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A Container Ship Traffic Model for Simulation Studies Cover

References

  1. Beasley, J. (2018). OR-Library, http://people.brunel.ac.uk/~mastjjb/jeb/info.html.
  2. Bellsola Olba, X., Daamen, W., Vellinga, T. and Hoogendoorn, S.P. (2017). Network capacity estimation of vessel traffic: An approach for port planning, Journal of Waterway, Port, Coastal, and Ocean Engineering 143(5): 04017019.10.1061/(ASCE)WW.1943-5460.0000400
  3. Bellsola Olba, X., Daamen, W., Vellinga, T. and Hoogendoorn, S.P. (2018). State-of-the-art of port simulation models for risk and capacity assessment based on the vessel navigational behaviour through the nautical infrastructure, Journal of Traffic and Transportation Engineering (English Edition) 5(5): 335–347.10.1016/j.jtte.2018.03.003
  4. Benaglia, T., Chauveau, D., Hunter, D.R. and Young, D.S. (2009). Mixtools: An R package for analyzing mixture models, Journal of Statistical Software 32(6): 1–29.10.18637/jss.v032.i06
  5. Bierwirth, C. and Meisel, F. (2010). A survey of berth allocation and quay crane scheduling problems in container terminals, European Journal of Operational Research 202(3): 615–627.10.1016/j.ejor.2009.05.031
  6. Bierwirth, C. and Meisel, F. (2015). A follow-up survey of berth allocation and quay crane scheduling problems in container terminals, European Journal of Operational Research 244(3): 675–689.10.1016/j.ejor.2014.12.030
  7. Buhrkal, K., Zuglian, S., Ropke, S., Larsen, J. and Lusby, R. (2011). Models for the discrete berth allocation problem: A computational comparison, Transportation Research E: Logistics and Transportation Review 47(4): 461–473.10.1016/j.tre.2010.11.016
  8. Çagatay, I. and Siu Lee Lam, J. (2021). Optimal energy management and operations planning in seaports with smart grid while harnessing renewable energy under uncertainty, Omega 103: 102445, DOI: 10.1016/j.omega.2021.102445.
  9. Chen, G. and Yang, Z.-Z. (2014). Methods for estimating vehicle queues at a marine terminal: A computational comparison, International Journal of Applied Mathematics and Computer Science 24(3): 611–619, DOI: 10.2478/amcs-2014-0044.
  10. Delignette-Muller, M.L. and Dutang, C. (2015). fitdistrplus: An R package for fitting distributions, Journal of Statistical Software 64(4): 1–34.10.18637/jss.v064.i04
  11. Dragovic, B., Park, N.K. and Radmilovic, Z. (2006). Ship-berth link performance evaluation: Simulation and analytical approaches, Maritime Policy & Management 33(3): 281–299.10.1080/03088830600783277
  12. Feitelson, D.G., Tsafrir, D. and Krakov, D. (2014). Experience with using the parallel workloads archive, Journal of Parallel and Distributed Computing 74(10): 2967–2982.10.1016/j.jpdc.2014.06.013
  13. Giallombardo, G., Moccia, L., Salani, M. and Vacca, I. (2010). Modeling and solving the tactical berth allocation problem, Transportation Research B: Methodological 44(2): 232–245.10.1016/j.trb.2009.07.003
  14. Gosasang, V., Chandraprakaikul, W. and Kiattisin, S. (2011). A comparison of traditional and neural networks forecasting techniques for container throughput at Bangkok port, Asian Journal of Shipping and Logistics 27(3): 463–482.10.1016/S2092-5212(11)80022-2
  15. Hedjar, R. and Bounkhe, M. (2019). An automatic collision avoidance algorithm for multiple marine surface vehicles, International Journal of Applied Mathematics and Computer Science 29(4): 759–768, DOI: 10.2478/amcs-2019-0056.
  16. Imai, A., Yamakawa, Y. and Huang, K. (2014). The strategic berth template problem, Transportation Research E: Logistics and Transportation Review 72: 77–100, DOI: 10.1016/j.tre.2014.09.013.
  17. Kang, L., Meng, Q. and Tan, K.C. (2020). Tugboat scheduling under ship arrival and tugging process time uncertainty, Transportation Research E: Logistics and Transportation Review 144: 102125, DOI: 10.1016/j.tre.2020.102125.
  18. Lasdon, L., Fox, R. and Ratner, M. (1974). Nonlinear optimization using the generalized reduced gradient method, RAIRO—Operations Research—Recherche Opérationnelle 8(3): 73–103.10.1051/ro/197408V300731
  19. Li, C., Qi, X. and Song, D. (2016). Real-time schedule recovery in liner shipping service with regular uncertainties and disruption events, Transportation Research B: Methodological 93: 762–788, DOI: 10.1016/j.trb.2015.10.004.
  20. Liu, C. (2020). Iterative heuristic for simultaneous allocations of berths, quay cranes, and yards under practical situations, Transportation Research E: Logistics and Transportation Review 133: 101814, DOI: 10.1016/j.tre.2019.11.008.
  21. NEO Research Group (2013). Vehicle routing problem, https://neo.lcc.uma.es/vrp/.
  22. Pachakis, D. and Kiremidjian, A.S. (2003). Ship traffic modeling methodology for ports, Journal of Waterway, Port, Coastal, and Ocean Engineering 129(5): 193–202.10.1061/(ASCE)0733-950X(2003)129:5(193)
  23. Reinelt, G. (1995). TSPLIB, http://comopt.ifi.uni-heidelberg.de/software/TSPLIB95/index.html.
  24. Schepler, X., Balev, S., Michel, S. and Sanlaville, É. (2017). Global planning in a multi-terminal and multi-modal maritime container port, Transportation Research E: Logistics and Transportation Review 100: 38–62, DOI: 10.1016/j.tre.2016.12.002.
  25. Shabayek, A. and Yeung, W. (2002). A simulation model for the Kwai Chung container terminals in Hong Kong, European Journal of Operational Research 140(1): 1–11.10.1016/S0377-2217(01)00216-8
  26. Stahlbock, R. and Voß, S. (2008). Operations research at container terminals: A literature update, OR Spectrum 30(1): 1–52.10.1007/s00291-007-0100-9
  27. Taillard, E. (1993). Benchmarks for basic scheduling problems, European Journal of Operational Research 64(2): 278–285.10.1016/0377-2217(93)90182-M
  28. van Asperen, E., Dekker, R., Polman, M. and de Swaan Arons, H. (2003). Modeling ship arrivals in ports, in S. Chick et al. (Eds), Proceedings of the 2003 Winter Simulation Conference, IEEE, New York, pp. 1737–1744.10.1109/WSC.2003.1261627
  29. Wang, W., Chen, X., Musial, J. and Blazewicz, J. (2020). Two meta-heuristic algorithms for scheduling on unrelated machines with the late work criterion, International Journal of Applied Mathematics and Computer Science 30(3): 573–584, DOI: 10.34768/amcs-2020-0042.
  30. Wawrzyniak, J., Drozdowski, M. and Sanlaville, É. (2020). Selecting algorithms for large berth allocation problems, European Journal of Operational Research 283(3): 844–862.10.1016/j.ejor.2019.11.055
  31. Wawrzyniak, J., Drozdowski, M. and Sanlaville, É. (2021). Container ship traffic model for simulation studies—Additional resources, http://www.cs.put.poznan.pl/mdrozdowski/stm/.
DOI: https://doi.org/10.34768/amcs-2022-0038 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X
Language: English
Page range: 537 - 552
Submitted on: Nov 17, 2021
Accepted on: Jul 18, 2022
Published on: Dec 30, 2022
Published by: University of Zielona Góra
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2022 Jakub Wawrzyniak, Maciej Drozdowski, Éric Sanlaville, published by University of Zielona Góra
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.