Planning and Decision-Making to Increase Productivity on a Maritime Container Terminal
Abstract
This article describes orientations in optimization of operationson a maritime container terminal. With the application ofan adequate model for forecasting, planning and simulating itis possible to increase the productivity and optimize the capacityof the terminal. The emphasis is mainly on setting up the decisionmaking model, in order to raise productivity in all subsystemsof the maritime container terminal.Management of a maritime container terminal is a complexprocess, which includes a vast number of different decisions.The management must develop elements and strategiesfor checking the productivity and its rise, which can only beachieved through optimization of the entire system. Withknowledge about new technologies, operational processes,methods of forecast and simulation it is possible to achieve theeasiest usage of different strategies for improving productivity.This is particularly valid for terminals, where the physical extensionof the terminal is practically impossible and further developmentof the system is possible only by searching internalsources. Therefore, the management of a maritime containerterminal must develop an appropriate decision support mode~in order to make an adequate support to strategic decisions.These decisions relate basically to the assessment of the best developmentand optimization decisions and on application ofproposed solutions in the infrastructure and suprastructure ofthe terminal.References
(1] Choi, Y. S.: Analysis of Combined Productivity of Equipments
in Container Terminal, Korea Maritime Institute,
Maritime Review, Vol. 3, 2003, p. 57-80
(2] D. Steenken, S. Vob, R. Stahelbock, 'Container terminal
operation and operations research', OR Spectrum,
Springer- Verlag, 2004
(3] P. Franke, K.. Alicke, D. Arnold, 'Modeling and optimization
of the intermodal terminal', IHL, Universitat
Karlsruhe, Karlsruhe, 2001
I. A. Hansen, 'Automated shunting of rail container
wagons in ports and terminal areas', Transportation
Planning and Technology, 27, 5, 2004, pp. 385-401
(5] H. Bielli, A. Boulmakoul, M. Rida, 'Objected oriented
model for container terminal distributed simulation' European
Journal of Operational Research, 2005, pp.
-21
E. Peterlini, 'State of the Art of conventional and innovative
techniques in intermodal transport' EUTP, Brussels,
June, 2001
(7] Imai, A, Nishimura, E and Papadimitriou, S. 2001: The
dynamic berth allocation problem for a container port.
Transportation Research Part B 35: 401--417
(8] Gunther H-0, Kim K-H: Container terminals and terminal
operations. OR Spectrum, 2006:437--445
(9] Steenken, D., Vo6, S., and Stahlbock, R. (2004). Container
Terminal Operation and Operations Research -A
Classification and Literature Review. OR Spectrum,
(1):3--49
(10] Gambardella L. M., Rizzoli A. E., Zaffalon M: Simulation
and Planning of an Intermodal Container Terminal,
IDSIA - Istituto Daile Molle di Studi sull'Intelligenza
Artificiale
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
