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Business activity monitoring solution to detect deviations in business process execution

机译:业务活动监视解决方案,用于检测业务流程执行中的偏差

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Current paper proposes a custom solution for detecting deviations in process execution by analyzing event logs of running cases. The monitored business processes are extracted with process mining techniques. The behavior of the current alert system is illustrated on a case study, the event process logs resulted from the execution of a software development process used in the IT department of a large automotive company. Enhancing the level of control in project management activities, improving the business process execution by detecting deviations in real time and helping organizations to perform better by providing guidance to the people during task execution are the main reasons for designing the current solution. The statistical information about detected deviations represents the input for an analysis phase having as major scope business process improvements. The alert system was designed as a Web based application and is presented as a Business Activity Monitoring solution operating with process mining concepts.
机译:当前论文提出了一种定制解决方案,通过分析运行案例的事件日志来检测流程执行中的偏差。使用流程挖掘技术提取受监视的业务流程。在案例研究中说明了当前警报系统的行为,事件过程日志是由大型汽车公司的IT部门执行的软件开发过程的执行产生的。设计当前解决方案的主要原因是,提高项目管理活动中的控制级别,通过实时检测偏差来改善业务流程的执行以及通过在任务执行期间向人员提供指导来帮助组织更好地执行。有关检测到的偏差的统计信息表示分析阶段的输入,该分析阶段具有主要范围的业务流程改进。警报系统被设计为基于Web的应用程序,并作为具有流程挖掘概念的业务活动监视解决方案来呈现。

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