- Titel
- Methodology for the Design and Execution of Simulation Experiments Based on Synthesised Structural Variation for Models in Production and Logistics
- Zitierfähige Url:
- https://nbn-resolving.org/urn:nbn:de:bsz:14-qucosa2-997571
- Übersetzter Titel (DE)
- Methodik zur Planung und Durchführung von Simulationsexperimenten auf Basis von synthetisierter Strukturvariation für Modelle in Produktion und Logistik
- Konferenz
- 21. ASIM-Fachtagung Simulation in Produktion und Logistik. Dresden, Germany, 24. bis 26. September 2025
- Quellenangabe
- Simulation in Produktion und Logistik 2025
Herausgeber: Sebastian Rank
Herausgeber: Mathias Kühn
Herausgeber: Thorsten Schmidt
Erscheinungsort: Dresden
Verlag: Technische Universität Dresden, Professur für Technische Logistik
Erscheinungsjahr: 2025
ISBN: 978-3-86780-806-4 - Erstveröffentlichung
- 2025
- DOI
- https://doi.org/10.25368/2025.269
- Abstract (EN)
- This paper presents a methodology for the design and execution of simulation experiments for the investigation of production and logistics systems, in which structural variants of models are (partially) automatically generated by the application of component-based software synthesis, experimentally investigated with the help of discrete-event simulation and evaluated with regard to target dimensions of production and logistics planning. The methodology has been developed for simulation experiments on topology-oriented models and extends the state of the art in that the structural variation can be consciously considered and varied as an influence factor in the design and execution of simulation experiments. The benefit of this work lies in its potential for improving simulation results, as more model structures can be investigated and simulatively evaluated than in the manual modelling of structural variants. Limitations of the current state of research and an outlook for future research are also provided for the reader.
- Freie Schlagwörter (DE)
- Simulation, Künstliche Intelligenz, Modellierung, Optimierung, Simulationsexperimenten, komponentenbasierter Softwaresynthese
- Freie Schlagwörter (EN)
- Simulation, Artificial Intelligence, Modelling, Optimisation, Simulation experiments, component-based software synthesis
- Klassifikation (DDC)
- 620
- Klassifikation (RVK)
- ZM 9500
- Publizierende Institution
- Technische Universität Dresden, Dresden
- Förder- / Projektangaben
- Deutsche Forschungsgemeinschaft (DFG)
KL4SiM – automated generation of structural variants for simulation models in the field of production and logistics using combinatorial logic
ID: 511349842 - Version / Begutachtungsstatus
- publizierte Version / Verlagsversion
- URN Qucosa
- urn:nbn:de:bsz:14-qucosa2-997571
- Veröffentlichungsdatum Qucosa
- 21.10.2025
- Dokumenttyp
- Konferenzbeitrag
- Sprache des Dokumentes
- Englisch
- Lizenz / Rechtehinweis
CC BY-NC-ND 4.0