Tytuł artykułu
Treść / Zawartość
Pełne teksty:
Identyfikatory
Warianty tytułu
Języki publikacji
Abstrakty
The container yard is the key element of any modern container terminal. The huge amount of boxes dwelling on the operational areas of the terminals could occupy a lot of space, since one-time storage capacity of the container mega terminal handling over one million TEUs annually is something around 20 000 TEUs. The ecological pressure imposed on modern container terminal does not permit to allocate for this storage large land areas, thus forcing the box stacks grow high. The selection of the individual boxes becomes a complex and time-consuming procedure, demanding a lot of technological resources and deteriorating the service quality. The predicted combinatorial growth of redundant moves needed to clear the access to the individual container is aggravated by the well-known and widely discussed ‘sinking effect’, when containers arrived earlier are gradually covered by the ones arriving afterwards. While the random selection could be adequately assessed by combinatorial methods, the ‘sinking effect’ allows neither intuitive consideration, nor any traditional mathematical means. The only practical way to treat this problem today is in simulation, but the simulation itself causes yet another problem: the problem of model adequacy. This study deals with one possible approach to the problem designated to prove its validity and adequacy, without which the simulation has naught gnoseological value.
Rocznik
Tom
Strony
159--162
Opis fizyczny
Bibliogr, 9 poz., rys., tab.
Twórcy
autor
- Admiral Makarov State University of Maritime and Inland Shipping, Saint-Petersburg, Russia
autor
- Admiral Makarov State University of Maritime and Inland Shipping, Saint-Petersburg, Russia
autor
- Admiral Makarov State University of Maritime and Inland Shipping, Saint-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. Alexander L. Kuznetsov. Do box stacks really have a ‘sinking effect’? Cargo Systems, September 2008, Pages 55-59.
- 3. Ines Rekik, Sabeur Elkosantini, Habib Chabchoub. RealTime Stacking System for dangerous containers in seaport terminals. IFAC-PapersOnLine, Volume 48, Issue 3, 2015, Pages 141-148.
- 4. Sel Ozcan, Deniz Türsel Eliiyi. A reward-based algorithm for the stacking of outbound containers. Transportation Research Procedia, Volume 22, 2017, Pages 213-221.
- 5. Ceyhun Güven, Deniz Türsel Eliiyi. Trip Allocation and Stacking Policies at a Container Terminal. Transportation Research Procedia, Volume 3, 2014, Pages 565-573.
- 6. Ines Rekik, Sabeur Elkosantini, Habib Chabchoub. A case based reasoning based multi-agent system for the reactive container stacking in seaport terminals. Procedia Computer Science, Volume 108, 2017, Pages 927-936.
- 7. Houjun Lu, Sai Wang. A study on multi-ASC scheduling method of automated container terminals based on graph theory. Computers & Industrial Engineering, Volume 129, March 2019, Pages 404-416.
- 8. Amir Gharehgozli, Yugang Yu, René de Koster, Shaofu Du. Sequencing storage and retrieval requests in a container block with multiple open locations. Transportation Research Part E: Logistics and Transportation Review, Volume 125, May 2019, Pages 261-284.
- 9. Ioanna Kourounioti, Amalia Polydoropoulou, Christos Tsiklidis. Development of Models Predicting Dwell Time of Import Containers in Port Container Terminals – An Artificial Neural Networks Application. Transportation Research Procedia, Volume 14, 2016, Pages 243-252.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-90efa8fb-855f-45fa-9ad6-de610b7d5927