Abstract
We study in this paper a dynamic berth and quay cranes allocation strategy in general seaport container terminals. We develop a dynamical model that describes the operation of berthing process with multiple discrete berthing positions and multiple quay cranes. Based on the proposed model, we develop a dynamic allocation strategy using the model predictive control (MPC) paradigm. The proposed strategy is evaluated using real data from a container terminal in Indonesia. The simulation results show that the MPC-based allocation strategy can improve the efficiency of the process where the total handling and waiting cost is reduced by approximately 20% in comparison to the commonly adapted method of first-come first-served (FCFS) (for the berthing process) combined with the density-based quay cranes allocation strategy.
Original language | English |
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Title of host publication | 2015 European Control Conference |
Place of Publication | Linz, Austria |
Pages | 3267-3272 |
Number of pages | 6 |
DOIs | |
Publication status | Published - 15-Jul-2015 |
Event | European Control Conference 2015 - Linz, Austria Duration: 15-Jul-2015 → 17-Jul-2015 |
Conference
Conference | European Control Conference 2015 |
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Country/Territory | Austria |
City | Linz |
Period | 15/07/2015 → 17/07/2015 |
Keywords
- Container terminals
- Container operations
- model predictive control
- Berth and quay crane allocation
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Dynamic berth and quay crane allocation for multiple berth positions and quay cranes
Tri Cahyono, R. (Contributor), Flonk, E. J. (Contributor) & Jayawardhana, B. (Contributor), DataverseNL, 26-Jan-2017
DOI: 10.34894/1l004c
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