Architecture of process mining based business process optimization

The optimization of processes of business guarantees the successes of informationization project. Although its importance is fully recognized, it never obtains sufficient study. This paper first discuss the current business process optimization methods, they are classified into three type: participation-type, principle-type and analytical-type. Then, architecture of process mining based business process optimization is proposed. According to this architecture, the subset of information that is relevant for process mining or analysis is extracted from a variety of business process system. This information is then modelled in certain of expression. Based on the model, hidden relationship and unknown knowledge about business processes are extracted and stored in the form of business knowledge model. With the help of the acquired business knowledge, business process can be optimized both on macro structure level through case based reasoning and on micro parameter level through process simulation and linear programming. Business process performance measurement system is employed in the architecture to check effect of optimization. Finally, key issues in this architecture are discussed.