Abstract
Business process management has focused on discrete processes so far, i.e., processes with identifiable distinct outcomes (e.g., in manufacturing). By contrast, processes known from process and control engineering, e.g., chemical synthesis, have not been fully considered yet. Such processes can be discrete or continuous, i.e., require real-time control systems with constant inlet and outlet flows as well as temporally stable conditions. This paper models continuous processes with existing and standardized means, i.e., BPMN, and provides an exact definition of the parameters and loop conditions. The capabilities of BPMN for modeling continuous processes are analyzed and necessary extensions are provided. The concepts are applied to several real-world use cases from process and control engineering.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
Notes
- 1.
BPMN: Business Process Modeling and Notation, www.bpmn-standard.org.
- 2.
References
Business Process Model and Notation (BPMN), Version 2.0, p. 538
Bamberg, A., Urbas, L., Bröcker, S., Kockmann, N., Bortz, M.: What makes the digital twin an ingenious companion? Chemie Ing. Technik 92(3), 192–198 (2020)
Chindris, G., Muresan, M.: Deploying simulink models into system-on-chip structures. In: Electronics Technology, pp. 313–317. IEEE (2006)
Hertwig, K., Martens, L.: Chemische Verfahrenstechnik: Berechnung. Auslegung und Betrieb chemischer Reaktoren, Oldenbourg (2007)
Khare, Y.B., Singh, Y.: PID control of heat exchanger system. Int. J. Comput. Appl. 8(6), 0975–8887 (2010)
Lanz, A., Reichert, M., Weber, B.: Process time patterns: a formal foundation. Inf. Syst. 57, 38–68 (2016)
Luyben, W.L.: Distillation Design and Control Using Aspen Simulation. Wiley, Hoboken (2013)
Mangler, J., Pauker, F., Rinderle-Ma, S., Ehrendorfer, M.: centurio. work - industry 4.0 integration assessment and evolution. In: BPM Ind. Forum, pp. 106–117 (2019)
Pfeiffer, B.M., Oppelt, M., Leingang, C.: Evolution of a digital twin for a steam cracker. In: Emerging Technologies and Factory Automation, pp. 467–474 (2019)
Russell, N., Hofstede, ter, A., Aalst, van der, W., Mulyar, N.: Workflow control-flow patterns : a revised view. BPM reports, BPMcenter.org (2006)
Schmid, D., Kaufmann, H., Pflug, A., Strobel, P., Baur, J.: Automatisierungstechnik - Grundlagen, Komponenten, Systeme. Europa Lehrmittel, Nourney, Vollmer GmbH & Co. KG (2015)
Tröster, F.: Steuerungs- und Regelungstechnik für Ingenieure. Oldenbourg Lehrbücher für Ingenieure, Oldenbourg
Yang, C.H., Vyatkin, V.: Transformation of Simulink models to IEC 61499 function blocks for verification of distributed control systems. Control Eng. Pract. 20(12), 1259–1269 (2012)
Acknowledgements
This work has been partially supported and funded by the Austrian Research Promotion Agency (FFG) via the Austrian Competence Center for Digital Production (CDP) under the contract number 854187.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this paper
Cite this paper
Strutzenberger, D.V., Mangler, J., Rinderle-Ma, S. (2021). BPMN Extensions for Modeling Continuous Processes. In: Nurcan, S., Korthaus, A. (eds) Intelligent Information Systems. CAiSE 2021. Lecture Notes in Business Information Processing, vol 424. Springer, Cham. https://doi.org/10.1007/978-3-030-79108-7_3
Download citation
DOI: https://doi.org/10.1007/978-3-030-79108-7_3
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-79107-0
Online ISBN: 978-3-030-79108-7
eBook Packages: Computer ScienceComputer Science (R0)