C.F., 1993. Handling strategies for import containers at marine terminal. Transp. Res. Part B: Methodol., 27(2):151–166. [doi:10.1016/0191-2615(93)90005-U]

    Article  Google Scholar 

  • Fu, Z., Li, Y., Lim, A., Rodrigues, B., 2007. Port space allocation with a time dimension. J. Operat. Res. Soc., 58(6):797–807. [doi:10.1057/palgrave.jors.2602192]

    Article  MATH  Google Scholar 

  • Han, Y.B., Lee, L.H., Chew, E.P., Tan, K.C., 2008. A yard storage strategy for minimizing traffic congestion in a marine container transshipment hub. OR Spectr. [online] [doi:10.1007/s00291-008-0127-6]

  • Ho, H.F., Chen, R.J., 2006. Design and Simulation of a Conceptual Automated Yard Using New Combination System. Proc. Int. Joint Conf. SICE-ICASE, South Korea, p.375–380. [doi:10.1109/SICE.2006.315793]

  • Hu, Y.H., Huang, S.Y., Chen, C.Y., Hsu, W.J., Toh, A.C., Loh, C.K., Song, T.C., 2005. Travel time analysis of a new Automated Storage and Retrieval System. Comput. Oper. Res., 32(6):1515–1544. [doi:10.1016/j.cor.2003.11.020]

    Article  MATH  Google Scholar 

  • Ioannou, P.A., Kosmatopoulos, E.B., Jula, H., Collinge, A., Liu, C.I., Asef-Vaziri, A., Dougherty, E.Jr., 2002. Cargo Handling Technologies. Technical Report. Available at http://www.usc.edu/dept/ee/catt/2002/jula/Marine/FinalReport_CCDoTT_97.pdf

  • Kim, K.H., 1997. Evaluation of the number of rehandles in container yards. Comput. Ind. Eng., 32(4):701–711. [doi:10.1016/S0360-8352(97)00024-7]

    Article  Google Scholar 

  • Kim, K.H., Kim, H.B., 1999. Segregating space allocation models for containers inventories in port container terminals. Int. J. Prod. Econ., 59(1–3):415–423. [doi:10.1016/S0925-5273(98)00028-0]

    Google Scholar 

  • Kim, K.H., Park, K.T., 2003. A note on a dynamic space-allocation method for outbound containers. Eur. J. Operat. Res., 148(1):92–101. [doi:10.1016/S0377-2217(02)00333-8]

    Article  MATH  Google Scholar 

  • Kim, K.H., Park, K.T., Ryu, K.R., 2000. Deriving decision rules to locate export containers in container yards. Eur. J. Operat. Res., 124(1):89–101. [doi:10.1016/S0377-2217(99)00116-2]

    Article  MATH  Google Scholar 

  • Liu, C.I., Jula, H., Ioannou, P.A., 2002. Design, simulation and evaluation of automated container terminals. IEEE Trans. on Intell. Transp. Syst., 3(1):12–26. [doi:10.1109/6979.994792]

    Article  Google Scholar 

  • McDowell, E., Cho, D., Martin, G., West, T., 1985. A Study of Maritime Container Handling. Technical Report No. 1985-003. Sea Grant College Program, Oregon State University, p.1–10.

  • Sarker, B.R., Babu, P.S., 1995. Travel time models in automated storage/retrieval systems: a critical review. Int. J. Prod. Econ., 40(2–3):173–184. [doi:10.1016/0925-5273(95)00075-2]

    Article  Google Scholar 

  • Taleb-Ibrahimi, M., de Castilho, B., Daganzo, C.F., 1993. Storage space vs. handling work in container terminals. Transp. Res. Part B: Methodol., 27(1):13–32. [doi:10.1016/0191-2615(93)90009-Y]

    Article  Google Scholar 

  • van den Berg, J.P., Gademann, A.J.R.M., 2000. Simulation study of an automated storage/retrieval system. Int. J. Prod. Res., 38(6):1339–1356. [doi:10.1080/002075400188889]

    Article  MATH  Google Scholar 

  • Watanabe, I., 1991. Characteristics and analysis method of efficiencies of container terminal—an approach to the optimal loading/unloading method. Container Age, 3:36–47.

    Google Scholar 

  • Zhang, C.Q., Liu, J.Y., Wan, Y.W., Murty, K.G., Linn, R.J., 2003. Storage space allocation in container terminals. Transp. Res. Part B: Methodol., 37(10):883–903. [doi:10.1016/S0191-2615(02)00089-9]

    Article  Google Scholar 

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Correspondence to Ya-hong Hu.

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Project supported by the Agency for Science, Technology and Research, the Maritime and Port Authority, and Nanyang Technological University, Singapore

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Hu, Yh., Zhu, Zd. & Hsu, Wj. AS/RS based yard and yard planning. J. Zhejiang Univ. Sci. A 9, 1083–1089 (2008). https://doi.org/10.1631/jzus.A071522

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  • DOI: https://doi.org/10.1631/jzus.A071522

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