Design of Goal-Scenario Based Diagnosis Agent for Business Activity Monitoring

The scope of the problems that could be solved by monitoring and the improvement of the recognition time is directly correlated to the performance of the management function of the business process. The Enhydra Shark from the existing WfMS shows the process records on the web client by the allocated activities during the designing process of the process log for the sake of the process monitoring. In WfMOpen, the documentation on the definition of the process is complication and insufficient, and there is no interacting part with other work flow services. Therefore, it rather provides services in accordance with the process result information that was allocated during the previous designing, rather than the monitoring of the changes by the influence of the external environment. In this paper we propose a system, which can interpret and monitoring to the result of each business acts follows in change of external environment. The proposed system applies a meta-heuristic genetic algorithms which to reduce additional load and to acquire the accuracy of system information. In addition, the similarity with the activities, dependency, and correlation are examined to find similar process model, and then the relevancy is extracted by using the event property information. Such information is used to figure out the problems occurring as a result of the changes and provide diagnostic information to support the adaptation decision making. With this, it is possible to apply the judgment of the situation info of the users as it occurs in a dynamic context.