Abstract
There is a separate problem area for process control in a process instance with many human decision points, uncertainties, possibilities for error and changes due to customer requirements. This is the case, for example, with production and logistics processes, but also with the onboarding of employees, customer complaints during order processing or credit checks.
The term operational performance support describes the operational support of individual process instances during their execution. The aim is to support the instances during their processing (pre mortem) with largely automated help in real-time. This is implemented by assistance systems, intelligent algorithms or artificial intelligence based on real-time data.
A logistic example showing the reaction occurrence of complex events is used to demonstrate the case-dependent processes.
Statements that are very specific or refer to specific systems are marked in italics. Readers who are more interested in an overview can skip these parts without losing the content guide.
The following figure establishes the connection to the lifecycle in Fig. 1.9.
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References
Goel, A., & Agarwal, R. (2021). Operation research. Technical publications.
imc (2017a). imc Process Guide – Produktpräsentation. https://www.im-c.com. Accessed 22 May 2018.
imc (2017b). Informelles Lernen und Electronic Performance Support – So können Sie Ihre internen Helpdesk-Kosten um 40 % senken. https://www.im-c.com. Accessed 22 May 2018.
imc (2017c). AR/VR Training – Zum Einsatz von Augmented & Virtual Reality im Corporate Training. https://www.im-c.com. Accessed 22 May 2018.
Koop, A., & Moock, H. (2018). Lineare Optimierung – eine anwendungsorientierte Einführung in Operations Research. Springer Spektrum.
Linn, C., Bender, S., Prosser, J., Schmitt, K., & Werth, D. (2017). Virtual remote inspection—A new concept for virtual reality enhanced real-time maintenance. In 2017 23rd International Conference on Virtual System & Multimedia (VSMM) (pp. 1–6). IEEE. https://doi.org/10.1109/VSMM.2017.8346304.
Nickel, S., Rebennack, S., Stein, O., & Waldmann, K. H. (2022). Operations research. Berlin, Heidelberg: Springer.
Soffer, P., Hinze, A., Koschmider, A., Ziekow, H., Di Ciccio, C., Koldehofe, B., Kopp, O., Jacobsen, A., Sürmeli, J., & Song, W. (2017). From event streams to process models and back: Challenges and opportunities. Information Systems. https://doi.org/10.1016/j.is.2017.11.002.
van der Aalst, W. M. P. (2011). Process mining – data science in action (2nd edn.). Heidelberg: Springer.
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Scheer, AW. (2024). Execution and Operational Performance Support (Case Management). In: The Composable Enterprise: Agile, Flexible, Innovative. Springer Vieweg, Wiesbaden. https://doi.org/10.1007/978-3-658-43089-4_6
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DOI: https://doi.org/10.1007/978-3-658-43089-4_6
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