Schrage T, Schuderer P, Barth M, Franke J (2025)
Publication Type: Conference contribution, Conference Contribution
Publication year: 2025
Publisher: Eigenverlag
Series: Simulation in Produktion und Logistik
City/Town: Dresden
Book Volume: ASIM Mitteilung Nr. 194
Pages Range: 55-1 - 55-10
Conference Proceedings Title: Simulation in Produktion und Logistik 2025
ISBN: 978-3-86780-806-4
DOI: 10.25368/2025.233
The calcium silicate brick (CSB) industry faces increasing pressure to
improve the efficiency and sustainability of its production processes, especially due
to the high energy consumption and CO₂ emissions associated with autoclaving. To
support operational and strategic decision-making, a simulation-based decision
support system (DSS) has been developed, utilizing a modular material flow
simulation framework. However, the energy-intensive steam curing process in
autoclaves remains insufficiently represented in existing simulation models. This
paper presents a methodological approach for integrating an AI-based optimization
agent for autoclave systems into the existing DSS used in CSB production. A review
of current techniques for coupling AI assistance systems with discrete event
simulation in production and logistics, within the building materials sector, provides
the foundation. Building on this, the autoclaving process is modeled using a hybrid
approach, combining thermodynamic domain knowledge with machine learning
methods. This contribution highlights how the combination of simulation-based
production planning and intelligent process modelling can drive digital transformation
in energy-intensive industries.
APA:
Schrage, T., Schuderer, P., Barth, M., & Franke, J. (2025). Konzeptionierung und Integration eines KI-basierten Autoklavenmodells in ein simulationsbasiertes Entscheidungsunterstützungssystem in der Kalksandsteinproduktion. In Rank, Sebastian; Kühn, Matthias; Schmidt, Thorsten (Eds.), Simulation in Produktion und Logistik 2025 (pp. 55-1 - 55-10). Dresden, DE: Dresden: Eigenverlag.
MLA:
Schrage, Tobias, et al. "Konzeptionierung und Integration eines KI-basierten Autoklavenmodells in ein simulationsbasiertes Entscheidungsunterstützungssystem in der Kalksandsteinproduktion." Proceedings of the 21. ASIM Fachtagung, Dresden Ed. Rank, Sebastian; Kühn, Matthias; Schmidt, Thorsten, Dresden: Eigenverlag, 2025. 55-1 - 55-10.
BibTeX: Download