Due to continuous changes in the business context, enterprises have to rapidly react to novel market scenarios. To this end, a better understanding of the actual business processes is needed. This was the real need of a manufacturing company producing coffee machines. As-is processes have been investigated to understand in detail how the production chain works. First, we applied process mining techniques which produced models fitting the expectations, but also presenting some deviations from the designed flow of production activity. In order to understand the reason behind such deviations, an in-depth data analysis using On-Line Analytical Processing has been performed. Such awareness allows the management board to reorganize the production process. We also generalized the approach by proposing a methodology that allows to define, and potentially improve, the production, by giving recommendations.

Data Analysis to Better Understand Business Process Models Discovered with Process Mining

BETTACCHI, Alessandro;POLZONETTI, Alberto;RE, Barbara;
2017-01-01

Abstract

Due to continuous changes in the business context, enterprises have to rapidly react to novel market scenarios. To this end, a better understanding of the actual business processes is needed. This was the real need of a manufacturing company producing coffee machines. As-is processes have been investigated to understand in detail how the production chain works. First, we applied process mining techniques which produced models fitting the expectations, but also presenting some deviations from the designed flow of production activity. In order to understand the reason behind such deviations, an in-depth data analysis using On-Line Analytical Processing has been performed. Such awareness allows the management board to reorganize the production process. We also generalized the approach by proposing a methodology that allows to define, and potentially improve, the production, by giving recommendations.
2017
978-1-61208-536-4
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11581/395200
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