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TitleImproving productive processes using a process mining approach
Author(s)Ribeiro, Rita
Analide, Cesar
Belo, Orlando
KeywordsBottleneck points analysis
Business process optimization
Business processes management
Industry 4.0
Process mining
Process modeling and analysis
Issue date2018
PublisherSpringer, Cham
JournalAdvances in Intelligent Systems and Computing
CitationRibeiro R., Analide C., Belo O. (2018) Improving Productive Processes Using a Process Mining Approach. In: Rocha Á., Adeli H., Reis L., Costanzo S. (eds) Trends and Advances in Information Systems and Technologies. WorldCIST'18 2018. Advances in Intelligent Systems and Computing, vol 746. Springer, Cham.
Abstract(s)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.
TypeConference paper
Publisher version
AccessRestricted access (UMinho)
Appears in Collections:CAlg - Artigos em livros de atas/Papers in proceedings

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