A review of container terminal simulation models

References

• Lawrence , P . 1973 . A computer simulation model for port planning . International Journal of Physical Distribution , 4 ( 1 ) : 26 – 39 .
   Google Scholar
• Borovits , I and Ein-dor , P . 1975 . Computer simulation of a seaport container terminal . Simulation , 25 ( 2 ) : 141 – 144 .
   Google Scholar
• Rohrer, M. W., 2000, Seeing is believing: The importance of visualization in manufacturing simulation. In: Proceedings of the 32nd Conference on Winter Simulation, December 10–13, Society for Computer Simulation International. Orlando, FL
   Google Scholar
• Rubinstein , RY . 1981 . Simulation and the Monte Carlo Method, Wiley series in probability and mathematical statistics , New York : Wiley .
   Google Scholar
• Bruzzone, A. G., Giribone, P. and Revetria, R., 1999, Operative requirements and advances for the new generation simulators in multimodal container terminals. In: Proceedings of the 31st Conference on Winter Simulation: Simulation – A Bridge to the Future, Vol. 2., December 5–8 Phoenix, AZ, ACM, pp. 1243–1252
   Google Scholar
• Veeke, H. and Ottjes, J. A., 2000, TOMAS: Tool for object-oriented modelling and simulation. In: Business and Industry Simulation Symposium, April, Washington, DC
   Google Scholar
• Duinkerken, M. B., Ottjes, J. A. and Lodewijks, G., 2002, The application of distributed simulation in TOMAS: Redesigning a complex transportation model. In: 2002 Winter Simulation Conference, December 8–11, Manchester Grand Hyatt San Diego. San Diego, CA
   Google Scholar
• Lechler, T. and Page, B. 1999. DESMO-J: An object oriented discrete simulation framework in Java. In: 11th European Simulation Symposium, October 26–28, Castle, Friedrich-Alexander University
   Google Scholar
• ISL. SCUSY – simulation of container unit handling system. 2009 [11 January 2009]. Available from: http://www.isl.org/products_services/scusy/index.php
   Google Scholar
• Saanen, Y. 2005. Using emulation to improve the performance of your TOS. In: Automation in Port Operations, September 26–27, Antwerp
   Google Scholar
• Saanen, Y. Container terminal simulation software improves operating efficiency. Freight International 2007 [3 December 2008]. Available from: http://www.freight-int.com/categories/container-terminal-operations/playground-for-container-terminal-operations.asp
   Google Scholar
• Angeloudis, P. and Bell, M., 2010, Stack operation uncertainty in automated container terminals: Effects, challenges and control techniques. In: IAME, July 7–9, Lisbon, Portugal
   Google Scholar
• Angeloudis , P and Bell , MGH . 2009 . An uncertainty-aware AGV assignment algorithm for automated container terminals . Transportation Research Part E: Logistics and Transportation Review , 46 ( 3 ) : 354 – 366 .
   Web of Science ®Google Scholar
• Valentin, E. C. and Verbraeck, A., 2007, Domain specific model constructs in commercial simulation environments. In: Proceedings of the 2007 Winter Simulation Conference, December 9–12, Washington, DC
   Google Scholar
• Nordgren, W. B., 2002, Flexsim: Flexsim simulation environment. In: Proceedings of the 34th Conference on Winter Simulation: Exploring New Frontiers: Winter Simulation Conference, December 8–11, San Diego, CA, pp. 250–252
   Google Scholar
• Saanen , Y . 2002 . “ The application of advanced simulations for the engineering of logistics control systems ” . In Building Blocks for Effective Telematics Application Developement and Evaluation , Edited by: Verbraeck , A. and Dahanayake , A. 179 – 192 . Delft : Delft University of Technology .
   Google Scholar
• Boer, C. A. and Saanen, Y., 2008, Controls: Emulation to improve the performance of container terminals. In: Proceedings of the 40th Conference on Winter Simulation. Winter Simulation Conference, December 7–10, Miami, FL
   Google Scholar
• ISL. VITO – virtual terminal optimisation. 2010 [02 April 2010]. Available from: http://www.isl.org/products_services/vito/index.php?lang=en
   Google Scholar
• TOTAL SOFT BANK. O-cps. 2010 [02 April 2010]. Available from: http://www.tsb.co.kr/RBS/Fn/FreeForm/View.php?RBIdx=Ver1_44
   Google Scholar
• Khoshnevis, B. and Asef-vaziri, A. 3d virtual and physical simulation of automated container terminal and analysis of impact on in land transportation. 2000 [5 August 2007]. Available from: http://www.metrans.org/Research/Final Report/99-14 Final.pdf
   Google Scholar
• Duinkerken, M. B., Ottjes, J. A. and Lodewijks, G., 2006, Comparison of routing strategies for AGV systems using simulation. In: 2006 Winter Simulation Conference, December 3–6, Monterey, CA
   Google Scholar
• Ottjes, J. A., Hengst, S. and Tutuarima, W. H., 1994, A simulation model of a sailing container terminal service in the port of Rotterdam. In: Proceedings of the European Conference on Modelling and Simulation ESM-94, June 1–3, Barcelona
   Google Scholar
• Ottjes, J. A., Duinkerken, M. B., Evers, J. J. M., Dekker, R., 1996, Robotised inter terminal transport of containers. In: Proceedings 8th European Simulation Symposium, October 24–26, Genua
   Google Scholar
• Ottjes , JA . 2006 . Simulation of a multiterminal system for container handling . OR Spectrum , 28 ( 4 ) : 447
   Web of Science ®Google Scholar
• Veenstra , AW and Lang , N . 2004 . Economic analysis of a container terminal simulation . International Journal of Logistics Research and Applications: A Leading Journal of Supply Chain Management , 7 ( 3 ) : 263 – 279 .
   Google Scholar
• Hartmann , S . 2004 . Generating scenarios for simulation and optimization of container terminal logistics . OR Spectrum , 26 : 171 – 192 .
   Web of Science ®Google Scholar
• Briskorn, D. and Hartmann, S., 2006, Simulating dispatching strategies for automated container terminals. In: Operations Research Proceedings 2005, September 7–9, Bremen, pp. 97–102
   Google Scholar
• Briskorn , D , Drexl , A and Hartmann , S . 2006 . Inventory-based dispatching of automated guided vehicles on container terminals . OR Spectrum , 28 ( 4 ) : 611 – 630 .
   Web of Science ®Google Scholar
• Yun , WY and Choi , YS . 1999 . A simulation model for container-terminal operation analysis using an object-oriented approach . International Journal of Production Economics , 59 ( 1–3 ) : 221 – 230 .
   Web of Science ®Google Scholar
• Nam , K-C , Kwak , K-S and Yu , M-S . 2002 . Simulation study of container terminal performance . Journal of Waterway, Port, Coastal, and Ocean Engineering , 128 ( 3 ) : 126 – 132 .
   Web of Science ®Google Scholar
• Lee , T-W , Park , N-K and Lee , D-W . 2003 . A simulation study for the logistics planning of a container terminal in view of scm . Maritime Policy and Management , 30 ( 3 ) : 243 – 254 .
   Google Scholar
• Legato , P and Mazza , RM . 2001 . Berth planning and resources optimisation at a container terminal via discrete event simulation . European Journal of Operational Research , 133 ( 3 ) : 537 – 547 .
   Web of Science ®Google Scholar
• Parola , F and Sciomachen , A . 2005 . Intermodal container flows in a port system network: Analysis of possible growths via simulation models . International Journal of Production Economics , 97 ( 1 ) : 75 – 88 .
   Web of Science ®Google Scholar
• Gambardella , LM , Rizzoli , AE and Zaffalon , M . 1998 . Simulation and planning of an intermodal container terminal . Simulation , 71 ( 2 ) : 107 – 116 .
   Google Scholar
• Rizzoli , AE , Fornara , N and Gambardella , LM . 2002 . A simulation tool for combined rail/road transport in intermodal terminals . Mathematics and Computers in Simulation , 59 ( 1 ) : 57 – 71 .
   Web of Science ®Google Scholar
• Alessandri , A , Sacone , S and Siri , S . 2007 . Modelling and optimal receding-horizon control of maritime container terminals . Journal of Mathematical Modelling and Algorithms , 6 ( 1 ) : 109 – 133 .
   Google Scholar
• Chung , Y-G , Randhawa , SU and McDowell , ED . 1988 . A simulation analysis for a transtainer-based container handling facility . Computers and Industrial Engineering , 14 ( 2 ) : 113 – 125 .
   Web of Science ®Google Scholar
• Bielli , M , Boulmakoul , A and Rida , M . 2006 . Object oriented model for container terminal distributed simulation . European Journal of Operational Research , 175 ( 3 ) : 1731 – 1751 .
   Web of Science ®Google Scholar
• Merkuryev, Y., Kamperman, F., Visipkov, V. and Smits, A., 2000, Arena-based simulation of logistics processes at the Baltic container terminal. In: 14th European Simulation Multiconference on Simulation and Modelling: Enablers for a Better Quality of Life, May 23-26, Ghent, Belgium
   Google Scholar
• Merkuryev , Y , Tolujew , J , Blümel , E , Novitsky , L , Ginters , E , Viktorova , E , Merkuryeva , G and Pronins , J . 1998 . A modelling and simulation methodology for managing the Riga harbour container terminal . Simulation , 71 ( 2 ) : 84 – 95 .
   Google Scholar
• Merkuryev , G . 2000 . Computer simulation and metamodelling of logistics processes at a container terminal . Studies in Informatics and Control , 9 ( 1 ) : 53 – 59 .
   Google Scholar
• Cortés , P , Muñuzuri , J , Ibáñez , JN and Guadix , J . 2007 . Simulation of freight traffic in the Seville inland port . Simulation Modelling Practice and Theory , 15 ( 3 ) : 256 – 271 .
   Web of Science ®Google Scholar
• Yan, W., 2006, Container terminal operation emulation system and application in optimizing of terminal plane layout scheme. In: 25th Chinese Control Conference, August 7–10, Harbin
   Google Scholar
• Kia , M , Shayan , E and Ghotb , F . 2002 . Investigation of port capacity under a new approach by computer simulation . Computers and Industrial Engineering , 42 ( 2–4 ) : 533 – 540 .
   Web of Science ®Google Scholar
• Shabayek , AA and Yeung , WW . 2002 . A simulation model for the Kwai Chung container terminals in Hong Kong . European Journal of Operational Research , 140 ( 1 ) : 1 – 11 .
   Web of Science ®Google Scholar
• Demirci , E . 2003 . Simulation modelling and analysis of a port investment . Simulation , 79 ( 2 ) : 94 – 105 .
   Google Scholar
• Ballis , A and Abacoumkin , C . 1996 . A container terminal simulation model with animation capabilities . Journal of Advanced Transportation , 30 ( 1 ) : 37 – 57 .
   Web of Science ®Google Scholar
• Soriguera , F , Espinet , D and Robuste , F . 2006 . A simulation model for straddle carrier operational assesment in a marine container terminal . Journal of Maritime Research , 3 ( 2 ) : 19 – 34 .
   Google Scholar
• Sgouridis , SP , Makris , D and Angelides , DC . 2003 . Simulation analysis for midterm yard planning in container terminal . Journal of Waterway, Port, Coastal, and Ocean Engineering , 129 ( 4 ) : 178 – 187 .
   Web of Science ®Google Scholar
• Grunow , M , Günther , H-O and Lehmann , M . 2004 . Dispatching multi-load AGVs in highly automated seaport container terminals . OR Spectrum , 26 ( 2 ) : 211 – 35 .
   Web of Science ®Google Scholar
• Grunow, M., Günther, H.-O. and Lehmann, M., 2007, Strategies for dispatching AGVs at automated seaport container terminals. In: Container terminals and cargo systems (Berlin, Heidelberg: Springer), pp. 155–178
   Google Scholar
• Ha, B.-H., Park, E.-J. and Lee, C.-H. 2007. A simulation model with a low level of detail for container terminals and its applications. In: 2007 Winter Simulation Conference, December 9–12, Washington, DC
   Google Scholar
• Kim , KH , Won , SH , Lim , JK and Takahashi , T . 2004 . An architectural design of control software for automated container terminals . Computers and Industrial Engineering , 46 ( 4 ) : 741 – 754 .
   Web of Science ®Google Scholar
• Henesey, L., Aslam, K. and Khurum, M., 2006, Task coordination of automated guided vehicles in a container terminal. In: 5th International Conference on Computer Applications and Information Technology in the Maritime Industries, May 8–11, Leiden, Netherlands
   Google Scholar
• Persson, O. and Kosowski, P., 2006, Development and evaluation of dispatching strategies for the IPSI AGV system. In: Magisterprogram Programvaruteknik, Blekinge Institute of Technology
   Google Scholar
• Vis , IFA and Harika , I . 2004 . Comparison of vehicle types at an automated container terminal . OR Spectrum , 26 ( 1 ) : 117 – 143 .
   Web of Science ®Google Scholar
• Yang , C , Choi , Y and Ha , T . 2004 . Simulation-based performance evaluation of transport vehicles at automated container terminals . OR Spectrum , 26 : 149 – 170 .
   Web of Science ®Google Scholar
• Liu , CI , Jula , H and Ioannou , PA . 2002 . Design, simulation, and evaluation of automated container terminals . IEEE Transactions on Intelligent Transportation Systems , 3 ( 1 ) : 12 – 26 .
   Web of Science ®Google Scholar
• DRILLING SYSTEMS. Port cranes. 2010 [1 April 2010]. Available from: http://www.drillingsystems.com/products/Port_Cranes
   Google Scholar
• Lau , H , Chan , L and Wong , R . 2007 . A virtual container terminal simulator for the design of terminal operation . International Journal on Interactive Design and Manufacturing , 1 ( 2 ) : 107 – 113 .
   Google Scholar
• Henesey, L., 2004, A multi agent based simulator for managing a container terminal, In: 2nd European Workshop on Multi-Agent Systems, December 16–17, Barcelona, Spain
   Google Scholar
• Warmerdam, J., Knepflé, M., Bekebrede, G., Mayer, I. and Bidarra, R., 2007, The serious game simport: Overcoming technical hurdles in educational gaming. In: Proceedings of LG07 – Learning with Games Conference, September 24–26, Sophia Antipolis, France
   Google Scholar
• Warmerdam, J., Knepflé, M., Bidarra, R., Bekebrede, G. and Mayer, I., 2006, Simport: A multiplayer management game framework. In: Proceedings of 9th International Conference on Computer Games – CGAMES’06, November 22–24, Dublin, Ireland
   Google Scholar
• Bockstael-blok, W., Mayer, I. and Valentin, E., 2003, Supporting the design of an inland container terminal through visualization, simulation and gaming. In: Proceedings of the 36th Annual Hawaii International Conference on System Sciences (HICSS'03) – Track 1, Vol. 1, Washington, DC, IEEE Computer Society, p. 12.2
   Google Scholar
• Georgijevic , M , Bojanic , V and Bojanic , G . 2008 . “ Advantages and problems concerning application of simulations trough different levels of development processes ” . In Advances in Simulation for Production and Logistics Applications , Edited by: Rabe , M. 247 – 257 . Stuttgart : Fraunhofer IRB Verlag .
   Google Scholar