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Scheller, F.: IAQ Report: Arbeitszufriedenheit in Deutschland sinkt langfristig. The application of the approach to this sophisticated scenario allows avoiding constraint violations and effectively managing shared resources, which contributes to reduce the length of patient stays in the hospital.Bohulskyy, Y.
We evaluate the approach by applying it to a particularly challenging healthcare process scenario, i.e., the diagnostic procedures required for treating patients with ovarian carcinoma in a Woman Hospital. To be able to support such scenarios, this article significantly extends our previous work by generating optimized enactment plans under a rolling planning horizon. Here, the process instances to be planned within a specific timeframe cannot be considered in isolation from the ones planned for future timeframes. However, this approach was not applicable to scenarios with uncertain demands in which the enactment of newly created process instances starts continuously over time, as in the considered healthcare scenarios. In previous work, we suggested a method for generating an optimized enactment plan for a given set of process instances created from a TConDec-R model. Consequently, advanced user support through optimized schedules is required when executing the instances of such models. Enacting business processes based on declarative process models, however, introduces a high complexity due to the required optimization of objective functions, the handling of various temporal constraints, the concurrent execution of multiple process instances, the management of cross-instance constraints, and complex resource allocations.
This motivated us to design TConDec-R, a declarative process modeling language enabling the specification of complex temporal constraints. When trying to model these processes with existing languages, we learned that none of the latter was able to fully address these needs. This work has been motivated by the needs we discovered when analyzing real-world processes from the healthcare domain that have revealed high flexibility demands and complex temporal constraints. Irene Barba, Andrés Jiménez-Ramírez, Manfred Reichert, Carmelo Del Valle, and Barbara Weber: Flexible runtime support of business processes under rolling planning horizons. Die Partner der drei Universiäten arbeiten seit Jahren im Bereich Business Process Management eng zusammen und freuen sich über eine weitere Auszeichnung ihrer wissenschaftlichen Arbeiten.
Schließlich wurde die Arbeit als zweitbeste Publikation des Jahres ausgezeichnet. Ihre gemeinsame Publikation zur flexiblen Laufzeitunterstützung von Geschäftsprozessen unter rollierenden Planungshorizonten, die vor kurzem in der renommierten KI-Zeitschrift Expert Systems with Applications (Impact Factor: 8.665) erschienen ist, wurde von der Fakultät für Mathematik der Universität Sevilla unter die Top 3 Publikationen des Jahres 2021 gewählt. Gallen) und Manfred Reichert (Universität Ulm). Große Freude bei Irene Barba, Andrés Jiménez-Ramírez, Carmelo Del Valle (alle Universität Sevilla), Barbara Weber (Universität St.
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