- Titel
- Automated layout creation in production planning
- Zitierfähige Url:
- https://nbn-resolving.org/urn:nbn:de:bsz:14-qucosa2-997507
- Übersetzter Titel (EN)
- Methodical investigation of algorithms for layout generation and optimization
- 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/10.25368/2025.268
- Abstract (EN)
- Factory layout planning is a critical task in production engineering that requires balancing multiple objectives, spatial constraints, and evolving operational needs. Despite advances in algorithmic optimization, real-world planning remains a fragmented process in which logical structuring, geometric realization, and iterative improvement are often treated in isolation. This paper presents a structured, threephase framework for integrated layout design, developed following a Design Science Research approach. The framework comprises logical layout planning, algorithmic generation of spatial configurations, and simulation-informed optimization, with each phase linked through defined data and decision interfaces. An extensive literature review forms the basis for identifying suitable algorithms for each phase, including rule-based planning methods, clustering and graph models, heuristic and parametric layout generation techniques, and a range of optimization strategies from exact solvers to metaheuristics and hybrid simulation-optimization models. The proposed model not only provides a systematic approach to integrating algorithmic and human contributions in layout planning but also serves as a strategic tool for both researchers and practitioners, enabling context-sensitive method selection and facilitating datadriven decision-making in dynamic production settings.
- Freie Schlagwörter (DE)
- Simulation, Künstliche Intelligenz, Modellierung, Optimierung, algorithmischen Optimierung, Layoutplanung
- Freie Schlagwörter (EN)
- Simulation, Artificial Intelligence, Modelling, Optimisation, algorithmic optimization, layout planning
- Klassifikation (DDC)
- 620
- Klassifikation (RVK)
- ZM 9500
- Publizierende Institution
- Technische Universität Dresden, Dresden
- Förder- / Projektangaben
- Deutsche Forschungsgemeinschaft (DFG)
ID: LA 2351/88-1 - Version / Begutachtungsstatus
- publizierte Version / Verlagsversion
- URN Qucosa
- urn:nbn:de:bsz:14-qucosa2-997507
- Veröffentlichungsdatum Qucosa
- 21.10.2025
- Dokumenttyp
- Konferenzbeitrag
- Sprache des Dokumentes
- Englisch
- Lizenz / Rechtehinweis
CC BY 4.0