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Box selectivity in different container cargo-handling systems

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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.
Twórcy
  • Admiral Makarov State University of Maritime and Inland Shipping, St. Petersburg, Russia 
  • Admiral Makarov State University of Maritime and Inland Shipping, St. Petersburg, Russia 
  • 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.
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Bibliografia
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