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Learning Business Process Models: A Case Study

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Business Process Management Workshops (BPM 2007)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4928))

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Abstract

Learning how to improve business processes is an evolutionary process that must be managed as other business processes (BPs) are managed in modern organizations. The proposed model – the learning process model (LPM) – suggests a closed-loop-model approach applied to a generic process model (GPM), which is a formal state-based and goal-based approach to process modeling. LPM strives to establish a learning process by (1) identifying goal and soft-goal states of the initial process model, (2) identifying exceptional states and incomplete state definitions at runtime, and (3) adapting automatically the process model according to the discovered states. Modifications provided by the learning process may be sufficient or may need to be complemented by non-automatic changes, when unacceptable business situations arise. The learning process also aims to adapt the current process model to possible technology, specific domain (e.g., clinical procedures at specific institutions), environmental requirements (e.g., regulations and policies), and process innovations. We demonstrate the application of LPM to a vaccination process.

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References

  1. vd Aalst, W.M.P., Guenther, C., Recker, J., Reichert, M.: Using Process Mining to Analyze and Improve Process Flexibility - Position Paper. In: BPMDS 2006. Proceedings 18th International Conference on Advanced Information Systems Engineering Workshops, pp. 168–177 (2006)

    Google Scholar 

  2. Reichert, M., Dadam, P.: ADEPT-flex: Supporting dynamic changes of workflows without losing control. JIIS 10(2), 93–129 (1998)

    Google Scholar 

  3. Rinderle, S., Reichert, M., Dadam, P.: Correctness criteria for dynamic changes in workflow systems - a survey. Data & knowledge Engineering 50, 9–34 (2004)

    Article  Google Scholar 

  4. Weske, M.: Formal foundation and conceptual design of dynamic adaptations in a workflow management system. In: Proceedings of the 34th Annual Hawaii International Conference on System Sciences, p. 7051 (2001)

    Google Scholar 

  5. Quaglini, S., et al.: Flexible Guideline-based Patient Careflow Systems. Artificial Intelligence in Medicine 22, 65–80 (2001)

    Article  Google Scholar 

  6. Peleg, M., Kantor, R.: Approaches for guideline versioning using GLIF. In: Proc. AMIA Symp., pp. 509–513 (2003)

    Google Scholar 

  7. Peleg, M., et al.: Comparing Computer-Interpretable Guideline Models: A Case-Study Approach. J. Am. Med. Inform. Assoc. 10(1), 52–68 (2003)

    Article  Google Scholar 

  8. Advani, A., Lo, K., Shahar, Y.: Intention-Based Critiquing of Guideline-Oriented Medical Care. In: Proc. AMIA Annual Symposium, pp. 483–487 (1998)

    Google Scholar 

  9. Soffer, P., Wand, Y.: On the Notion of Soft Goals in Business Process Modeling. Business Process Management Journal 11(6), 663–679 (2005)

    Article  Google Scholar 

  10. Soffer, P., Wand, Y.: Goal-driven Analysis of Process Model Validity. In: Persson, A., Stirna, J. (eds.) CAiSE 2004. LNCS, vol. 3084, pp. 521–535. Springer, Heidelberg (2004)

    Google Scholar 

  11. Bunge, M.: Treatise on Basic Philosophy: Ontology II: A World of Systems. Boston, Reidel, vol. 4 (1979)

    Google Scholar 

  12. Bunge, M.: Treatise on Basic Philosophy. In: Ontology 1: The furniture of the world, Boston, Reidel, vol. 3 (1977)

    Google Scholar 

  13. Wand, Y., Weber, R.: An Ontological Model of an Information System. IEEE Transactions on Software Engineering 16(11), 1282–1292 (1990)

    Article  Google Scholar 

  14. Wand, Y., Weber, R.: On the Ontological Expressiveness of Information Systems Analysis and Design Grammars. Journal of Information Systems 3, 217–237 (1993)

    Google Scholar 

  15. Oppenheim, A.V., Willsky, A.S.: Signals & Systems. Prentice Hall, Englewood Cliffs (1997)

    Google Scholar 

  16. Institute for Clinical systems Improvements. In: Immunization, 11th edn. (2006), http://www.icsi.org/Immunizations

  17. Weber, B., Reichert, M., Rinderle, S., Wild, W.: Towards a framework for the agile mining of business processes. In: Bussler, C.J., Haller, A. (eds.) BPM 2005. LNCS, vol. 3812, Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  18. vd Aalst, W.M.P., et al.: Workflow Mining: A Survey of Issues and Approaches. Data and Knowledge Engineering 47(2), 237–267 (2003)

    Article  Google Scholar 

  19. Guth, V., Oberweis, A.: Delta analysis of Petri-net based models for business processes. In: Proceedings of Applied Informatics, pp. 23–32 (1997)

    Google Scholar 

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Arthur ter Hofstede Boualem Benatallah Hye-Young Paik

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Ghattas, J., Soffer, P., Peleg, M. (2008). Learning Business Process Models: A Case Study. In: ter Hofstede, A., Benatallah, B., Paik, HY. (eds) Business Process Management Workshops. BPM 2007. Lecture Notes in Computer Science, vol 4928. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78238-4_39

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  • DOI: https://doi.org/10.1007/978-3-540-78238-4_39

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-78237-7

  • Online ISBN: 978-3-540-78238-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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