Abstract
With the specification of effective and efficient processes, the foundation for their implementation has been laid. Following these preparatory activities, we now deal with the implementation of process specifications in an execution environment and the handling of process instances in live operation. The implementation of a process specification as an executable process comprises the activity bundles organizational implementation, IT implementation and operation including monitoring. Figure 7.1 shows the classification of these activities in the process management model.
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References
Bonitasoft Documentation. Accessed February 2018, from https://documentation.bonitasoft.com/bonita/7.6/_application-and-process-designLast
Lawall, A., Schaller, T., & Reichelt, D. (2013). Integration of dynamic role resolution within the S-BPM approach; S-BPM ONE-Running processes. In 5th International Conference, S-BPM ONE 2013; CCIS. Berlin: Springer.
Rademakers, T. (2012). Activity in action. Maning Publications.
Activity Documentation. Last accessed February 2018, from https://www.activiti.org/docs
AKKA Documentation. Last accessed February 2018, from https://akka.io/docs/
Newman, S. (2015). Building microservices. O’Reilly.
Bonér, J., Farley, D., Kuhn, R., & Thompson, M. The ReactiveManifesto. Last accessed February 2018, from https://www.reactivemanifesto.org/
Hollingsworth, D. The workflow reference model document number TC00-1003; Workflow management coalition. http://www.wfmc.org/standards/docs/tc003v11.pdf
Fleischmann, A., et al. (2017). An Overview to S-BPM oriented Tool Suites. In M. Mühlhäuser & C. Zehbold (Eds.), S-BPM ONE - 9th International Conference. ACM. ISBN 978-1-4503-4503-1.
Schmidt, W. (2013). Business activity monitoring. In P. Rausch, A. Sheta, & A. Ayesh (Eds.), Business intelligence and performance management – Theory, systems and industrial applications (pp. 229–242). London: Springer.
ibid., p. 231.
van der Aalst, W. (2016). Process mining – Data science in action. Berlin: Springer.
Veit, F., Geyer-Klingeberg, J., Madrzak, J., Haug, M., & Thomson, J. P. (2017). The proactive insights engine: Process mining meets machine learning and artificial intelligence. In Business process management conference 2017. Barcelona.
Geyer-Klingeberg, J., Nakladal, N., Baldauf, F., & Veit, F. (2018). Process mining and robotic process automation: A perfect match. In Casati, F. et al., Proceedings of the dissertation award, demonstration, and industrial track at BPM 2018. Last accessed on June 2, 2019, from http://ceur-ws.org/Vol-2196/BPM_2018_paper_28.pdf
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Fleischmann, A., Oppl, S., Schmidt, W., Stary, C. (2020). Realization. In: Contextual Process Digitalization. Springer, Cham. https://doi.org/10.1007/978-3-030-38300-8_7
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DOI: https://doi.org/10.1007/978-3-030-38300-8_7
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