On the application of process management and process mining to Industry 4.0 Process management and process mining in I4.0

The continuous evolution of digital technologies applied to the more traditional world of industrial automation led to Industry 4.0, which envisions production processes subject to continuous monitoring and able to dynamically respond to changes that can affect the production at any stage (resilient...

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Bibliographic Details
Published inSoftware and systems modeling Vol. 23; no. 6; pp. 1407 - 1419
Main Authors Monti, Flavia, Mathew, Jerin George, Leotta, Francesco, Koschmider, Agnes, Mecella, Massimo
Format Journal Article
LanguageEnglish
Published Berlin/Heidelberg Springer Berlin Heidelberg 01.12.2024
Subjects
Compilers
Computer Science
Information Systems Applications (incl.Internet)
Interpreters
IT in Business
Programming Languages
Programming Techniques
Software Engineering
Software Engineering/Programming and Operating Systems
Special Section Paper
Process mining
Industry 4.0
Process adaptation
BPM
Process management
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Summary:The continuous evolution of digital technologies applied to the more traditional world of industrial automation led to Industry 4.0, which envisions production processes subject to continuous monitoring and able to dynamically respond to changes that can affect the production at any stage (resilient factory). The concept of agility , which is a core element of Industry 4.0, is defined as the ability to quickly react to breaks and quickly adapt to changes. Accurate approaches should be implemented aiming at managing, optimizing and improving production processes. In this vision paper, we show how process management (BPM) can benefit from the availability of raw data from the industrial internet of things to obtain agile processes by using a top-down approach based on automated synthesis and a bottom-up approach based on mining.
ISSN:1619-1366
1619-1374
DOI:10.1007/s10270-024-01175-z