Inkonsistenz Management in heterogenen Engineering Daten in der Intralogistik auf Basis von gekoppelten Metamodellen

Autor:	Ji, Fan, Wünnenberg, Maximilian, Schypula, Rafael, Fischer, Juliane, Hujo, Dominik, Goedicke, Michael, Fottner, Johannes, Vogel-Heuser, Birgit
Rok vydání:	2023
Předmět:	Informatik Control and Systems Engineering Electrical and Electronic Engineering Computer Science Applications
Zdroj:	at - Automatisierungstechnik. 71:364-379
ISSN:	2196-677X 0178-2312
DOI:	10.1515/auto-2022-0128
Popis:	During the development of intralogistics systems (ILS), heterogeneous models are created, which represent discipline-specific views, e.g., control software developed by automation engineers or discrete-event simulation models created by simulation engineers. These models represent discipline-specific views on the system but contain overlapping information. Thereby, keeping the information in different development models consistent is challenging and currently requires high manual effort, which highly depends on the developers’ experience. To overcome this challenge, an approach to link heterogeneous model data and identify potential information inconsistencies within and between models automatically is proposed. The concept is evaluated with a use case containing three typical inconsistencies from five representative engineering models applied in ILS development.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::996445c1d5f4ddcd22a2914ae85e6b40 https://doi.org/10.1515/auto-2022-0128 Zobrazit plný text záznamu