Abstract
Timely insight into manufacturing processes events can help in improving its efficiency and agility. Events are state change in process execution that can be not only monitored but correlated and managed in order to take immediate action. In this paper a new approach to develop event driven manufacturing process management solutions is presented. The event-driven architecture is considered as the basis to design a unified modeling methodology which enables near real time event stream processing. The approach adapts Business Process Management to manufacturing at the different automation levels (ISA-95 levels 2, 3 and 4). The key issue is to model the logic of complex events in manufacturing processes. The use of BPMN 2.0 is proposed as the standardized modeling language. Through this notation a standardized definition of business logic for monitoring and controlling manufacturing operations can be developed, representing the knowledge to apply in order to increase process performance.
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References
Zhang, Y.H., Dai, Q.Y., Zhong, R.Y.: An Extensible Event-Driven Manufacturing Management with Complex Event Processing Approach. Int. Journal of Control and Automation 2(3), 1–12 (2009)
Walzer, K., Rode, J., Wünsch, D., Groch, M.: Event-Driven Manufacturing: Unified Management of Primitive and Complex Events for Manufacturing Monitoring and Control. In: Workshop on Factory Communication Systems (2008)
Janiesch, C., Matzner, M., Müller, O.: A Blueprint for Event-Driven Business Activity Management. In: Rinderle-Ma, S., Toumani, F., Wolf, K. (eds.) BPM 2011. LNCS, vol. 6896, pp. 17–28. Springer, Heidelberg (2011)
The Instrumentation, Systems and Automation Society. ANSI/ISA-95.00.01-2000: Enterprise Control System Integration (2000)
von Ammon, R.: Event-Driven Business Process Management. In: Liu, L., Özsu, M.T. (eds.) Encyclopedia of Database Systems. Springer, Heidelberg (2008)
von Ammon, R., Emmersberger, C., Springer, F.: Event-Driven Business Process Management and its Practical Application Taking the Example of DHL. In: Future Internet Symposium, Vienna (2008)
von Ammon, R., Emmersberger, C., Greiner, T., Springer, F., Wolff, C.: Event-Driven Business Process Management. In: Second International Conference on Distributed Event-Based Systems, DEBS 2008 (2008)
IDEF, IDEF Family of Methods (2012), http://www.idef.com
Object Management Group, Unified Modeling Language (UML), OMG (2012), http://www.uml.org
Object Management Group, Business Process Modeling Notation (BPMN), OMG. Tech. Rep. 2011-01-03 (2012), http://www.omg.org/spec/BPMN/2.0/PDF
Luckham, D.: The Power of Events: An Introduction to Complex Event Processing in Distributed Enterprise Systems. Addison-Wesley, Munich (2007)
Luckham, D., Frasca, B.: Complex Event Processing in Distributed System. Program Analysis and Verification Group Computer Systems Lab Stanford University (1998)
Wu, E., Diao, Y., Rizvi, S.: High-performance Complex Event Processing over streams. In: Proc. Int. ACM Conf. on Management of Data (SIGMOD), pp. 407–418. ACM (2006)
Chandrasekaran, S., et al.: TelegraphCQ: Continuous Dataflow Processing for an Uncertain World. In: Proc. of the 2003 Conf. on Innovative Data Systems Research, pp. 269–280 (2003)
EsperTech Inc., Event Stream and Complex Event Processing platform (ESPER) (2012), http://www.esper.codehaus.org
JBoss.org, Drools (2012), http://www.jboss.org/drools
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)
Grigori, D., Casati, F., Castellanos, M., Dayal, U., Sayal, M., Shan, M.C.: Business Process Intelligence. Journal of Computers in Industry 53(3), 321–343 (2004)
El Akkaoui, Z., Zimányi, E.: Defining ETL Workflows using BPMN and BPEL. In: Proceedings of the ACM Twelfth International Workshop on Data Warehousing and OLAP (DOLAP), pp. 41–48 (2009)
Dayal, U., Wilkinson, K., Simitsis, A., Castellanos, M.: Business Processes Meet Operational Business Intelligence. IEEE Data Eng. Bull. 32(3), 35–41 (2009)
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)
Decker, G., Grosskopf, A., Barros, A.: A Graphical Notation for Modeling Complex Events in Business Processes. In: 11th IEEE International Enterprise Distributed Object Computing Conference, pp. 27–36 (2007)
Friedenstab, J., Janiesch, C., Matzner, M., Müller, O.: Extending BPMN for Business Activity Monitoring. In: Paper Presented at the Hawai’i Int. Conf. on System Sciences, Hawai’i, USA (2012)
Rosselli, F.: FuTMaN: The Future of Manufacturing in Europe 2015-2020. The challenge for sustainability. In: Final Report for the European Commission. Directorate-General Joint Research Center (2003)
European Commission. Manufuture: A vision for 2020, Office for Official Publications of the European Communities (2004)
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Estruch, A., Heredia Álvaro, J.A. (2012). Event-Driven Manufacturing Process Management Approach. In: Barros, A., Gal, A., Kindler, E. (eds) Business Process Management. BPM 2012. Lecture Notes in Computer Science, vol 7481. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32885-5_9
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DOI: https://doi.org/10.1007/978-3-642-32885-5_9
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