Abstract
In the context of Industry 4.0, smart factories enable a new level of highly individualized and very efficient production, driven by highly automated processes and connected Industrial Internet of Things (IIoT) devices. Yet the IIoT process context, crucial for operational process enactment, cannot be readily represented in processes as currently modeled. Despite automation progress, manual tasks performed by humans (such as maintenance) remain, and while complicated tasks can be supported by Augmented Reality (AR) devices, they remain insufficiently integrated into global production processes. To seamlessly integrate process automation, IIoT context, and AR, this paper contributes BPMN-CARX, a Context and Augmented Reality eXtension (CARX) for BPMN (Business Process Model and Notation) and the CARX Framework, which enables AR and IIoT context integration with existing Business Process Management Systems (BPMSs). An Industry 4.0 case study demonstrates its feasibility and applicability.
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References
Anylogic. https://www.anylogic.de. Accessed June 2021
Camunda. https://camunda.com. Accessed May 2021
Unity AR Foundation. https://unity.com/unity/features/arfoundation. Accessed May 2021
Business Process Model and Notation. Object Management Group (2013). https://www.omg.org/spec/BPMN/2.0.2/PDF
Dörndorfer, J., Hopfensperger, F., Seel, C.: The SenSoMod-modeler - a model-driven architecture approach for mobile context-aware business applications. In: Cappiello, C., Ruiz, M. (eds.) CAiSE 2019. LNBIP, vol. 350, pp. 75–86. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-21297-1_7
Enste, U., Mahnke, W.: OPC unified architecture. Automatisierungstechnik 59(7), 397–404 (2011). https://doi.org/10.1524/auto.2011.0934
Graja, I., Kallel, S., Guermouche, N., Kacem, A.H.: BPMN4CPS: a BPMN extension for modeling cyber-physical systems. In: 2016 IEEE 25th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE), pp. 152–157 (2016). https://doi.org/10.1109/WETICE.2016.41
Grambow, G., Oberhauser, R., Reichert, M.: Enabling automatic process-aware collaboration support in software engineering projects. In: Escalona, M.J., Cordeiro, J., Shishkov, B. (eds.) ICSOFT 2011. CCIS, vol. 303, pp. 73–88. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-36177-7_5
Hasić, F., Asensio, E.S.: Executing IoT processes in BPMN 2.0: current support and remaining challenges. In: International Conference on Research Challenges in Information Science (RCIS), vol. 13, pp. 1–6 (2019). https://doi.org/10.1109/RCIS.2019.8876998
Kaplan-Moss, J., Holovaty, A.: The Definitive Guide to Django, 2 edn. Apress (2009). https://doi.org/10.1007/978-1-4302-0331-5
Oberhauser, R., Pogolski, C., Matic, A.: VR-BPMN: visualizing BPMN models in virtual reality. In: Shishkov, B. (ed.) BMSD 2018. LNBIP, vol. 319, pp. 83–97. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-94214-8_6
Poppe, E., Brown, R., Johnson, D., Recker, J.: A prototype augmented reality collaborative process modelling tool. In: Proceedings of the Demo Track of the Nineth Conference on BPM, vol. 820. CEUR-WS.org (2011)
Proctor, M.: Drools: a rule engine for complex event processing. In: Schürr, A., Varró, D., Varró, G. (eds.) AGTIVE 2011. LNCS, vol. 7233, p. 2. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-34176-2_2
Pryss, R., Reichert, M., Bachmeier, A., Albach, J.: BPM to go: supporting business processes in a mobile and sensing world. In: BPM Everywhere, pp. 167–182. Future Strategies Inc. (2015). http://dbis.eprints.uni-ulm.de/1153/
Reichert, M.: Enabling flexible and robust business process automation for the agile enterprise. In: The Essence of Software Engineering, pp. 203–220. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-73897-0_12
Schmidbauer, C., Schlund, S., Ionescu, T.B., Hader, B.: Adaptive task sharing in human-robot interaction in assembly. In: 2020 IEEE International Conference on Industrial Engineering and Engineering Management, pp. 546–550 (2020). https://doi.org/10.1109/IEEM45057.2020.9309971
Schönig, S., Ackermann, L., Jablonski, S., Ermer, A.: IoT meets BPM: a bidirectional communication architecture for IoT-aware process execution. Softw. Syst. Model. 19(6), 1443–1459 (2020). https://doi.org/10.1007/s10270-020-00785-7
Seiger, R., Kühn, R., Korzetz, M., Aßmann, U.: HoloFlows: modelling of processes for the Internet of Things in mixed reality. Softw. Syst. Model. 20(5), 1465–1489 (2021). https://doi.org/10.1007/s10270-020-00859-6
Vogel, J., Zobel, B., Jannaber, S., Thomas, O.: BPMN4SGA: a BPMN extension for smart glasses applications to enable process visualisations. In: Workshops der INFORMATIK 2018 - Architekturen, Prozesse, Sicherheit und Nachhaltigkeit, pp. 259–273. Köllen Druck+Verlag GmbH, Bonn (2018)
Acknowledgements
The authors thank: Felix Gräber for his advice and assistance with the models and AnyLogic for their simulation suite. Partial funding for this work: PARADIGMS project by “ZIM”, a funding program of the Federal Ministry for Economic Affairs and Energy of the Federal Republic of Germany.
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Grambow, G., Hieber, D., Oberhauser, R., Pogolski, C. (2022). A Context and Augmented Reality BPMN and BPMS Extension for Industrial Internet of Things Processes. In: Marrella, A., Weber, B. (eds) Business Process Management Workshops. BPM 2021. Lecture Notes in Business Information Processing, vol 436. Springer, Cham. https://doi.org/10.1007/978-3-030-94343-1_29
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