Assessing performance of mined business process variants

Lucas O. van den Ingh, H. (Rik) Eshuis (Corresponding author), Sarah E.C. Gelper

Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

3 Citaten (Scopus)

Samenvatting

Process mining can be used to discover different variants of a business process, each variant being a specific way in which the business process has been executed. To optimise the performance of the process, the best variant needs to be identified. However, process performance is multidimensional – a process might perform well on one dimension and poor on another – and it is often not known how these dimensions weigh out against each other to find the best performing process. This paper proposes to use conjoint analysis and regression analysis to assess the overall performance of different process variants discovered by process mining. In contrast to existing performance assessment techniques for process mining like conformance checking, the proposed approach does not require a benchmark process model to identify the best variants. The approach has been implemented in a visual tool and has been applied to an industrial case study.

Originele taal-2Engels
Pagina's (van-tot)676-693
Aantal pagina's18
TijdschriftEnterprise Information Systems
Volume15
Nummer van het tijdschrift5
DOI's
StatusGepubliceerd - 2021

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