Supporting the Optimized Execution of Business Processes Through Recommendations

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Provided by: University of Indianapolis
Topic: Big Data
Format: PDF
In order to be able to flexibly adjust a company's Business Processes (BPs) there is an increasing interest in flexible Process-Aware Information Systems (PAISs). This increasing flexibility, however, typically implies decreased user guidance by the PAIS and thus poses additional challenges to its users. This paper proposes a recommendation system which assists users during process execution to optimize performance goals of the processes. The recommendation system is based on a constraint-based approach for planning and scheduling the BP activities and considers both the control-flow and the resource perspective.
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