Extracting process-related information from ERP systems for process discovery

• Autorzy: Fliegner W.
• Języki publikacji: EN

Abstrakty

EN

This paper discusses various aspects that should be considered when defining and executing extraction process-related information from the source data (ERP system) to an event log. This includes trace and event selection, as well as important project decisions that should be made beforehand. The basic idea of a proposed approach is demonstrated by performing a case study which is related to a standard sales order processing, that is, business process from sales quotation through sales order and delivery to invoicing. For this processes we showed the characteristics of the event logs, and the models we can discover.

Słowa kluczowe

EN

process discovery; business process management; ERP systems

• Wydawca: Publishing House of Poznan University of Technology
• Czasopismo: Research in Logistics & Production
• Rocznik: 2014
• Tom: Vol. 4, No. 4
• Strony: 315--329
• Opis fizyczny: Bibliogr. 8 poz., rys., tab.

Twórcy

autor

Fliegner W.

• Poznan University of Economics, Poland

Bibliografia

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• 2. Ferreira D. R. & Gillblad D., (2009), “Discovering Process Models from Unlabelled Event Logs”, U. Dayal, J. Eder, J. Koehler, and H. Reijers, editors, Business Process Management (BPM 2009), volume 5701 of Lecture Notes in Computer Science, pages 143 - 158, Springer, Berlin.
• 3. Günther C. W., (2007), “Fuzzy Mining: Adaptive Process Simplification Based on MultiPerspective Metrics, G. Alonso, P. Dadam and M. Rosemann, editors, International Conference on Business Process Management (BPM 2007), volume 4714 of Lecture Notes in Computer Science, pages 328 - 343, Springer, Berlin.
• 4. Process Mining Manifesto, (2012), F. Daniel et al. (Eds.): BPM 2011 Workshops, Part I, LNBIP 99, pp. 169-194, Springer, Berlin.
• 5. van der Aalst W. M. P., (2004), “Business process management demystified: a tutorial on models, systems and standards for workflow management,” Lectures on Concurrency and Petri Nets, J. Desel, W. Reisig, and G. Rozenberg, Eds., vol. 3098 of Lecture Notes in Computer Science, pp. 1-65, Springer, Berlin.
• 6. van der Aalst W.M.P., (2011), Process Mining: Discovery, Conformance and Enhancement of Business Processes. Springer, Berlin.
• 7. van der Aalst W. M. P., ter Hofstede A. H. M. & Weske M., (2003), “Business process management: a survey,” Proceedings of the International Conference on Business Process Management (BPM’03), W. M. P. van der Aalst, A. H. M. ter Hofstede, and M. Weske, Eds., vol. 2678 of Lecture Notes in Computer Science, pp.1-12, Springer, Berlin.
• 8. Weske M., (2007), Business Process Management: Concepts, Languages, Architectures, Springer, Berlin.