Abstract
The paper deals with the problem of scheduling the loading/discharging operations of two simultaneously berthed vessels, assuming that some of the containers discharged from a vessel must be directly loaded on the other one. For these containers also the stowage position must be decided. The aim is to minimize the time needed to complete all the operations required by the involved vessels. For this problem we present a mathematical model, a heuristic algorithm and discuss the computational results on a set of randomly generated instances.
The research has been supported by Ministero dell’Istruzione, Università e Ricerca under the PRIN 2015 research program - Grant 2015XAPRKF - Smart PORt Terminals.
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References
Alicke, K.: Modeling and optimization of the intermodal terminal Mega Hub. OR Spectr. 24(2), 1–18 (2002)
Bierwirth, C., Meisel, F.: A fast heuristic for quay crane scheduling with interference constraints. J. Sched. 12(4), 345–360 (2009)
Blumenhagen, D.: Containerization and Hinterland traffic. Marit. Policy Manag. 8(3), 197–206 (1981)
Chiarello, A., Gaudioso, M., Sammarra, M.: Truck synchronization at single door cross-docking terminals. OR Spectr. 40(2), 395–447 (2018)
Garro, A., Monaco, M.F., Russo, W., Sammarra, M., Sorrentino, G.: Agent-based simulation for the evaluation of a new dispatching model for the straddle carrier pooling problem. Simulation 91(2), 181–202 (2015)
Gendreau, M., Potvin, J.Y.: Tabu search. In: Gendreau, M., Potvin, J.Y. (eds.) Handbook of Metaheuristics. ISOR, vol. 146, pp. 41–59. Springer, Boston (2010). https://doi.org/10.1007/978-1-4419-1665-5_2
Lee, B.K., Jung, B.J., Kim, K.H., Park, S.O.: A simulation study for designing a rail terminal in a container port. In: Perrone, L.F., Wieland, F.P. et al. (eds.) Proceedings of the 38th Conference on Winter Simulation, pp. 1388–1397 (2006)
Lian, C., Hwang, H., Gen, M.: A berth allocation planning problem with direct transhipment consideration. J. Intell. Manuf. 23(6), 2207–2214 (2012)
Meisel, F., Bierwirth, C.: A unified approach for the evaluation of quay crane scheduling models and algorithms. Comput. Oper. Res. 38(3), 683–693 (2011)
Monaco, M.F., Sammarra, M.: Quay crane scheduling with time windows, one-way and spatial constraints. Int. J. Shipp. Transp. Logist. 3(4), 454–474 (2011)
Monaco, M.F., Sammarra, M.: The direct ship-to-ship container transshipment problem at a maritime terminal. In: Gunther, H.-O., Kim, K.-H., Kopfer, H. (eds.) International Conference on Logistics and Maritime Systems, LOGMS2012, pp. 79–89 (2012)
Monaco, M.F., Sammarra, M., Sorrentino, G.: The terminal-oriented ship stowage planning problem. Eur. J. Oper. Res. 239(1), 256–265 (2014)
Nam, H., Lee, T.: A scheduling problem for a novel container transport system: a case of mobile harbor operation schedule. Flex. Serv. Manuf. J. 25, 576–608 (2013)
Sammarra, M., Cordeau, J.-F., Laporte, G., Monaco, M.F.: A tabu search algorithm for the quay crane scheduling problem. J. Schedul. 10(4–5), 327–336 (2007)
Zeng, Q., Feng, Y., Chen, Z.: Optimizing berth allocation and storage space in direct transshipment operations at container terminals. Marit. Econ. Logist. 19(3), 474–503 (2017)
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Monaco, M.F., Sammarra, M. (2018). Skipping the Storage Phase in Container Transshipment Operations. In: Cerulli, R., Raiconi, A., Voß, S. (eds) Computational Logistics. ICCL 2018. Lecture Notes in Computer Science(), vol 11184. Springer, Cham. https://doi.org/10.1007/978-3-030-00898-7_13
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DOI: https://doi.org/10.1007/978-3-030-00898-7_13
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