Improving Productive Processes Using a Process Mining Approach

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 746)

Abstract

Today’s companies face great challenges when attempting to quest business markets with their demands on product quality and price. However, when a company maintains high efficiency levels on its productive processes usually it has this challenge quite simplified. The great availability of data we have currently on industry plants provides a very interesting support to face this challenge, when combined with new technologies such as process mining. This paper presents a case study where the very recent process mining techniques were applied to a very particular productive process characterized for its low frequency and heterogeneity. To do this, we made some changes to the “L * life-cycle model” methodology, for applying process mining in the identification of tasks with unsatisfactory performance levels, and analyzing the most relevant and critical aspects that influence it.

Keywords

Business processes management Process modeling and analysis BPMN Business process optimization Bottleneck points analysis Process mining Industry 4.0 

Notes

Acknowledgments

This work has been supported by COMPETE: POCI-01-0145-FEDER-007043 and FCT - Fundação para a Ciência e Tecnologia within the Project Scope: UID/CEC/00319/2013.

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.School of Engineering, ALGORITMI R&D CenterUniversity of MinhoBragaPortugal

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