Optimization of the Seaport Facilities in Complex System Queue Using Fuzzy Logi

A. Budiono
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Abstract

As is well known, that the queuing system model of ships in port plays an important role in efforts to improve the quality of service. Therefore, when used in accordance queuing system and supported by the provision of adequate support facilities it can be ascertained that the services that can be provided would be optimal. In this paper, we will report the results of research on the optimization of port facilities in the complex queuing system using fuzzy logic. We have been developing a methodology optimization of port facilities by a modeling queuing systems and simulation where the system queue complex usually consists of multiple servers connected to a particular system and has a different behavior, among which the pattern of arrival of the vessel, type of service and pattern of services provided. Calculation of seaport facilities optimization with fuzzy logic models using the arrival of the ship has a Poisson distribution of patterns while the service time has an exponential distribution pattern with unlimited resources. We found that fuzzy model is relatively faster than the existing mathematical model and fuzzy model has a high flexibility for all possible inputs are provided compared to the mathematical model.
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基于模糊逻辑的港口设施复杂系统队列优化
众所周知,港口船舶排队系统模型在提高服务质量方面发挥着重要作用。因此,如果按照排队制度使用,并提供足够的支援设施,可以确定所提供的服务将是最佳的。在本文中,我们将报告在复杂排队系统中使用模糊逻辑的港口设施优化的研究结果。我们一直在通过建模排队系统和仿真开发港口设施优化方法,其中系统队列复杂通常由连接到特定系统的多个服务器组成,并且具有不同的行为,其中船舶到达模式,服务类型和提供的服务模式。用模糊逻辑模型计算港口设施优化时,船舶到港时具有泊松分布模式,而服务时间在资源无限的情况下具有指数分布模式。我们发现模糊模型比现有的数学模型相对更快,并且与数学模型相比,模糊模型提供了所有可能的输入,具有很高的灵活性。
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