Abstract
Information sources providing real-time status of physical objects have drastically increased in recent times. So far, research in business process monitoring has mainly focused on checking the completion of tasks. However, the availability of real-time information allows for a more detailed tracking of individual business tasks. This paper describes a framework for controlling the safe execution of tasks and signalling possible misbehaviours at runtime. It outlines a real use case on smart logistics and the preliminary results of its application.
The research leading to these results has received funding from the European Union’s Seventh Framework Programme (FP7/2007-2013) under grant agreement 318275 (GET Service).
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Appel, S., Frischbier, S., Freudenreich, T., Buchmann, A.: Event Stream Processing Units in Business Processes. In: Daniel, F., Wang, J., Weber, B. (eds.) BPM 2013. LNCS, vol. 8094, pp. 187–202. Springer, Heidelberg (2013)
Awad, A., Decker, G., Weske, M.: Efficient Compliance Checking Using BPMN-Q and Temporal Logic. In: Dumas, M., Reichert, M., Shan, M.-C. (eds.) BPM 2008. LNCS, vol. 5240, pp. 326–341. Springer, Heidelberg (2008)
Backmann, M., Baumgrass, A., Herzberg, N., Meyer, A., Weske, M.: Model-Driven Event Query Generation for Business Process Monitoring. In: Lomuscio, A.R., Nepal, S., Patrizi, F., Benatallah, B., Brandić, I. (eds.) ICSOC 2013. LNCS, vol. 8377, pp. 406–418. Springer, Heidelberg (2014)
Barros, A., Decker, G., Grosskopf, A.: Complex Events in Business Processes. In: Abramowicz, W. (ed.) BIS 2007. LNCS, vol. 4439, pp. 29–40. Springer, Heidelberg (2007)
Birukou, A., et al.: An Integrated Solution for Runtime Compliance Governance in SOA. In: Maglio, P.P., Weske, M., Yang, J., Fantinato, M. (eds.) ICSOC 2010. LNCS, vol. 6470, pp. 706–707. Springer, Heidelberg (2010)
Cabanillas, C., Baumgrass, A., Mendling, J., Rogetzer, P., Bellovoda, B.: Towards the Enhancement of Business Process Monitoring for Complex Logistics Chains. In: Lohmann, N., et al. (eds.) BPM 2013 Workshops. LNBIP, vol. 171, pp. 305–317. Springer, Heidelberg (2013)
Cortes, C., Vapnik, V.: Support-Vector Networks. Machine Learning 20(3), 273–297 (1995)
Dahanayake, A., Welke, R., Cavalheiro, G.: Improving the Understanding of BAM Technology for Real-Time Decision Support. IJBISÂ 7(1) (December 2011)
Decker, G., Großkopf, A., Barros, A.P.: A Graphical Notation for Modeling Complex Events in Business Processes. In: EDOC, pp. 27–36. IEEE Computer Society (2007)
Herzberg, N., Meyer, A., Weske, M.: An Event Processing Platform for Business Process Management. In: Gasevic, D., Hatala, M., Nezhad, H.R.M., Reichert, M. (eds.) EDOC, pp. 107–116. IEEE (2013)
Kunz, S., Fickinger, T., Prescher, J., Spengler, K.: Managing Complex Event Processes with Business Process Modeling Notation. In: Mendling, J., Weidlich, M., Weske, M. (eds.) BPMN 2010. LNBIP, vol. 67, pp. 78–90. Springer, Heidelberg (2010)
Liao, F., Wang, J.L., Yang, G.-H.: Reliable Robust Flight Tracking Control: an LMI Approach. IEEE Trans. Control Systems Technology 10(1), 76–89 (2002)
Luckham, D.C.: The Power of Events: An Introduction to Complex Event Processing in Distributed Enterprise Systems. Addison-Wesley (2001)
Mitchell, T.M.: Machine Learning. McGraw-Hill (1997)
Montali, M., Maggi, F.M., Chesani, F., Mello, P., van der Aalst, W.M.P.: Monitoring Business Constraints with the Event Calculus. ACM TISTÂ 5(1) (2013)
Pang, L.X., Chawla, S., Liu, W., Zheng, Y.: On Detection of Emerging Anomalous Traffic Patterns Using GPS Data. Data & Knowledge Engineering (2013)
Thullner, R., Rozsnyai, S., Schiefer, J., Obweger, H., Suntinger, M.: Proactive Business Process Compliance Monitoring with Event-Based Systems. In: EDOC Workshops. EDOCW 2011, pp. 429–437. IEEE Computer Society, Washington, DC (2011)
van der Aalst, W.M.P., Schonenberg, M.H., Song, M.: Time Prediction Based on Process Mining. Inf. Syst. 36(2) (2011)
Vapnik, V.: Estimation of Dependences Based on Empirical Data. Springer (1982)
Weidlich, M., Ziekow, H., Mendling, J., Günther, O., Weske, M., Desai, N.: Event-Based Monitoring of Process Execution Violations. In: Rinderle-Ma, S., Toumani, F., Wolf, K. (eds.) BPM 2011. LNCS, vol. 6896, pp. 182–198. Springer, Heidelberg (2011)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Cabanillas, C., Di Ciccio, C., Mendling, J., Baumgrass, A. (2014). Predictive Task Monitoring for Business Processes. In: Sadiq, S., Soffer, P., Völzer, H. (eds) Business Process Management. BPM 2014. Lecture Notes in Computer Science, vol 8659. Springer, Cham. https://doi.org/10.1007/978-3-319-10172-9_31
Download citation
DOI: https://doi.org/10.1007/978-3-319-10172-9_31
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-10171-2
Online ISBN: 978-3-319-10172-9
eBook Packages: Computer ScienceComputer Science (R0)