OPerA: Object-Centric Performance Analysis
- URL: http://arxiv.org/abs/2204.10662v1
- Date: Fri, 22 Apr 2022 12:23:06 GMT
- Title: OPerA: Object-Centric Performance Analysis
- Authors: Gyunam Park, Jan Niklas Adams, and Wil. M. P. van der Aalst
- Abstract summary: We propose a novel approach to performance analysis by using object-centric Petri nets as formal representations of business processes.
The proposed approach correctly computes existing performance metrics, while supporting the derivation of newly-introduced object-centric performance metrics.
We have implemented the approach as a web application and conducted a case study based on a real-life loan application process.
- Score: 0.4014524824655105
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Performance analysis in process mining aims to provide insights on the
performance of a business process by using a process model as a formal
representation of the process. Such insights are reliably interpreted by
process analysts in the context of a model with formal semantics. Existing
techniques for performance analysis assume that a single case notion exists in
a business process (e.g., a patient in healthcare process). However, in
reality, different objects might interact (e.g., order, item, delivery, and
invoice in an O2C process). In such a setting, traditional techniques may yield
misleading or even incorrect insights on performance metrics such as waiting
time. More importantly, by considering the interaction between objects, we can
define object-centric performance metrics such as synchronization time, pooling
time, and lagging time. In this work, we propose a novel approach to
performance analysis considering multiple case notions by using object-centric
Petri nets as formal representations of business processes. The proposed
approach correctly computes existing performance metrics, while supporting the
derivation of newly-introduced object-centric performance metrics. We have
implemented the approach as a web application and conducted a case study based
on a real-life loan application process.
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