A practical approach for process mining in production processes

F. Kossak, C. Lettner, V. Geist, A. Denkmayr, B. Käferböck. A practical approach for process mining in production processes. volume 285, pages 87-95, DOI 0.1007/978-3-319-58801-8_8, 5, 2017.

Autoren
  • Felix Kossak
  • Christian Lettner
  • Verena Geist
  • Andreas Denkmayr
  • Beate Käferböck
BuchInnovations in Enterprise Information Systems Management and Engineering - ERP Future 2016 - Research, Revised Papers
TypIn Buch
VerlagSpringer
SerieLecture Notes in Business Information Processing
Band285
DOI0.1007/978-3-319-58801-8_8
ISBN978-3-319-58800-1
Monat5
Jahr2017
Seiten87-95
Abstract

Processes are the core of an enterprise and describe the interconnection of tasks in daily business. Process analysis/mining provides methods and tools that enable extraction of processes, e.g., from machine event logs. This valuable knowledge about the current processes of a company can serve as the starting point for performance analysis and process improvement, for implementation of a software system or for monitoring adherence to processes. In this paper, we present two actual business scenarios of manufacturing companies and their requirements regarding process analysis. We suggest a procedure and developed a process mining tool, which addresses the requirements and may provide all paths of a process model (also outliers) optionally with meta data. A comparison of de jure and de facto processes and a suggestion of optimization potentials complete the work.