Abstract
Inter-organizational collaborative business processes involve at least two participants from different organizations who interact with each other. Discovering and analyzing this kind of process adds several challenges to process mining initiatives, mainly due to traces spread across organizations with heterogeneous infrastructures, technologies, and data models. This paper presents a process mining approach for discovering inter-organizational collaborative business processes, which takes as input an extended XES event log with information on participants and messages exchanged to discover a BPMN 2.0 collaboration process model and corresponding choreography. We evaluated our approach using collaborative business process data from selected related work, discussing and comparing our results within different scenarios.
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References
van der Aalst, W.M.P.: Process Mining - Data Science in Action, 2nd edn. Springer, Heidelberg (2016). https://doi.org/10.1007/978-3-662-49851-4
Andrade, D., Delgado, A., Calegari, D.: BPMN 2.0 choreo.process discovery ProM plugin (2023). https://gitlab.fing.edu.uy/open-coal/bpmnchoreographypm
Augusto, A., Conforti, R., Dumas, M., La Rosa, M., Bruno, G.: Automated discovery of structured process models: discover structured vs. discover and structure. In: Comyn-Wattiau, I., Tanaka, K., Song, I.-Y., Yamamoto, S., Saeki, M. (eds.) ER 2016. LNCS, vol. 9974, pp. 313–329. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-46397-1_25
Augusto, A., et al.: Automated discovery of process models from event logs: review and benchmark. IEEE Trans. Know. and Data Eng. 31(4), 686–705 (2019)
Claes, J., Poels, G.: Merging event logs for process mining: a rule based merging method and rule suggestion algorithm. Expert Syst. Appl. 41(16), 7291–7306 (2014)
Corradini, F., Re, B., Rossi, L., Tiezzi, F.: A technique for collaboration discovery. In: Augusto, A., Gill, A., Bork, D., Nurcan, S., Reinhartz-Berger, I., Schmidt, R. (eds.) BPMDS EMMSAD 2022. LNBIP, vol. 450, pp. 63–78. Springer, Cham (2022). https://doi.org/10.1007/978-3-031-07475-2_5
Engel, R., van der Aalst, W.M.P., Zapletal, M., Pichler, C., Werthner, H.: Mining inter-organizational business process models from EDI messages: a case study from the automotive sector. In: Ralyté, J., Franch, X., Brinkkemper, S., Wrycza, S. (eds.) CAiSE 2012. LNCS, vol. 7328, pp. 222–237. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-31095-9_15
González, L., Delgado, A.: Compliance requirements model for collaborative business process and evaluation with process mining. In: XLVII Latin American Computing Conference (CLEI). IEEE (2021)
Hernandez-Resendiz, J.D., Tello-Leal, E., Marin-Castro, H.M., Ramirez-Alcocer, U.M., Mata-Torres, J.A.: Merging event logs for inter-organizational process mining. In: Zapata-Cortes, J.A., Alor-Hernández, G., Sánchez-Ramírez, C., García-Alcaraz, J.L. (eds.) New Perspectives on Enterprise Decision-Making Applying Artificial Intelligence Techniques. SCI, vol. 966, pp. 3–26. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-71115-3_1
IEEE: IEEE standard for extensible event stream (XES) for achieving interoperability in event logs and event streams. IEEE Std 1849-2016, pp. 1–50 (2016)
Liu, C., Li, H., Zeng, Q., Lu, T., Li, C.: Cross-organization emergency response process mining: an approach based on petri nets. Math. Probl. Eng. 2020, 1–12 (2020). https://doi.org/10.1155/2020/8836007
Peña, L., Delgado, A., Calegari, D.: BPMN 2.0 collab. Process discovery ProM plugin (2022). https://gitlab.fing.edu.uy/open-coal/bpmncollaborativepm
Weske, M.: Business Process Management - Concepts, Languages, Architectures, 3rd edn. Springer, Heidelberg (2019). https://doi.org/10.1007/978-3-662-59432-2
Acknowledgment
Supported by project “Minería de procesos y datos para la mejora de procesos colaborativos aplicada a e-Government” funded by Agencia Nacional de Investigación e Innovación (ANII), Fondo María Viñas (FMV) “Proyecto ANII N\(^{\circ }\) FMV_1_2021_1_167483”, Uruguay.
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Peña, L., Andrade, D., Delgado, A., Calegari, D. (2024). An Approach for Discovering Inter-organizational Collaborative Business Processes in BPMN 2.0. In: De Smedt, J., Soffer, P. (eds) Process Mining Workshops. ICPM 2023. Lecture Notes in Business Information Processing, vol 503. Springer, Cham. https://doi.org/10.1007/978-3-031-56107-8_37
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