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This paper describes a Hybrid Chi-Squared methodology of Project Plan deviations identification, including those for multiple deviations in a Project Plan system. The sampling methodology was used to analyze similarity, together with a statistical optimization methodology for Chi-Squared, to improve the existing methodology used to forecast data in the Project Plan phase. The created sampling methodology...
This paper describes a methodology which combines Goals, Questions, Indicators, Measures and Procedures (GQIMP), aimed at the implementation of ISO9001, to structure the operation of a Service Center, in a context of Business Process Modeling (BPM). The methodology GQIMP was structured based on BPM approach. In this case, the BPM modeling was used to define the scope of Service Centers. The GQIMP...
Nowadays there are various forms for performing software design, planning, and manufacturing. To each of these it is required a proper process definition to achieve metrological forecasting goal. In this investigation, the research area is Artificial Intelligence algorithms applied to projects for Production Lines design, characterized as Manufacturing Cells. In this type of approach the design project...
This paper describes a hybrid-sampling model for bank fraud diagnosis, including those for multiple frauds in a banking system. The Multi-Layer Perceptron (MLP) network was used to analyze similarity, together with a statistical optimization model for sampling, to reduce the volume of used data in the diagnostics phase. The created MLP was utilized for banking transactions learning, in order to detect...
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