Aligning Event Logs to Resource-Constrained ν -Petri Nets

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

3 Citaten (Scopus)

Samenvatting

Systems with shared resources can be modeled and analyzed using high-level Petri nets in a natural way. Choosing a model type suitable for the use in conformance checking introduces challenges related to constraints the model should put on resource types and resource instances. In this paper, we propose a model for systems with shared resources based on resource-constrained Petri nets and ν -Petri nets that can be used in the context of conformance checking. Our model allows for case and resource isolation, allowing for proper simulation of multiple cases involving shared resources. With this minimal extension, we show that we can use existing state-of-the-art conformance checking techniques to compute alignments on complete event logs rather than on individual case instances. We show that previously undetected deviations caused by inter-case dependencies can now be exposed, providing valuable information regarding the exhaustive workflow in the process.

Originele taal-2Engels
TitelApplication and Theory of Petri Nets and Concurrency - 43rd International Conference, PETRI NETS 2022, Proceedings
RedacteurenLuca Bernardinello, Laure Petrucci
UitgeverijSpringer
Pagina's325-345
Aantal pagina's21
ISBN van geprinte versie9783031066528
DOI's
StatusGepubliceerd - 2022
Evenement43rd International Conference on Application and Theory of Petri Nets and Concurrency, PETRI NETS 2022 - Bergen, Noorwegen
Duur: 19 jun. 202224 jun. 2022

Publicatie series

NaamLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13288 LNCS
ISSN van geprinte versie0302-9743
ISSN van elektronische versie1611-3349

Congres

Congres43rd International Conference on Application and Theory of Petri Nets and Concurrency, PETRI NETS 2022
Land/RegioNoorwegen
StadBergen
Periode19/06/2224/06/22

Bibliografische nota

Publisher Copyright:
© 2022, Springer Nature Switzerland AG.

Financiering

This work is done within the project “Certification of production process quality through Artificial Intelligence (CERTIF-AI)”, funded by NWO (project number: 17998).

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