Abstract
This chapter provides an introduction to maritime terminal configuration and operational problems. The structure of typical container terminals and associated decision problems is discussed. A case study of one of the largest container terminals, PSA Singapore Terminals, is given. A literature review on selected key problems in container terminals such as berth allocation, quay crane scheduling, transportation, yard crane scheduling, and the integration of decision problems is conducted.
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Bierwirth, C., F. Meisel. (2009) A fast heuristic for quay crane scheduling with interference constraints. Journal of Scheduling. 12(4): 345–360.
Bilge, U. and Tanchoco, J. M. A. (1997) AGV systems with multi-load carriers: basic issues and potential benefits. Journal of Manufacturing Systems. 16:159–174.
Bish, E.K. (2003) A multiple-crane-constrained scheduling problem in a container terminal. European Journal of Operational Research. 144(1): 83–107.
Böse, J. (2011) Handbook of Terminal Planning, New York : Springer.
Buhrkal, K., S. Zuglian, S. Ropke, J. Larsen, R. Lusby. (2011) Models for the discrete berth allocation problem: A computational comparison. Transportation Research Part E: Logistics and Transportation Review. 47(4): 461–473.
Credit Opinion (2014) PSA Corporation Limited, Moody’s Corporation, Moody’s Investors Service, Inc., Oct. 19, 2014.
Cao, J. X., Lee, D-Hg, Chen, J. H., Shi, Q. X. (2010) The integrated yard truck and yard crane scheduling problem: Benders’ decomposition-based methods, Transportation Research Part E: Logistics and Transportation Review. 46(3): 344–353.
Cao, Z., D. H. Lee, Q. Meng. (2008) Deployment strategies of double-rail-mounted gantry crane systems for loading outbound containers in container terminals. International Journal of Production Economics. 115(1): 221–228.
Chan, S. H. (2001) Dynamic AGV-container job deployment strategy. Master of Science, National University of Singapore.
Chang, D., Z. Jiang, W. Yan, J. He. (2010) Integrating berth allocation and quay crane assignments. Transportation Research Part E: Logistics and Transportation Review. 46(6): 975–990.
Chang, D., Z. Jiang, W. Yan, J. He. (2011). Developing a dynamic rolling-horizon decision strategy for yard crane scheduling. Advanced Engineering Informatics 25(3): 485–494.
Chen, L., Bostel, N., Dejax, P., Cai, J., & Xi, L. (2007) A tabu search algorithm for the integrated scheduling problem of container handling systems in a maritime terminal. European Journal of Operational Research. 181(1): 40–58.
Chen, L., A. Langevin. (2011) Multiple yard cranes scheduling for loading operations in a container terminal. Engineering Optimization 43(11): 1205–1221.
Chen, L.; Langevin, A. & Lu, Z. (2013) Integrated scheduling of crane handling and truck transportation in a maritime container terminal. European Journal of Operational Research, 225: 142–152.
Chen, J. H., Lee, D. H., Cao, J. X. (2012) A combinatorial benders’ cuts algorithm for the quayside operation problem at container terminals. Transportation Research Part E: Logistics and Transportation Review. 48(1): 266–275.
Cheng, Y. L. (2001) Simulation study of a dynamic AGV-container job deployment scheme. Master of science, National University of Singapore.
Dirk Steenken, Stefan Voß, Robert (2005) Container terminal operation and operations research - a classification and literature review, In: Günther, Hans-Otto, Kim, Kap Hwan, Container Terminals and Automated Transport Systems.
Dorndorf, U., F. Schneider. (2010) Scheduling automated triple cross-over stacking cranes in a container yard. OR Spectrum. 32(3): 617–632.
Du, Y., Q. Chen, X. Quan, L. Long, R. Y. K. Fung. (2011) Berth allocation considering fuel consumption and vessel emissions. Transportation Research Part E: Logistics and Transportation Review. 47(6): 1021–1037.
Evers, J. J. M. and Koppers, S. A. J. (1996) Automated guided vehicle traffic control at a container terminal. Transportation Research Part A. 30(1):21–34.
Factsheet (2014) PSA Singapore Terminals, http://www.internationalpsa.com/factsheet/pdf/Singapore.pdf. accessed Feb. 14, 2015.
Frank, M. (2009) Seaside Operations Planning in Container Terminals, Heidelberg: Physica-Verlag.
Gharehgozli, A. H., Roy, D., & de Koster, M.B.M. (2014a) Sea Container Terminals: New Technologies, OR models, and Emerging Research Areas (No. ERS-2014–009-LIS). ERIM report series research in management Erasmus Research Institute of Management. Retrieved from http://hdl.handle.net/1765/51656.
Gharehgozli, A. H., Yu, Yugang, Koster, R. d., Udding, J. T. (2014b) An exact method for scheduling a yard crane. European Journal of Operational Research. 235(2): 431–447.
Giallombardo, G., L. Moccia, M. Salani, I. Vacca. (2010) Modeling and solving the tactical berth allocation problem. Transportation Research Part B: Methodological. 44(2): 232–245.
Grunow, M., Gunther, H.-O., and Lehmann, M. (2004) Dispatching multi-load AGVs in highly automated seaport container terminals. OR Spectrum. 26: 211–235.
Guan Y., and Cheung, R. K. (2004) The berth allocation problem: models and solution methods, OR Spectrum. 26: 75–92.
Günther, H.-O., Kim, K. H. (2005) Logistics control issues of container terminals and automated transportation systems, In: Günther, H.-O., Kim, K. H., Container Terminals and Automated Transport Systems.
Guo, X., Huang. S. Y. (2012) Dynamic space and time partitioning for yard crane workload management in container terminals. Transportation Science. 46(1): 134–148.
Guo, X., Huang, S. Y., Hsu, W. J., and Low, M. Y. H. (2011) Dynamic yard crane dispatching in container terminals with predicted vehicle arrival information. Advanced Engineering Informatics. 25(3): 472–484.
Han, X. L., Z. Q. Lu, L. F. Xi. (2010) A proactive approach for simultaneous berth and quay crane scheduling problem with stochastic arrival and handling time. European Journal of Operational Research. 207(3): 1327–1340.
He, J., D. Chang, W. Mi, W. Yan. (2010) A hybrid parallel genetic algorithm for yard crane scheduling. Transportation Research Part E: Logistics and Transportation Review. 46(1): 136–155.
Hendriks, M., M. Laumanns, E. Lefeber, J. T. Udding. (2010) Robust cyclic berth planning of container vessels. OR Spectrum. 32: 501–517.
Hendriks, M. P. M., D. Armbruster, M. Laumanns, E. Lefeber, J. T. Udding. (2012) Strategic allocation of cyclically calling vessels for multi-terminal container operators. Flexible Services and Manufacturing Journal. 24:248–273.
Homayouni, S. M., Tang, S. H., Motlagh, O. (2014) A genetic algorithm for optimization of integrated scheduling of cranes, vehicles, and storage platforms at automated container terminals, Journal of Computational and Applied Mathematics. 270: 545–556.
Homayouni, S. M., Tang, S. H. (2013) Multi Objective Optimization of Coordinated Scheduling of Cranes and Vehicles at Container Terminals, Mathematical Problems in Engineering, Article ID 746781, 9 pages, http://dx.doi.org/10.1155/2013/746781.
Imai A., Nishimura E., Papadimitriou S. (2003) Berth allocation with service priority. Transportation Research-B. 37(5): 437–457.
Ioannou, P. A., Jula, H., Liu, C. I., Vukadinovic, K., Pourmohammadi, H., and Dougherty, E. (2001) Advanced material handling: automated guided vehicles in agile ports. Final Report prepared for Task 1.2.6.1 for the Center for Commercial Deployment of Transportation Technologies.
Kaveshgar, N., Huynh, N., and Rahimian, S. K. (2012) An efficient genetic algorithm for solving the quay crane scheduling problem. Expert Systems with Applications. 39(18): 13108–13117.
Kim, K. H. and Bae, J. W. (2004) A look-ahead dispatching method for automated guided vehicles in automated port container terminals. Transportation Science. 38:224–234.
Kim, K. H., Kang, J. S., Ryu, K. R. (2004) A beam search algorithm for the load sequencing of outbound containers in port container terminals. OR Spectrum. 26(1): 93–116.
Kim, K. H. and Park, Y. M. (2004) A crane scheduling method for port container terminals, European Journal of Operational Research. 156: 752–768.
Lau, H. & Zhao, Y. (2008) Integrated scheduling of handling equipment at automated container terminals, International journal of production economics. 112(2): 665–682.
Lee, D.-H., Cao, J. X., and Shi, Q. X. (2008a) Integrated Quay crane and yard truck schedule for inbound containers, Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management (IEEM ‘08), 1219–1223, December 2008.
Lee, D.-H., Wang, H. Q., and Miao, L. (2008b) Quay crane scheduling with handling priority in port container terminals. Engineering Optimization. 40(2): 179–189.
Lee, D.-H., Wang, H. Q., and Miao, L. (2008c) Quay crane scheduling with non-interference constraints in port container terminals. Transportation Research Part E: Logistics and Transportation Review. 44(1): 124–135.
Legato, P., Canonaco, P., Mazza, R. M. (2009) Yard Crane Management by Simulation and Optimisation. Maritime Economics & Logistics. 11(1):36–57.
Legato, P., Truno, R., Meisel. F. (2012) Modeling and solving rich quay crane scheduling problems. Computers & Operations Research. 39(9): 2063–2078.
Levitin, G. and Abezgaouz, R. (2003) Optimal routing of multiple-load AGV subject to LIFO loading constraints. Computers & Operations Research. 30:397–410.
Li, W., Y. Wu, M. E. H. Petering, M. Goh, R. de Souza. (2009) Discrete time model and algorithms for container yard crane scheduling. European Journal of Operational Research. 198(1):165–172.
Lim A (1998) The berth planning problem. Operations Research Letters. 22: 105–110.
Lim, A., Rodrigues, B., Xiao, F. and Zhu, Y. (2004) Crane scheduling with spatial constraints, Naval Research Logistics. 51: 386–406.
Lim, A., B. Rodrigues, X. Zhou. (2007) A m-parallel crane scheduling problem with a non-crossing constraint. Naval Research Logistics. 54(2): 115–127.
Linn, R., Liu, J.-y., Wan, Y.-w., Zhang, C., and Murty, K. G. (2003) Rubber tired gantry crane deployment for container yard operation. Computers & Industrial Engineering. 45(3): 429–442.
Linn, R. J., and Zhang, C.-Q. (2003) A heuristic for dynamic yard crane deployment in a container terminal. IIE Transactions. 35(2): 161–174.
Lu, Zhiqiang, Xiaole Han, Lifeng Xi, Alan L. Erera. (2012) A heuristic for the quay crane scheduling problem based on contiguous bay crane operations. Computers & Operations Research. 39(12): 2915–2928.
Meersmans, P. J. M. (2002) Optimization of Container Handling Systems, Tinbergen Institute Research Series, No. 271, ISBN 90–5170-591-3, http://repub.eur.nl/pub/1855/fewdis20020313164327.pdf.
Meisel, F. (2011) The quay crane scheduling problem with time windows. Naval Research Logistics. 58(7): 619–636.
Meisel, F., C. Bierwirth. (2013) A framework for integrated berth allocation and crane operations planning in seaport container terminals. Transportation Science. 47(2): 131–147.
Mihalis M. Golias, M. Boile, Sotirios Theofanis (2009) Berth scheduling by customer service differentiation: A multi-objective approach. Transportation Research Part E. 45: 878–892.
Moccia, L., Cordeau, J. F., Gaudioso, M. and Laporte, G. (2006) A branch-and-cut algorithm for the quay crane scheduling problem in a container terminal. Naval Research Logistics. 53: 45–59.
Ng, W. C. (2005) Crane scheduling in container yards with inter-crane interference. European Journal of Operational Research. 164(1): 64–78.
Ng, W. C., and Mak, K. L. (2005a) An effective heuristic for scheduling a yard crane to handle jobs with different ready times. Engineering Optimization. 37(8): 867–877.
Ng, W. C., and Mak, K. L. (2005b) Yard crane scheduling in port container terminals. Applied Mathematical Modelling. 29(3): 263–276.
Ng, W. C., and Mak, K. L. (2006) Quay crane scheduling in container terminals. Engineering Optimization. 38(6): 723–737.
Nishimura E, Imai A, Papadimitriou S. (2001) Berth allocation planning in the public berth system by genetic algorithms. European Journal of Operational Research. 131: 282–292.
Nguyen, V. D., Kim, K. H. (2009) A dispatching method for automated lifting vehicles in automated port container terminals. Computers & Industrial Engineering. 56(3): 1002–1020.
Nishimura, E., Imai, A., and Papadimitriou, S. (2005) Yard trailer routing at a maritime container terminal. Transportation Research Part E. 41:53–76.
Park, T., R. Choe, S. M. Ok, K. R. Ryu. (2010) Real-time scheduling for twin RMGs in an automated container yard. OR Spectrum. 32: 593–615.
Park Y-M, Kim K. H. (2003) A scheduling method for berth and quay cranes. OR Spectrum. 25: 1–23.
Petering, M. E. H. (2010) Development and simulation analysis of real-time, dual-load yard truck control systems for seaport container transshipment terminals. OR Spectrum. 32: 633–661.
Petering, M. E. H., Wu, Y., Li, W., M. Goh, R. de Souza (2009) Development and simulation analysis of real-time yard crane control systems for seaport container transshipment terminals. OR Spectrum. 31(4): 801–836.
Peterkofsky R .I., Daganzo C. F. (1990) A branch and bound solution method for the crane scheduling problem. Transportation Research-B. 24B: 159–172.
PSA International (2006) “EMMA MÆRSK” - WORLD’S LARGEST CONTAINERSHIP CALLS AT PSA SINGAPORE TERMINALS, http://www.internationalpsa.com/psanews/pdf/nr061002.pdf. accessed August 12, 2014.
PSA International (2015) PSA CONTAINER THROUGHPUT PERFORMANCE FOR 2014, 19 January 2015, https://www.globalpsa.com/wp-content/uploads/nr150119.pdf. accessed March 26, 2015.
Salisbury, M. (2013) The JOC Top 50 World Container Ports, http://www.joc.com/port-news/joc-top-50-world-container-ports_20130815.html. accessed August 12, 2014.
Sammarra, M., Cordeau, J. F., Laporte, G. and Monaco, M. F. (2007) A tabu search heuristic for the quay crane scheduling problem. Journal of Scheduling. 10: 327–336.
Sharif, O., N. Huynh. (2012) Yard crane scheduling at container terminals: A comparative study of centralized and decentralized approaches. Maritime & Economics Logistics. 14(2): 139–161.
Sinriech, D. and Kotlarski, J. (2002) A dynamic scheduling algorithm for a multiple-load multiple-carrier system. International Journal of Production Research. 40:1065–1080.
Stahlbock R, Voß S. (2008) Operations research at container terminals: a literature update. OR Spectrum. 30(1):1–52.
Stahlbock, R., S. Voß. (2010) Efficiency considerations for sequencing and scheduling of double-rail-mounted gantry cranes at maritime container terminals. International Journal of Shipping and Transport Logistics. 2: 95–123.
Steenken, D., Voß, S., and Stahlbock, R. (2004) Container terminal operation and operations research — a classification and literature review. OR Spectrum. 26(1):3–49.
Stromberg, J. (2015). The MSC Oscar just became the world's biggest container ship. http://www.vox.com/2015/1/8/7513317/container-ship-msc-oscar. accessed March 26, 2015.
Tavakkoli-Moghaddam, R., Makui, A., Salahi, S., Bazzazi, M., and Taheri, F. (2009) An efficient algorithm for solving a new mathematical model for a quay crane scheduling problem in container ports. Computers & Industrial Engineering. 56(1), 241–248.
Tierney, K., S. Voß, and Stahlbock, R. (2014) A mathematical model of inter-terminal transportation, European Journal of Operational Research. 235(2): 448–460.
Vacca I, Bierlaire M, Salani M (2007) Optimization at container terminals: Status, trends and perspectives. In: Proceedings of the Swiss Transport Research Conference (STRC), Monte Verit´a/Ascona, pp 1–21, http://www.strc.ch/conferences/2007/2007_vacca.pdf. accessed August 25, 2014.
van der Meer, R. (2000) Operational Control of Internal Transport. TRAIL thesis series nr. t2000/5.
Vis, I. F. A., Carlo. H. J. (2010) Sequencing two cooperating automated stacking cranes in a container terminal. Transportation Science. 44(2): 169–182.
Vis, I. F. A. and de Koster, R. (2003) Transshipment of containers at a container terminal: An overview. European Journal of Operational Research. 147:1–16.
Vis, I. F. A. and Harika, I. (2004) Comparison of vehicle types at an automated container terminal. OR Spectrum. 26:117–143.
Xu, D., C. L. Li, J. Y. T. Leung. (2012) Berth allocation with time-dependent physical limitations on vessels. European Journal of Operational Research. 216(1) 47–56.
Yan, W., Huang, Y., Chang, D., and He, J. (2011) An investigation into knowledge-based yard crane scheduling for container terminals. Advanced Engineering Informatics. 25(3): 462–471.
Yang, C. H., Choi, Y. S., and Ha, T. Y. (2004) Simulation-based performance evaluation of transport vehicles at automated container terminals. OR Spectrum. 26:149–170.
Yuan, S., Skinner, B.T., Huang, S.D., Liu, D.K., Dissanayake, G., Lau, H. (2011) A job grouping approach for planning container transfers at automated seaport container terminals. Advanced Engineering Informatics. 25(3): 413–426.
Zhang, L., Khammuang, K., and Wirth, A. (2008) On-line scheduling with non-crossing constraints. Operations Research Letters. 36(5): 579–583.
Zhu, Y., and Lim, A. (2006). Crane scheduling with non-crossing constraint. The Journal of the Operational Research Society. 57(12): 1464–1471.
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The authors would like to acknowledge the valuable suggestions and data provided by PSA Corporation Ltd., which have helped to improve this chapter.
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Li, W., Wu, Y., Goh, M. (2015). Maritime Terminal Operational Problems. In: Planning and Scheduling for Maritime Container Yards. Springer, Cham. https://doi.org/10.1007/978-3-319-17025-1_2
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