A Graph Database Approach for Supporting Knowledge-Driven and Simulation-Based Optimization in Industry and Academia
2025 (English)In: Simulation in Produktion und Logistik 2025 / [ed] Sebastian Rank; Mathias Kühn; Thorsten Schmidt, Dresden: Technische Universität Dresden , 2025, article id 43Conference paper, Published paper (Refereed)
Abstract [en]
With the increase in complexity of industrial systems it becomes more and more challenging to make well-grounded decisions for system design and operation. Following the concept of Virtual Factories with Knowledge-Driven Optimization (VF-KDO), this paper proposes a graph database approach to support knowledge-driven and simulation-based optimization. With the mapping of a VF-KDO ontology to a graph database, competency questions that facilitate traceability, transparency, and group decision making can be answered. This is exemplified with an industrial use case and a scenario form academic education.
Place, publisher, year, edition, pages
Dresden: Technische Universität Dresden , 2025. article id 43
Series
ASIM Mitteilungen
Keywords [en]
Graph Database, Knowledge-Driven Optimization, Simulation-Based Optimization, Knowledge graph, Optimization, Decision support, Heterogeneous data, Industrial use case, Academic use case, Supporting knowledge, Database systems, Knowledge retrieval, Virtual Manufacturing
National Category
Computer Sciences Production Engineering, Human Work Science and Ergonomics
Research subject
VF-KDO; Virtual Production Development (VPD); Information Systems
Identifiers
URN: urn:nbn:se:his:diva-25970DOI: 10.25368/2025.276ISBN: 978-3-86780-806-4 (print)ISBN: 978-3-86780-809-5 (electronic)OAI: oai:DiVA.org:his-25970DiVA, id: diva2:2009784
Conference
21. ASIM-Fachtagung Simulation in Produktion und Logistik, Dresden, Germany, 24–26 September 2025
Part of project
Virtual factories with knowledge-driven optimization (VF-KDO), Knowledge Foundation
Funder
Knowledge Foundation
Note
CC BY-NC 4.0
The authors would like to acknowledge the Knowledge Foundation (KKS), Sweden, for providing funding to the VF-KDO profile (2018-2026) and FlexLink AB for its active partnership within the LINK subject area of VF-KDO.
2025-10-282025-10-282025-10-28Bibliographically approved