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

Authors:
Alessandro Bettacchi
Knut Hinkelmann
Alberto Polzonetti
Barbara Re

Keywords: Smart Manufacturing; Process Mining; OLAP

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 re-organize the production process. We also generalized the approach by proposing a methodology that allows to define, and potentially improve, the production, by giving recommendations.

Pages: 14 to 19

Copyright: Copyright (c) IARIA, 2017

Publication date: February 19, 2017

Published in: conference

ISSN: 2308-4391

ISBN: 978-1-61208-536-4

Location: Athens, Greece

Dates: from February 19, 2017 to February 23, 2017