Abstract
Computer simulation attempts to “mimic” real-life or hypothetical behavior on a computer to see how processes or systems can be improved and to predict their performance under different circumstances. Simulation has been successfully applied in many disciplines and is considered to be a relevant and highly applicable tool in Business Process Management (BPM). Unfortunately, in reality the use of simulation is limited. Few organizations actively use simulation. Even organizations that purchase simulation software (stand-alone or embedded in some BPM suite), typically fail to use it continuously over an extended period. This keynote paper highlights some of the problems causing the limited adoption of simulation. For example, simulation models tend to oversimplify the modeling of people working part-time on a process. Also simulation studies typically focus on the steady-state behavior of business processes while managers are more interested in short-term results (a “fast forward button” into the future) for operational decision making. This paper will point out innovative simulation approaches leveraging on recent breakthroughs in process mining.
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References
van der Aalst, W.M.P., ter Hofstede, A.H.M., Kiepuszewski, B., Barros, A.P.: Workflow Patterns. Distributed and Parallel Databases 14(1), 5–51 (2003)
van der Aalst, W.M.P., Nakatumba, J., Rozinat, A., Russell, N.: Business Process Simulation: How to get it right? In: vom Brocke, J., Rosemann, M. (eds.) Handbook on Business Process Management, International Handbooks on Information Systems, pp. 317–342. Springer, Berlin (2010)
van der Aalst, W.M.P., Pesic, M., Song, M.: Beyond Process Mining: From the Past to Present and Future. In: Pernici, B. (ed.) CAiSE 2010. LNCS, vol. 6051, pp. 38–52. Springer, Heidelberg (2010)
van der Aalst, W.M.P., Reijers, H.A., Weijters, A.J.M.M., van Dongen, B.F., de Medeiros, A.A.K., Song, M., Verbeek, H.M.W.: Business Process Mining: An Industrial Application. Information Systems 32(5), 713–732 (2007)
van der Aalst, W.M.P., Rosemann, M., Dumas, M.: Deadline-based Escalation in Process-Aware Information Systems. Decision Support Systems 43(2), 492–511 (2007)
van der Aalst, W.M.P., Schonenberg, M.H., Song, M.: Time Prediction Based on Process Mining. BPM Center Report BPM-09-04, BPMcenter.org (2009)
van der Aalst, W.M.P., Weijters, A.J.M.M., Maruster, L.: Workflow Mining: Discovering Process Models from Event Logs. IEEE Transactions on Knowledge and Data Engineering 16(9), 1128–1142 (2004)
van der Aalst, W.M.P., van Dongen, B., Günther, C.W., Rozinat, A., Verbeek, E., Weijters, T.: ProM: The Process Mining Toolkit. In: de Medeiros, A.K.A., Weber, B. (eds.) Business Process Management Demonstration Track (BPMDemos 2009). CEUR Workshop Proceedings, vol. 489, pp. 1–4. CEUR-WS.org (2009)
Buzacott, J.A.: Commonalities in Reengineerd Business Processes: Models and Issues. Management Science 42(5), 768–782 (1996)
Curbera, F., Doganata, Y., Martens, A., Mukhi, N., Slominski, A.: Business Provenance: A Technology to Increase Traceability of End-to-End Operations. In: Meersman, R., Tari, Z. (eds.) OTM 2008, Part I. LNCS, vol. 5331, pp. 100–119. Springer, Heidelberg (2008)
Davidson, S., Cohen-Boulakia, S., Eyal, A., Ludaescher, B., McPhillips, T., Bowers, S., Anand, M., Freire, J.: Provenance in Scientific Workflow Systems. Data Engineering Bulletin 30(4), 44–50 (2007)
van Dongen, B.F., Crooy, R.A., van der Aalst, W.M.P.: Cycle Time Prediction: When Will This Case Finally Be Finished? In: Meersman, R., Tari, Z. (eds.) OTM 2008, Part I. LNCS, vol. 5331, pp. 319–336. Springer, Heidelberg (2008)
ter Hofstede, A.H.M., van der Aalst, W.M.P., Adams, M., Russell, N.: Modern Business Process Automation: YAWL and its Support Environment. Springer, Berlin (2010)
de Medeiros, A.A.K., van der Aalst, W.M.P.: Process Mining towards Semantics. In: Dillon, T.S., Chang, E., Meersman, R., Sycara, K. (eds.) Advances in Web Semantics I. LNCS, vol. 4891, pp. 35–80. Springer, Heidelberg (2008)
Nakatumba, J., van der Aalst, W.M.P.: Analyzing Resource Behavior Using Process Mining. In: Rinderle-Ma, S., Sadiq, S., Leymann, F. (eds.) BPM 2009. LNBIP, vol. 43, pp. 69–80. Springer, Berlin (2010)
Reijers, H.A., van der Aalst, W.M.P.: Short-Term Simulation: Bridging the Gap between Operational Control and Strategic Decision Making. In: Hamza, M.H. (ed.) Proceedings of the IASTED International Conference on Modelling and Simulation, pp. 417–421. IASTED/Acta Press, Anaheim, USA (1999)
Reijers, H.A., van der Aalst, W.M.P.: The Effectiveness of Workflow Management Systems: Predictions and Lessons Learned. International Journal of Information Management 25(5), 458–472 (2005)
Rozinat, A., van der Aalst, W.M.P.: Conformance Checking of Processes Based on Monitoring Real Behavior. Information Systems 33(1), 64–95 (2008)
Rozinat, A., Mans, R.S., Song, M., van der Aalst, W.M.P.: Discovering Simulation Models. Information Systems 34(3), 305–327 (2009)
Rozinat, A., Wynn, M., van der Aalst, W.M.P., ter Hofstede, A.H.M., Fidge, C.: Workflow Simulation for Operational Decision Support. Data and Knowledge Engineering 68(9), 834–850 (2009)
Russell, N., van der Aalst, W.M.P., ter Hofstede, A.H.M., Edmond, D.: Workflow Resource Patterns: Identification, Representation and Tool Support. In: Pastor, Ó., Falcão e Cunha, J. (eds.) CAiSE 2005. LNCS, vol. 3520, pp. 216–232. Springer, Heidelberg (2005)
Schonenberg, H., Weber, B., van Dongen, B.F., van der Aalst, W.M.P.: Supporting Flexible Processes Through Recommendations Based on History. In: Dumas, M., Reichert, M., Shan, M.-C. (eds.) BPM 2008. LNCS, vol. 5240, pp. 51–66. Springer, Heidelberg (2008)
Wickens, C.D.: Engineering Psychology and Human Performance. Harper, New York (1992)
Wynn, M., Rozinat, A., van der Aalst, W.M.P., ter Hofstede, A.H.M., Fidge, C.: Chapter 17: Process Mining and Simulation. In: Modern Business Process Automation: YAWL and its Support Environment, pp. 437–457. Springer, Berlin (2010)
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van der Aalst, W.M.P. (2010). Business Process Simulation Revisited. In: Barjis, J. (eds) Enterprise and Organizational Modeling and Simulation. EOMAS 2010. Lecture Notes in Business Information Processing, vol 63. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15723-3_1
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DOI: https://doi.org/10.1007/978-3-642-15723-3_1
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