Optimization strategies of container terminals

• Autorzy: Kuznetsov Alexander L. , Kirichenko Alexander V. , Semenov Anton D. , Borevich Albert Z.

Identyfikatory

DOI

10.26408/115.05

• Języki publikacji: EN

Abstrakty

EN

One of the main tasks of operational management of modern container terminals is effective utilization of existing technological resources. The search for possible variants of terminal activity optimization requires constant analysis of transport process technology and development of technical and technological approaches to increase the effectiveness of resources utilization. One of the possible solutions provided by terminal operational systems is the application of different strategies of container stack organization and container selectivity. At the same time, the complicated character of input and output container flow makes the effectiveness of these strategies doubtful. The paper states that this particular manner of container service is different from traditional ones, i.e. FIFO and FILO. As output container flow is randomly distributed the manner of container service can be considered as First In/Random Out. The paper also considers different strategies that are applied in practice and analyzes its influence on the productivity of handling equipment. The results of these strategies simulation modeling are represented. The results prove that no strategy can provide a productivity with theoretical selectivity; any strategy provides slowed intensity of operations. At the same time, it is proved that the only optimization strategy which increases the productivity of handling equipment is the organization of terminal activity whereby containers can be selected from the stack not in requirement sequence, but in order of its position in a stack.

Słowa kluczowe

EN

container terminal; stacking strategy; selectivity; productivity

• Wydawca: Publishing House of Gdynia Maritime University
• Czasopismo: Scientific Journal of Gdynia Maritime University
• Rocznik: 2020
• Tom: nr 115
• Strony: 42--54
• Opis fizyczny: Bibliogr. 10 poz., rys., tab.

Twórcy

autor

Kuznetsov Alexander L.

• Admiral Makarov State University of Maritime and Inland Shipping, 5/7, Dvinskaya str, Saint Petersburg, 198035, Russia

autor

Kirichenko Alexander V.

• Admiral Makarov State University of Maritime and Inland Shipping, 5/7, Dvinskaya str, Saint Petersburg, 198035, Russia

autor

Semenov Anton D.

• Admiral Makarov State University of Maritime and Inland Shipping, 5/7, Dvinskaya str, Saint Petersburg, 198035, Russia

autor

Borevich Albert Z.

• Peter the Great St. Petersburg Polytechnic University, Saint Petersburg, 195251, Polytechnicheskaya, 29, Russia

Bibliografia

• 1. Christopher, M., 2016, Logistics & Supply Chain Management, Pearson UK.
• 2. Cordeau, J.F., Legato, P., Mazza, R.M., Trumfio, R., 2015, Simulation-Based Optimization for Housekeeping in a Container Transshipment Terminal, Computers & Operations Research, vol. 53, pp. 81–95.
• 3. Euchi J., Moussi, R., Ndiaye, F., Yassine, A., 2016, Ant Colony Optimization for Solving the Container Stacking Problem: Case of Le Havre (France) Seaport Terminal, International Journal of Applied Logistics (IJAL), vol. 6 no. 2, pp. 81–101.
• 4. Gnedenko, B.V., 2018, Theory of Probability, Gnedenko B.V., Routledge.
• 5. Ji, M., Guo, W., Zhu, H., Yang, Y., 2015, Optimization of Loading Sequence and Rehandling Strategy for Multi-quay Crane Operations in Container Terminals, Transportation Research, Part E: Logistics and Transportation Review, vol. 80, pp. 1–19.
• 6. Kirichenko, A.V., Kuznetsov, A.L., Davydenko, A.A., Latukhov, S.V., Nikitin, V.A., 2017, Morskaya Konteinernaya Transportno-Tekhnologicheskaya Sistema: monografiya, Kirichenko A.V. (ed.), SPb.: Izd-vo MANEB.
• 7. Kuznetsov, A.L., Semenov, A.D., Levchenko, V.P., 2019, The Influence of Container Handling Equipment Technical Limitations on the Operations Productivity, Vestnik Gosudarstvennogo Universiteta Morskogo i Rechnogo Flota imeni Admirala S.O. Makarova, 11.3, St. Petersburg, pp. 417–429.
• 8. Shortle, J.F., Thompson, J.M., Gross, D., Harris, C.M., 2018, Fundamentals of Queueing Theory, John Wiley & Sons.
• 9. Suchánek, P., Bucki, R., 2017, Modelling of the Logistic Supplier-Consumer Behavior, KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications, Springer, Cham, pp. 213–222.
• 10. Zomaya, A.Y., Sakr, S. (ed.), 2017, Handbook of Big Data Technologies, Springer, Berlin.

Uwagi

„Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).”