Towards a General Solution for Business Process Model Extension with Cost Perspective based on Process Mining

Abstract:

Several organizations look for improving their Business Processes (BP) in order to enhance their efficiency and competitiveness. BP Management (BPM) approach includes techniques allowing continuous BP improvement. Process Mining (PMining) is a BPM technique allowing to extract knowledge from event logs commonly available in today’s information systems. BP model extension is a PMining technique enriching a BP model with different perspectives useful for decision making support. Furthermore, financial costs incurred during BP execution is prominent information needed for BP improvement decision making in terms of cost reduction. We proposed a solution for BP model extension with cost perspective based on PMining. The solution is based on cost extension of the High Level Process Structure (HLPS) which is a meta-model enabling the integration of different perspectives into one model independently of its notation. However, the cost extension is designed only at the activity level and the general approach needs to be validated. In this paper, on one hand, we propose an improved version of the proposed approach providing cost extension including cost data description and analysis at both activity and BP levels, and on the other hand, we present an illustration of the improved solution.

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