Guiding Process Mining Projects with the IPMM Framework: A Case Study with a German Manufacturer

  • Florian Obersteiner
  • , Egon Lüftenegger*
  • *Korrespondierende/r Autor/-in für diese Arbeit

Publikation: Beitrag in Buch/Bericht/KonferenzbandKapitelBegutachtung

Abstract

Process mining is a transformative approach that leverages event data from disparate information systems to discover, improve performance, and ensure compliance of business processes. Bridging the gap between theory and practice, especially for newcomers, is a pressing concern. To address this issue, we have developed our Integrative Process Mining Management (IPMM) framework, which consists of a methodology and tools to provide organizations with a concise overview of existing process mining methodologies, their pros and cons, and their alignment with current maturity levels. Within our methodology we present our management tool: The Process Mining Maturity Level Cheat Sheet. This process mining management tool outlines potential goals for each maturity level. The IPMM framework offers a structured solution. Our framework emphasizes the importance of tailoring process mining techniques to an organization’s maturity level. Finally, we apply our framework in a German manufacturing company.
OriginalspracheEnglisch
TitelAdvances in Production Management Systems. Production Management Systems for Volatile, Uncertain, Complex, and Ambiguous Environments
Herausgeber (Verlag)Springer Science and Business Media Deutschland GmbH
Seiten48-62
Band731
ISBN (elektronisch)868-422X
ISBN (Print)1868-4238
DOIs
PublikationsstatusVeröffentlicht - 2024

Publikationsreihe

NameIFIP International Conference on Advances in Production Management Systems)
Herausgeber (Verlag)Springer, Cham
Band731
ISSN (Print)1868-4238
ISSN (elektronisch)1868-422X

ASJC Scopus Sachgebiete

  • Information systems

Klassifizierung nach Österreichischer Systematik der Wissenschaftszweige (ÖFOS 2012)

  • 202022 Informationstechnik

Applied Research Level (ARL)

  • ARL Level 6 - Prototypische Anwendung in einer Testumgebung

Forschungsschwerpunkt(e)

  • Industrial Informatics

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