Abstract
The increasing adoption of IoT in the context of Business Process Management (BPM) makes it necessary to efficiently coordinate concurrent processes and activities that involve physical resources. Traditional approaches to handling concurrency in BPM systems are not suitable for automating IoT-aware processes due to novel challenges raised by the IoT. We propose to handle concurrency in IoT based on object-centric processes implemented in the PHILharmonicFlows framework. The framework facilitates the data-driven modeling and coordination of object lifecycles and interactions, which are suitable to address concurrency in IoT-aware processes. The approach is demonstrated in a scenario from smart manufacturing. The results show that PHILharmonicFlows offers a flexible and comprehensible solution for coordinating concurrent activities in IoT settings with constrained physical resources.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
van der Aalst, W.M.: Business process management as the “killer app’’ for petri nets. Softw. Syst. Model. 14(2), 685–691 (2015)
van der Aalst, W.M., Ter Hofstede, A.H., Kiepuszewski, B., Barros, A.P.: Workflow patterns. Distrib. Parallel Databases 14, 5–51 (2003)
Andrews, K., Steinau, S., Reichert, M.: Enabling runtime flexibility in data-centric and data-driven process execution engines. Inf. Syst. 101, 101447 (2021)
Arnold, L., Breitmayer, M., Reichert, M.: Monitoring object-centric business processes: an empirical study. In: Nurcan, S., Opdahl, A.L., Mouratidis, H., Tsohou, A. (eds.) RCIS 2023, pp. 327–342. Springer, Cham (2023). https://doi.org/10.1007/978-3-031-33080-3_20
Bicevskis, J., Karnitis, G., Bicevska, Z., Oditis, I.: Analysis of concurrent processes in internet of things solutions. In: Ziemba, E., Chmielarz, W. (eds.) FedCSIS-AIST/ISM -2021. LNBIP, vol. 442, pp. 26–41. Springer, Cham (2022). https://doi.org/10.1007/978-3-030-98997-2_2
Brooks, C., et al.: A component architecture for the internet of things. Proc. IEEE 106(9), 1527–1542 (2018)
Derler, P., Lee, E.A., Sangiovanni Vincentelli, A.: Modeling cyber-physical systems. Proc. IEEE 100(1), 13–28 (2012)
Fdhila, W., Gall, M., Rinderle-Ma, S., Mangler, J., Indiono, C.: Classification and formalization of instance-spanning constraints in process-driven applications. In: La Rosa, M., Loos, P., Pastor, O. (eds.) BPM 2016. LNCS, vol. 9850, pp. 348–364. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-45348-4_20
Guabtni, A., Charoy, F., Godart, C.: Concurrency management in transactional web services coordination. In: Bressan, S., Küng, J., Wagner, R. (eds.) DEXA 2006. LNCS, vol. 4080, pp. 592–601. Springer, Heidelberg (2006). https://doi.org/10.1007/11827405_58
Janiesch, C., et al.: The internet of things meets business process management: a manifesto. IEEE Syst. Man Cybern. Mag. 6(4), 34–44 (2020)
Kirikkayis, Y., Gallik, F., Seiger, R., Reichert, M.: Integrating IoT-driven events into business processes. In: Cabanillas, C., Pérez, F. (eds.) CAiSE 2023, pp. 86–94. Springer, Cham (2023). https://doi.org/10.1007/978-3-031-34674-3_11
Kirikkayis, Y., Gallik, F., Winter, M., Reichert, M.: BPMNE4IoT: a framework for modeling, executing and monitoring IoT-driven processes. Future Internet 15(3), 90 (2023)
Künzle, V., Reichert, M.: Philharmonicflows: towards a framework for object-aware process management. J. Softw. Maint. Evol. Res. Pract. 23(4), 205–244 (2011)
Malburg, L., Klein, P., Bergmann, R.: Using semantic web services for AI-based research in industry 4.0. CoRR abs/2007.03580 (2020)
Mangler, J., Rinderle-Ma, S.: Rule-based synchronization of process activities. In: IEEE 13th Conference on Commerce and Enterprise Computing, pp. 121–128 (2011)
Mangler, J., et al.: Datastream XES extension: embedding IoT sensor data into extensible event stream logs. Future Internet 15(3), 109 (2023)
Marrella, A., Mecella, M., Sardina, S.: Supporting adaptiveness of cyber-physical processes through action-based formalisms. AI Commun. 31, 47–74 (2018)
Pufahl, L., Weske, M.: Batch activity: enhancing business process modeling and enactment with batch processing. Computing 101(12), 1909–1933 (2019)
Schulte, S., Janiesch, C., Venugopal, S., Weber, I., Hoenisch, P.: Elastic business process management: state of the art and open challenges for BPM in the cloud. Futur. Gener. Comput. Syst. 46, 36–50 (2015)
Seiger, R., Herrmann, S., Aßmann, U.: Self-healing for distributed workflows in the internet of things. In: 2017 IEEE ICSAW 2017, pp. 72–79 (2017)
Seiger, R., Malburg, L., Weber, B., Bergmann, R.: Integrating process management and event processing in smart factories: a systems architecture and use cases. J. Manuf. Syst. 63, 575–592 (2022)
Steinau, S., Andrews, K., Reichert, M.: The relational process structure. In: Krogstie, J., Reijers, H.A. (eds.) CAiSE 2018. LNCS, vol. 10816, pp. 53–67. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-91563-0_4
Steinau, S., Andrews, K., Reichert, M.: Enacting coordination processes. arXiv preprint arXiv:2012.08409 (2020)
Traganos, K., Spijkers, D., Grefen, P., Vanderfeesten, I.: Dynamic process synchronization using BPMN 2.0 to support buffering and (un)bundling in manufacturing. In: Fahland, D., Ghidini, C., Becker, J., Dumas, M. (eds.) BPM 2020. LNBIP, vol. 392, pp. 18–34. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-58638-6_2
Valckenaers, P., Van Brussel, H., Verstraete, P., Saint Germain, B.: Hadeli: schedule execution in autonomic manufacturing execution systems. J. Manuf. Syst. 26(2), 75–84 (2007)
Vanderfeesten, I., et al.: Developing process execution support for high-tech manufacturing processes. In: Empirical Studies on the Development of Executable Business Processes, pp. 113–142 (2019)
Vasilecas, O., Smaizys, A., Rima, A.: Business process modelling and simulation: hybrid method for concurrency aspect modelling. Baltic J. Mod. Comput. 1(3–4), 228–243 (2013)
Wu, X., Tian, S., Zhang, L.: The internet of things enabled shop floor scheduling and process control method based on petri nets. IEEE Access 7, 432–442 (2019)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Gallik, F., Kirikkayis, Y., Seiger, R., Reichert, M. (2024). An Object-Centric Approach to Handling Concurrency in IoT-Aware Processes. In: De Weerdt, J., Pufahl, L. (eds) Business Process Management Workshops. BPM 2023. Lecture Notes in Business Information Processing, vol 492. Springer, Cham. https://doi.org/10.1007/978-3-031-50974-2_9
Download citation
DOI: https://doi.org/10.1007/978-3-031-50974-2_9
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-50973-5
Online ISBN: 978-3-031-50974-2
eBook Packages: Computer ScienceComputer Science (R0)