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The box selectivity in operational stack of container terminal is a quite common and long studied question. The pure random choice is governed by the theory of probability offering some combinatorial estimations. The introduction of operational rules like import/export separation, storage by shipping lines, sorting by rail or truck transportation etc., as well as the most notorious ‘sinking’ effect, i.e. covering of boxes arrived earlier by next cargo parties – all these blur the clear algebraiс picture and lead to appearance of many heuristic outlooks of the problem. A new impetus to this problem in last decades was given by the rapid development of IT, AI and simulation techniques. There are quite many examples of the models described in the scientific publication reflecting many real and arbitrary terminals, which embed very advanced and complicated mechanisms reflecting selected features and strategies. Unfortunately, these models usually are created ad hoc, with some pragmatic objectives and under the demand of closest possible proximity to the simulating objects. There are much less models designated to pure scientific study of the deep inner mechanisms responsible for the primal behavior of the operating container stack, enabling to introduce step by step new rules and restrictions, providing regular proving of every next stage’s adequacy and easy to use. This paper describes one attempt of this kind to create a new theoretical tool to put into the regular toolkit of the container terminal designer. The study starts with mathematical (combinatorial) considerations, proceeds with some restrictions caused by physical and technological characteristics, and ends up with the simulation model, which adequacy is confirmed by practical results.
Rocznik
Tom
Strony
797--801
Opis fizyczny
Bibliogr. 8 poz., rys., tab.
Twórcy
autor
- Admiral Makarov State University of Maritime and Inland Shipping, St. Petersburg, Russia
autor
- Admiral Makarov State University of Maritime and Inland Shipping, St. Petersburg, Russia
autor
- Admiral Makarov State University of Maritime and Inland Shipping, St. Petersburg, Russia
Bibliografia
- 1. Ines Rekik, Sabeur Elkosantini, Habib Chabchoub. A case based heuristic for container stacking in seaport terminals. Advanced Engineering Informatics, Volume 38, October 2018, Pages 658‐669.
- 2. Sel Ozcan, Deniz Türsel Eliiyi. A reward‐based algorithm for the stacking of outbound containers. Transportation Research Procedia, Volume 22, 2017, Pages 213‐221.
- 3. Ceyhun Güven, Deniz Türsel Eliiyi. Trip Allocation and Stacking Policies at a Container Terminal. Transportation Research Procedia, Volume 3, 2014, Pages 565‐573.
- 4. Alexander L. Kuznetsov. Do box stacks really have a ‘sinking effect’? Cargo Systems, September 2008, Pages 55‐59.
- 5. Alexander L. Kuznetsov. Mapping out the latest terminal technology. Cargo Systems, May 2009, Pages 33‐34.
- 6. Alexander L. Kuznetsov et al. Simulation as an integrated platform for container terminal development life‐cycle. Proceedings of 13th International Conference on Harbor Maritime Intermodal Logistics Modelings and Simulation. October 13‐15, 2016, Fez, Morocco.
- 7. Xiao Long Han, Qianqian Wang, Ji Wei Huang. Scheduling cooperative twin automated stacking cranes in automated container terminals. Computers & Industrial Engineering, Volume 128, February 2019, Pages 553‐558.
- 8. Amir Gharehgozli, Nima Zaerpour. Stacking outbound barge containers in an automated deep‐sea terminal. European Journal of Operational Research, Volume 267, Issue 3, 16 June 2018, Pages 977‐995.
Typ dokumentu
Bibliografia
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