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A project involves the overall activities which consume resources and have to be completed according to determined goals within a specified time. Project management consists of planning, programming and controlling of project activities. Project planning methods are used for project management. Gantt charts, CPM and PERT methods are the project planning methods. CPM assumes that duration of activities are known with certainty. However for many projects it is not possible because the project is either applied for the first time or it is applied rarely. PERT is applied in these situations and for each activity three time estimations are done. International transportation and logistic terms also have gained importance by the increasing global competition. In order to get competitive advantage at harbors, which are inseparable part of marine transportation, it is aimed to provide more efficient service to customers at minimum costs. In addition to the services provided at harbors, such as temporary storage, transportation, stuffing and unstuffing, there are also marine services berting and leaving of vessels. The latter, which is provided by tugboat, is named as a tugboat service. In this study PERT is applied to Harbor Marine Service Automation Project. The mean completion time and variance of project is found and probabilities of different completion time of project are calculated.

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Container reshuffle is one of the main problems that container terminals face for several reasons. One reason for container reshuffle is uncertain transaction type. Yard planner needs the information for the transaction type to allocate inbound containers without causing a reshuffle. The vessel agent submits the transaction type information on the discharge list. However, before the vessel's arrival, circumstances -such as change of the cargo owner or lack of information -are encountered; therefore, information on the discharge list is unreliable. Yard planner can know the exact transaction type only before the container exits. This article follows the given steps of the cross industry standard process for data mining (CRISP-DM) at a seaport in Turkey to predict the transaction type before vessel arrival. We propose a multiple logistics regression model integrated with the terminal operating system to provide sustainable outputs to planners. The model predicts the container transaction type with 89% accuracy.