Abstract
The optimization of seaside operations at container terminals includes solving standard berth and crane allocation problems. The question arises about the efficiency of such optimizations in small and medium-sized container terminals, with different quay designs or different terminal layouts. This paper focuses on developing an integrated model that would apply to medium-sized terminals with a multi-quay layout. The main objectives are determining the shortest possible vessel stay at the port and providing a high-reliability service to ship operators. The developed integrated model includes the optimization process in three stages: initiation, assignment, and adjustment. The model’s main feature is generating operational scenarios based on the cargo distribution onboard and integrated berth and crane allocation. The aim is to choose the most favorable option to optimize ships’ overall processing time in the planning horizon. The experiment was conducted to test the model’s functionality and justify the results by comparing the results obtained by the integrated model with the classical approach of berth and crane allocation in a multi-quay environment. The results show significant improvements in peak periods when ships’ arrivals are concentrated in smaller time intervals by applying the integrated model.
Highlights
The development of container shipping presents continuous challenges to ports for large and for small and medium-size terminals
Due to the seaside operations that are considered to be most important for shipping operators because of their high impact on vessels’ service time in ports, the methods and models of optimization developed in the last few decades aim to improve and facilitate relevant decisions: namely, the decision of when the ship will be berthed, on which berth, how many quay cranes will be assigned to the vessel, and in which way the handling process will be shared between assigned cranes
[22,23], we developed a methodology for the complete integrated problem solution proposed in [22,23], we developed a methodology for the complete solution for berth allocation problem (BAP), BAP, quay crane allocation problem (QCAP), solution for QCAP, and and quay crane scheduling problem (QCSP)
Summary
The development of container shipping presents continuous challenges to ports for large and for small and medium-size terminals (hereinafter: CT). Many small and medium-sized ports have different terminal layouts than those of high-productivity port hubs or have displaced container handling facilities. Due to the seaside operations that are considered to be most important for shipping operators because of their high impact on vessels’ service time in ports, the methods and models of optimization developed in the last few decades aim to improve and facilitate relevant decisions: namely, the decision of when the ship will be berthed, on which berth, how many quay cranes will be assigned to the vessel, and in which way the handling process will be shared between assigned cranes
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