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The stack control strategy based on the concept of operational temperature

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The paper studies two different types of container strategy: the traditional one, which involves container allocation into positions with a minimum stack height; and the “temperature” one, which considers the positions with a minimum “temperature” for the containers in the stack below. The “temperature” in this case means a metric which is connected to the storage (dwell) time of the containers. Particularly, this value can be represented by container selection probability or number of days stored in the container yard. Utilization of different metrics results in significantly different numbers of moves. Therefore, the authors compare two container stacking strategies: the traditional one and the temperature strategy with different metrics. It is stated that these strategies can be compared only by simulation modelling. The paper describes the main algorithms used to provide simulation modelling. The results of the research show that the temperature strategy with container dwell time as temperature metrics can save 6% of the total moves necessary to maintain the container flow.
Rocznik
Tom
Strony
22--32
Opis fizyczny
Bibliogr. 12 poz., rys.
Twórcy
  • Admiral Makarov State University of Maritime and Inland Shipping, 5/7 Dvinskaya, Saint Petersburg 198035, Russia
  • Admiral Makarov State University of Maritime and Inland Shipping, 5/7 Dvinskaya, Saint Petersburg 198035, Russia,
autor
  • Konecranes Port Solutions, Hyvinge, Finland
Bibliografia
  • 1. Borgman, B., Van Asperen, E., Dekker, R., 2010, Online Rules for Container Stacking, OR Spectrum, vol. 32, no. 3, pp. 687–716.
  • 2. Dayama, N.R., Ernst, A., Krishnamoorthy, M., Narayanan, V., Rangaraj, N., 2017, New Models and Algorithms for the Container Stack Rearrangement Problem by Yard Cranes in Maritime Ports, EURO J Transp Logist, vol. 6, pp. 307–348.
  • 3. Dekker, R., Voogd, P., Van Asperen, E., 2007, Advanced Methods for Container Stacking, Container Terminals and Cargo Systems, Springer, Berlin, Heidelberg, pp. 131-154.
  • 4. Gunawardhana, J.A, Perera, H.N., Thibbotuwawa, A., 2021, Rule-based Dynamic Container Stacking to Optimize Yard Operations at Port Terminals, Maritime Transport Research, vol. 2.
  • 5. Hamdi, S.E., Mabrouk, A., Bourdeaud’huy, T., 2012, A Heuristic for the Container Stacking Problem in Automated Maritime Ports, IFAC Proceedings Volumes, vol. 45, no. 6, pp. 357–363.
  • 6. Kuznetsov, A.L. et al., 2016, 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, Fez, Morocco.
  • 7. Kuznetsov, A., Kirichenko, A., Izotov, O., 2018, The Influence of the Storage Strategy on the Complexity of the Container Selection Procedure, IOP Conference Series: Earth and Environmental Science, vol. 171, no. 1, pp. 1755–1315.
  • 8. Kuznetsov, A.L., Kirichenko, A.V., Semenov, A.D., 2019, Box Selectivity in Different Container Cargo-handling Systems, TransNav, The International Journal on Marine Navigation and Safety of Sea Transportation, vol. 13, no. 4, pp. 797–801.
  • 9. Kuznetsov, A.L., Kirichenko, A.V., Semenov, A.D., 2020, Evaluation of Sinking Effect in Container Stack, TransNav, The International Journal on Marine Navigation and Safety of Sea Transportation, vol. 14, no. 1, pp. 159–162.
  • 10. Kuznetsov, K., Kirichenko, A., Semenov, A.D, Borevich, A., 2020, Optimization Strategies of Container Terminals, Scientific Journal of Gdynia Maritime University, no. 115, pp. 42–54.
  • 11. Kuznetsov, A.L., Kirichenko, A.V., Semenov, A.D., Oja H., 2020, Planning Simulation Experiments in the Tasks of Studying the Operational Strategies of Container Terminals, TransNav, The International Journal on Marine Navigation and Safety of Sea Transportation, vol. 14, no. 4.
  • 12. Maldonado, S., Gonzales-Ramirez, R.G., Quijada, F., Ramirez-Nafarrate, A., 2019, Analytics Meets Port Logistics: A Decision Support System for Container Stacking Operations, Decision Support Systems, vol. 121, pp. 84–93.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-1a8cb55b-b69c-4745-a03b-b974adff5ed8
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