Mining Inter-organizational Business Process Models from EDI Messages: A Case Study from the Automotive Sector

Authors: 
Robert Engel
Wil M.P. van der Aalst
Marco Zapletal
Christian Pichler
Type: 
Speech with proceedings
Proceedings: 
Lecture Notes in Computer Science
Publisher: 
Springer
Pages: 
222 - 237
ISBN: 
Year: 
2012
Abstract: 
Traditional standards for Electronic Data Interchange (EDI), such as EDIFACT and ANSI X12, have been employed in Business-to-Business (B2B) e-commerce for decades. Due to their wide industry coverage and long-standing establishment, they will presumably continue to play an important role for some time. EDI systems are typically not 'process-aware', i.e., messages are standardized but processes simply 'emerge'. However, to improve performance and to enhance the control, it is important to understand and analyze the 'real' processes supported by these systems. In the case study presented in this paper we uncover the inter-organizational business processes of an automotive supplier company by analyzing the EDIFACT messages that it receives from its business partners. We start by transforming a set of observed messages to an event log, which requires that the individual messages are correlated to process instances. Thereby, we make use of the specific structure of EDIFACT messages. Then we apply process mining techniques to uncover the inter-organizational business processes. Our results show that inter-organizational business process models can be derived by analyzing EDI messages that are exchanged in a network of organizations.
TU Focus: 
Information and Communication Technology
Reference: 

R. Engel, W.M.P. van der Aalst, M. Zapletal, C. Pichler, H. Werthner:
"Mining Inter-organizational Business Process Models from EDI Messages: A Case Study from the Automotive Sector";
Vortrag: 24th International Conference on Advanced Information Systems Engineering (CAiSE 2012), Gdansk, Poland; 25.06.2012 - 29.06.2012; in: "Lecture Notes in Computer Science", Springer, 7328 (2012), S. 222 - 237.

Zusätzliche Informationen

Last changed: 
30.06.2012 11:18:58
TU Id: 
207832
Accepted: 
Accepted
Invited: 
Department Focus: 
Business Informatics
Abstract German: 
Author List: 
R. Engel, W.M.P. van der Aalst, M. Zapletal, C. Pichler, H. Werthner