Business Process Model Extension with Cost Perspective based on Process Mining

Abstract:

Organizations always look for enhancing their efficiency and competitiveness by improving their business processes. Business Process Management includes techniques allowing continuous business process improvement. Process mining is a mature technology allowing to extract knowledge from event logs commonly available in today’s information systems. Business process model extension is a process mining technique covering different perspectives of the business process. Furthermore, financial cost incurred during business process execution is prominent information needed by decision makers to take the appropriate decisions for business process improvement in terms of cost reduction. We proposed a solution allowing Petri net model extension with cost perspective based on process mining extension technique. With respect to the recommendations drawn from talks with experts, we improved the proposed solution in order to enhance the provided decision making support. These improvements concern three main levels: cost data structure, cost data description and cost data analysis.However, Petri nets are not used by all organizations as a modeling notation of their business processes. Therefore, there is a need for the generalization of the proposed solution so that it can be used in the context of business processes modeled with other notations. In this paper, we propose a cost extension of the high-level process Structure which is a meta-model allowing the integration of different perspectives of a business process into one model independently of its notation.

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