Szczegóły publikacji
Opis bibliograficzny
Exploring hybrid modelling of industrial process – mining use case / Edyta BRZYCHCZY, Krzysztof KLUZA, Katarzyna GDOWSKA // W: Business Process Management workshops : BPM 2023 : international workshops : Utrecht, The Netherlands, September 11–15, 2023 : revised selected papers / eds. Jochen De Weerdt, Luise Pufahl. — Cham : Springer, cop. 2024. — (Lecture Notes in Business Information Processing ; ISSN 1865-1348 ; vol. 492). — ISBN: 978-3-031-50973-5; e-ISBN: 978-3-031-50974-2. — S. 302–313. — Bibliogr., Abstr. — Publikacja dostępna online od: 2024-01-11
Autorzy (3)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 151453 |
|---|---|
| Data dodania do BaDAP | 2024-02-28 |
| DOI | 10.1007/978-3-031-50974-2_23 |
| Rok publikacji | 2024 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Wydawca | Springer |
| Konferencja | International Conference in Business Process Management 2023 |
| Czasopismo/seria | Lecture Notes in Business Information Processing |
Abstract
Modelling industrial processes, especially in heavy industries, becomes a challenging task. The main aspects that influence modelling are related to the availability of suitable event logs and process variability, impacting the selection of modelling language and discovery algorithms. Our paper presents the results of modelling a real-life industrial process, namely longwall shearer operation. We started with motivation resulting from previous findings based on a comparison of imperative and declarative modelling of the process in question. It led us to the creation of a hybrid model and conformance checking to evaluate its ability to express sophisticated traces in the process execution. Our results show that the hybrid model reveals fewer deviations than analysed pure paradigm models (Petri nets and Declare).
