Future Berth Requirements Of Izmir Container Port
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Date
2008
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Beykent Üniversitesi
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Abstract
Queuing modeling is frequently used for optimizing the number of berths in a port by considering annual data on time series of container traffic. In this study, the modeling process covers the couple-year data and future forecasts of ship and cargo traffic. Future requirements of berths are also determined according to the assumption based on using the same queuing model which can simulate the results of macro and micro projection on port traffic. Queue model selection plays an important role in determining the number of berths. For the optimization process, the mathematical model should be supported by the cost model proposed. Here, the total cost composed of cost of vacant berths and cost of ships waiting in queue should be minimized. Cost of service from loading and unloading operations maintained at berths and cost of investment are constant for the considered working period in a port and do not change with the number of berths. Therefore, these costs are not added to the total cost. The future requirements of berths are assigned by the queuing model supporting the ship forecasts resulting from the macro and micro projection. The proposed model is managed in the case study on Izmir Port which is the biggest commercial port of Aegean Region in Turkey. The congestion problems of this port are solved by determining its future extension.
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Container port planning, queuing model, seaport optimization, port cost
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Journal of Science and Technology 2 (2), 2008, 246-261
