TY - CHAP A1 - Schlosser, Alexander A1 - Barth, Martin A1 - Schuderer, Peter A1 - Franke, Jörg ED - Lam, H. ED - Azar, E. ED - Batur, D. ED - Gao, S. ED - Xie, W. ED - Hunter, R. ED - Rossetti, M. D. T1 - Optimizing the Automation in Construction Site Logistics: Problems and Propsed Modell Library for Materials Flow Simulation T2 - 2024 Winter Simulation Conference (WSC) UR - https://doi.org/10.1109/WSC63780.2024.10838777 Y1 - 2025 UR - https://doi.org/10.1109/WSC63780.2024.10838777 SN - 979-8-3315-3420-2 SP - 2393 EP - 2404 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Schrage, Tobias A1 - Barth, Martin A1 - Schuderer, Peter A1 - Franke, Jörg ED - Bergman, Sören ED - Feldkamp, Niclas ED - Souren, Rainer ED - Straßburger, Steffen T1 - Entwicklung und Realisierung einer Modellbibliothek für ein Entscheidungsunterstützungssystem in der Kalksandsteinproduktion T2 - Simulation in Produktion und Logistik 2023 T2 - Development and Realisation of a Model Library for a Decision Support System in Calcium Silicate Brick Production UR - https://doi.org/10.22032/dbt.57787 KW - Entscheidungsunterstützungssystem KW - Kalksandstein KW - Modellbibliothek KW - model library KW - decision support system KW - calcium silicate brick Y1 - 2023 UR - https://doi.org/10.22032/dbt.57787 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-49979 SN - 978-3-86360-276-5 SP - 61 EP - 70 PB - Universitätsverlag Ilmenau CY - Ilmenau ER - TY - CHAP A1 - Schrage, Tobias A1 - Schuderer, Peter A1 - Barth, Martin A1 - Franke, Jörg ED - Rank, Sebastian ED - Kühn, Mathias ED - Schmidt, Thorsten T1 - Konzeptionierung und Integration eines KI-basierten Autoklavenmodells in ein simulationsbasiertes Entscheidungsunterstützungssystem in der Kalksandsteinproduktion T2 - Simulation in Produktion und Logistik 2025 N2 - 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. T2 - Conceptual design and integration of an AI-based autoclave model into a simulation-based decision support system in sand-lime brick production UR - https://doi.org/10.25368/2025.288 Y1 - 2025 UR - https://doi.org/10.25368/2025.288 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-62862 SN - 978-3-86780-809-5 SN - 978-3-86780-806-4 SP - 55-1 EP - 55-10 PB - Technische Universität Dresden CY - Dresden ER - TY - CHAP A1 - Barth, Martin A1 - Herkel, Philipp A1 - Gutwald, Benjamin A1 - Krüger, Jan Hinrich A1 - Schrage, Tobias A1 - Reichenstein, Tobias A1 - Franke, Jörg T1 - Utilization of Virtual Commissioning for Simulation-Based Energy Modeling and Dimensioning of DC-Based Production Systems T2 - 2025 Winter Simulation Conference (WSC) UR - https://doi.org/10.1109/WSC68292.2025.11339100 Y1 - 2026 UR - https://doi.org/10.1109/WSC68292.2025.11339100 SN - 979-8-3315-8726-0 SP - 700 EP - 710 PB - IEEE CY - Piscataway ER -