Abstract

Project managers need to determine the appropriate operations for solving problems in project management. In order to obtain the necessary skills for determining these operations, project managers learn and practice the theory of project management, which requires great deal of time and money. To provide more efficient training for project managers, we developed a skill-up simulator to allow the project manager to practice such operations on a computer. However, the simulator did not show the project manager which operations need to be improved. Our proposed method identifies the operations that need to be improved in comparison to other operations. Because it is time-consuming to collect operations from other project managers, agent programs automatically generate the operations in the proposed method. By inputting the generated operations to the simulator, the proposed method obtains project results for the operations. Operations to be improved are identified by a decision tree trained with other operations and evaluations. The experimental results confirm that the proposed method can correctly identify operations that need to be improved.

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