Mining inter-organizational business process models from EDI messages: A case study from the automotive sector

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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. © 2012 Springer-Verlag Berlin Heidelberg.

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Engel, R., Van Der Aalst, W. M. P., Zapletal, M., Pichler, C., & Werthner, H. (2012). Mining inter-organizational business process models from EDI messages: A case study from the automotive sector. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7328 LNCS, pp. 222–237). https://doi.org/10.1007/978-3-642-31095-9_15

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