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Flexible runtime support of business processes under rolling planning horizons

Barba, Irene and Jimenez-Ramirez, Andres and Reichert, Manfred and Valle, Carmelo Del and Weber, Barbara (2021) Flexible runtime support of business processes under rolling planning horizons. Expert Systems with Applications, 177 . p. 114857.

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Official URL: https://doi.org/10.1016/j.eswa.2021.114857

Abstract

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. When trying to model these processes with existing languages, we learned that none of the latter was able to fully address these needs. This motivated us to design TConDec-R, a declarative process modeling language enabling the specification of complex temporal constraints. 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 crossinstance constraints, and complex resource allocations. Consequently, advanced user support through optimized schedules is required when executing the instances of such models. 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. 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. Here, the process instances to be planned within a specific timeframe cannot be considered in isolation from the ones planned for future timeframes. To be able to support such scenarios, this article significantly extends our previous work by generating optimized enactment plans under a rolling planning horizon. 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. 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.

Item Type:Article
Subjects:DBIS Research > Publications
ID Code:2061
Deposited By: Prof. Dr. Manfred Reichert
BibTex Export:BibTeX
Deposited On:06 Oct 2021 16:39
Last Modified:06 Oct 2021 16:39

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