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Enriching Business Process Models with Decision Rules

Catalkaya, Semra and Knuplesch, David and Chiao, Carolina Ming and Reichert, Manfred (2013) Enriching Business Process Models with Decision Rules. In: BPM 2013 International Workshops, Int'l Workshop on Decision Mining & Modeling for Business Processes (DeMiMoP’13), August 26, 2013, Beijing, China.

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Abstract

Making the right decisions in time is one of the key tasks in every business. In this context, decision theory fosters decision-making based on well-defined decision rules. The latter evaluate a given set of input parameters and utilize evidenced data in order to determine an optimal alternative out of a given set of choices. In particular, decision rules are relevant in the context business processes as well. Contemporary process modeling languages, however, have not incorporated decision theory yet, but mainly consider rather simple, guard-based decisions that refer to process-relevant data. To remedy this drawback, this paper introduces an approach that allows embedding decision problems in business process models and applying decision rules to deal with them. As a major benefit, it becomes possible to automatically determine optimal execution paths during run time.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:business process modeling, decision support, KPI
Subjects:DBIS Research > Publications
ID Code:951
Deposited By: Prof. Dr. Manfred Reichert
BibTex Export:BibTeX
Deposited On:06 Aug 2013 15:23
Last Modified:28 Jul 2014 10:15

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