TY - JOUR A1 - Donhauser, Toni A1 - Baier, Lukas A1 - Ebersbach, Tobias A1 - Franke, Jörg A1 - Schuderer, Peter T1 - Simulationsbasierte Optimierung von Fabrikabläufen BT - Implementierung und Test eines Algorithmus zur ereignisbasierten Regelung der Materialflüsse JF - wt Werkstattstechnik online T2 - Simulation-based optimization of factory processes UR - https://doi.org/10.37544/1436-4980-2018-04-27 KW - Simulation KW - PPS (Produktionsplanung/-steuerung) KW - Materialfluss Y1 - 2018 UR - https://doi.org/10.37544/1436-4980-2018-04-27 SN - 1436-4980 VL - 108 IS - 4 SP - 221 EP - 227 PB - VDI Fachmedien CY - Düsseldorf ER - TY - JOUR A1 - Selmaier, Andreas A1 - Donhauser, Toni A1 - Lechler, Tobias A1 - Zeitler, Jochen A1 - Franke, Jörg T1 - Simulationsgestützte Produktionsplanung flexibler Fertigungssysteme BT - Konzeptionierung einer Materialflusssimulation mittels Echtzeitdaten für die flexible Serienfertigung JF - wt Werkstattstechnik online T2 - Simulation-based production planning of flexible manufacturing systems UR - https://doi.org/10.37544/1436-4980-2019-04 KW - Materialfluss KW - PPS (Produktionsplanung/-steuerung) KW - Simulation Y1 - 2019 UR - https://doi.org/10.37544/1436-4980-2019-04 SN - 1436-4980 VL - 109 IS - 4 SP - 242 EP - 249 PB - VDI Fachmedien CY - Düsseldorf ER - TY - JOUR A1 - Donhauser, Toni A1 - Endter, Udo A1 - Schmidt, Torben A1 - Franke, Jörg A1 - Baier, Lukas A1 - Schuderer, Peter T1 - Echtzeitabbild der Produktion BT - Betriebsbegleitende Materialflusssimulation JF - wt Werkstattstechnik online UR - https://doi.org/10.37544/1436-4980-2020-04 KW - Simulation KW - Materialfluss KW - Digitale Fabrik Y1 - 2020 UR - https://doi.org/10.37544/1436-4980-2020-04 SN - 1436-4980 VL - 110 IS - 4 SP - 214 EP - 219 PB - VDI Fachmedien CY - Düsseldorf ER - TY - JOUR A1 - Baier, Lukas A1 - Donhauser, Toni A1 - Schuderer, Peter A1 - Franke, Jörg T1 - Heuristical Solution for Scheduling Single Stage Parallel Machines Production of Calcium Silicate Masonry Units with Sequence-Dependent Changeover Times to Improve Energy Efficiency JF - Applied Mechanics and Materials UR - https://doi.org/10.4028/www.scientific.net/AMM.871.208 Y1 - 2017 UR - https://doi.org/10.4028/www.scientific.net/AMM.871.208 SN - 1662-7482 VL - 871 SP - 208 EP - 219 PB - Trans Tech Publications CY - Baech ER - TY - JOUR A1 - Baier, Lukas A1 - Frommherz, Julian A1 - Nöth, Elmar A1 - Donhauser, Toni A1 - Schuderer, Peter A1 - Franke, Jörg T1 - Identifying failure root causes by visualizing parameter interdependencies with spectrograms JF - Journal of Manufacturing Systems UR - https://doi.org/10.1016/j.jmsy.2019.08.002 KW - quality management KW - root cause analysis KW - scrap reduction KW - visual management Y1 - 2019 UR - https://doi.org/10.1016/j.jmsy.2019.08.002 SN - 0278-6125 VL - 2019 IS - 53 SP - 11 EP - 17 PB - Elsevier CY - Amsterdam ER - TY - CHAP A1 - Donhauser, Toni A1 - Kisskalt, Dominik A1 - Mayr, Andreas A1 - Scholz, Michael A1 - Schuderer, Peter A1 - Franke, Jörg ED - Putz, Matthias ED - Schlegel, Andreas T1 - Integration maschineller Lernverfahren in eine Materialflusssimulation zur Verhaltensabstraktion und -vorhersage komplexer Fertigungssysteme T2 - Simulation in Produktion und Logistik 2019 Y1 - 2019 UR - https://www.asim-gi.org/publikationen/asim-spl-tagungsbaende/detail/tagungsband-18-asim-fachtagung-simulation-in-produktion-und-logistik-chemnitz-2019 SN - 978-3-95735-113-5 SN - 978-3-95735-114-2 SP - 19 EP - 28 PB - Verlag Wissenschaftliche Scripten CY - Auerbach ER - TY - JOUR A1 - Donhauser, Toni A1 - Rackow, Tobias A1 - Hirschbrunn, Johannes A1 - Schuderer, Peter A1 - Franke, Jörg T1 - Valid Methodology for Using Discrete Event Simulation to Improve the Resource Consumption for the Manufacturing of Masonry Units JF - Procedia CIRP N2 - Owing to a high inflexibility of the factory layout, manufacturers of masonry units are bound to organizational adjustments seizing optimization measures. Regarding such plants, having a given complexity based on a rigid concatenation of heterogeneous sub-processes with heavy goods to be transported, conventional measures such as Lean Management principles involve great efforts in execution. Therefore, an IT solution for planning and controlling the operational processes is to be developed. This solution will be implemented through simulation-supported optimization to support dealing with a higher complexity and setting up a more resource-efficient manufacturing process. As a basis, a corresponding factory is mapped sufficiently accurate in every detail in a discrete event analysis (DEA) model. In this paper, a methodology, how to configure an arbitrary calcium silicate masonry unit (CS) plant in a simulation model, is presented for the first time. Relevant data is cataloged and modelling approaches for the controlling methods are pointed out. Special regard is paid to optimization measures at the crucial point of the transition from bulk material to piece goods, which has not been regarded yet in discrete event simulation modelling. The major aspect is a comparison of a unit-based approach and a variable-controlled approach, regarding the runtime. A case study follows conclusively, which aided in validating the methodology by simulating various scenarios. As a result, several strategic and operational optimization potentials were identified. UR - https://doi.org/10.1016/j.procir.2015.12.016 KW - Discrete event simulation KW - Production planning and control KW - Complexity management KW - Bulk material KW - Piece goods KW - calcium silicate masonry unit Y1 - 2016 UR - https://doi.org/10.1016/j.procir.2015.12.016 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-23578 SN - 2212-8271 VL - 2016 IS - 41 SP - 57 EP - 62 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Rackow, Tobias A1 - Javied, Tallal A1 - Donhauser, Toni A1 - Martin, C. A1 - Schuderer, Peter A1 - Franke, Jörg T1 - Green Cockpit: Transparency on Energy Consumption in Manufacturing Companies JF - Procedia CIRP N2 - Companies are forced by rising energy costs to seize control of their energy consumption to maintain contestability. There-fore, transparency over the companies’ energy flux along the production process is required. Energy data management software is helpful, but cost-intensive. Hence, especially small and medium sized enterprises (SME) spare this investment. In this paper, the requirements for an energy controlling infrastructure in SME are elaborated, followed by a deduced software-architecture which supports the respective controlling structure. Further, the prototypical realization of the corresponding tool “Green-Cockpit” will be presented. The free of cost, open source and web-based tool is designed to help companies monitor, interpret, analyze, plan and report their energy consumption. The Green Cockpit tool outperforms other energy management software at management disciplines with its ability to not only analyze energy consumption, but plan and control it additionally. UR - https://doi.org/10.1016/j.procir.2015.01.011 KW - energy controlling KW - energy management KW - operations management KW - open source data management Y1 - 2015 UR - https://doi.org/10.1016/j.procir.2015.01.011 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-23587 SN - 2212-8271 N1 - Part of special issue: "12th Global Conference on Sustainable Manufacturing – Emerging Potentials" VL - 2015 IS - 26 SP - 498 EP - 503 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Donhauser, Toni A1 - Ebersbach, Tobias A1 - Franke, Jörg A1 - Schuderer, Peter T1 - Rolling-reactive Optimization of Production Processes in a Calcium Silicate Masonry Unit Plant Using Online Simulation JF - Procedia CIRP N2 - In case of concatenated, complex material flow structures such as those in calcium silicate masonry unit plants, plan deviations pose a major challenge for an efficient order processing in production. In order to overcome the separation between the planning and operational levels in traditional production planning and control systems, this paper presents a validated concept to react immediately to critical events while maintaining efficiency using a modular, rolling-reactive optimization tool. A substantial difference to conventional rescheduling models is the intensive integration of event-discrete simulation, which delivers more realistic results and reduces the threat of an obsolete model due to simple modelling. UR - https://doi.org/10.1016/j.procir.2018.03.266 KW - Simulation-based Optimization KW - Discrete-event Simulation KW - Decomposition KW - Algortihms KW - Calcium Silicate Masonry Unit KW - Rolling-reactive Optimization KW - Digital Shadow KW - Digital Twin Y1 - 2018 UR - https://doi.org/10.1016/j.procir.2018.03.266 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-23482 SN - 2212-8271 VL - 2018 IS - 72 SP - 249 EP - 254 PB - Elsevier CY - Amsterdam ER - TY - RPRT A1 - Eden, Wolfgang A1 - Schuderer, Peter A1 - Donhauser, Toni A1 - Franke, Jörg T1 - Reduzierung des Energieverbrauchs und der CO2-Emissionen sowie Steigerung der Ressourceneffizienz durch eine zustandsorientierte Steuerung der Produktionsabläufe in Kalksandsteinwerken - betriebsbegleitende Simulation unter Einbindung von Echtzeitdaten KW - Kalksandsteinindustrie KW - Ressourceneffizienz Y1 - 2020 PB - Forschungsvereinigung Kalk-Sand e.V. CY - Hannover ER -