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Abstract

The process of optimizing a port queuing system, from a management perspective, is becoming more and more complicated. If we can find a way to measure the required minimum number and initial number of berths in a port system, and arrive at an optimal solution, we can save time. In this study, we have used many evaluation indexes, including cost functions, to estimate the initial number of berths for a port queuing system. According to our research results, we were able to estimate the initial number of berths (N0) for a port queuing system by using the equation No = α + β α , in which the relation between “traffic density (α)” and “the parameter of the initial facilities (β)” in the system, changes with the different evaluation indexes and levels of service.

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