TY - CHAP A1 - Schrage, Tobias A1 - Schuderer, Peter A1 - Franke, Jörg ED - Kohl, Holger ED - Seliger, Günther ED - Dietrich, Franz ED - Mur, Sebastián T1 - Process- and Material-Specific Modeling to Use in Simulation-Based and Resource-Oriented Decision Support Systems Using the Example of Calcium Silicate Brick Production Planning T2 - Sustainable Manufacturing as a Driver for Growth: Proceedings of the 19th Global Conference on Sustainable Manufacturing, December 4–6, 2023, Buenos Aires, Argentina N2 - As part of the fourth industrial revolution, data analysis and artificial intelligence are being integrated into production processes. In addition, energy consumption and CO2 costs are becoming decisive factors in the resource-oriented management of companies. For energy intensive and hybrid production processes a simulation-based decision support system (DSS) for production planning is validated and further developed for the sand lime brick industry to support the production planning process. The integration of empirical knowledge in the energy-intensive control of steam processes, in which quality-critical product parameters are set via thermodynamically complex relationships, is still part of current research approaches. In this paper, an approach for the mapping of an energetic system behavior in the energy-intensive and hybrid production processes will be discussed using the example of calcium silicate brick (CSB) production. Possibilities for using Discrete event simulation (DES) to increase the energy efficiency of steam processes are summarized and linked to formalized empirical knowledge in artificial Intelligence (AI) approaches. UR - https://doi.org/10.1007/978-3-031-77429-4_62 Y1 - 2025 UR - https://doi.org/10.1007/978-3-031-77429-4_62 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-55984 SN - 978-3-031-77429-4 SP - 562 EP - 568 PB - Springer CY - Cham ER - TY - JOUR A1 - Scholz, Michael A1 - Zwingel, Maximilian A1 - Schuderer, Peter A1 - Franke, Jörg T1 - Sustainable intralogistics due to uniform software and modular transport entities JF - Procedia CIRP N2 - The current trend in internal value stream structures shows a clear development towards a combination of the specific advantages of the operation-oriented and the process-oriented production systems. All scientific approaches have in common that flexible intralogistics production networks require an autonomous and intelligent transportation systems that is not designed for a specific task, but can take on different transport roles due to their versatility. However, a comprehensive analysis of current designs and research projects in the field of AGVs and intralogistics transport robots show that there is neither the necessary interoperability of different systems nor a system architecture that addresses a flexible material flow independent of the physical design of the transportation system. AGVs mainly have a central control system, which manages the generation of transport orders and their disposition on the vehicles. In addition, the routes are specified centrally for the vehicles, even if they have free navigation. The individual transport unit is therefore only an executing machine that processes the assigned transport orders without any influence on order dispatching or route planning. Therefore, these AGV approaches do not have the flexibility and autonomy required for an intralogistics production network. The research project addresses the necessary interoperability of logistics systems and the abandonment of proprietary standalone solutions. For this purpose, methods for digitizing the workspace, route planning and path execution using a service-oriented architecture (SOA) were developed. A central component of this architecture is the approach described in the paper to enable decentralized path planning on the vehicles. Therefore, the path planning must be applicable to different target platforms without implementation effort and the vehicle software must be designed independently of the application. This approach allows intralogistics systems to be flexible and adaptable, resulting in a more sustained use of these systems. UR - https://doi.org/10.1016/j.procir.2019.01.033 KW - sustainable production systems KW - autonomous transport systems KW - uniform software KW - modular intralogistics Y1 - 2019 UR - https://doi.org/10.1016/j.procir.2019.01.033 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-20783 SN - 2212-8271 VL - 2019 IS - 80 SP - 239 EP - 244 PB - Elsevier CY - Amsterdam 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 - Rackow, Tobias A1 - Kohl, Johannes A1 - Canzaniello, Angelo A1 - Schuderer, Peter A1 - Franke, Jörg T1 - Energy Flexible Production: Saving Electricity Expenditures by Adjusting the Production Plan JF - Procedia CIRP N2 - The energy turnaround in Germany increases the share of renewable energies. Since the amount of renewable energy supply is immanently subject of variation, the electricity price at the European Energy Exchange EEX is highly volatile. If companies would purchase the electricity directly at the EEX instead of from a wholesale power supplier along with price fixing, companies would benefit from increasing production in times with low electricity costs and reducing production in high-cost times. This paper shows, that influencing respectively shifting the time of electricity consumption –e.g. by adjustment of process parameter, shift period, order of jobs or machine utilization, by pausing of processes or delaying of job starts – can theoretically reduce electricity expenditures. The measures are being explained and discussed, followed by a description of company in-house and external requirements for the energy flexible production. UR - https://doi.org/10.1016/j.procir.2014.07.179 KW - factory control KW - energy flexibility KW - flexible production KW - energy management KW - energy expenditures Y1 - 2015 UR - https://doi.org/10.1016/j.procir.2014.07.179 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-23609 SN - 2212-8271 N1 - Part of special issue: "12th Global Conference on Sustainable Manufacturing – Emerging Potentials" VL - 2015 IS - 26 SP - 235 EP - 240 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 - CHAP A1 - Scholz, Michael A1 - Serno, Mario A1 - Franke, Jörg A1 - Schuderer, Peter T1 - A Hybrid Transport Concept for the Material Supply of a Modular Manufacturing Environment T2 - Procedia Manufacturing N2 - Today's research projects propose a modular manufacturing environment for automotive production sites, which adapt itself autonomously and makes manufacturing decisions without the need of human interaction. Tugger trains are an energy-efficient possibility to handle intralogistics material supply due to the bundling of transport volumes but reaches its limits in the proposed automotive manufacturing environments. The spatial nearness of the production units and the necessity of a high-frequented and small-scaled supply lead to the application of small-scaled autonomous transport entities. The main disadvantage of this technology in turn is a higher intralogistics traffic. Therefore, the concluded concept of this paper connects the advantages of both technologies. UR - https://doi.org/10.1016/j.promfg.2017.07.275 KW - Tugger train KW - Automated Guided Vehicle KW - Hybrid system KW - Material Supply KW - Modular Manufacturing Environment Y1 - 2017 UR - https://doi.org/10.1016/j.promfg.2017.07.275 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-23515 SN - 2351-9789 VL - 2017 IS - 11 SP - 1448 EP - 1453 PB - Elsevier CY - Amsterdam ER - TY - CHAP A1 - Zwingel, Maximilian A1 - Blank, Andreas A1 - Schuderer, Peter A1 - Franke, Jörg ED - Herberger, David ED - Hübner, Marco T1 - A Hybrid Metric for Navigation of Autonomous Intralogistics Vehicles in Mixed Indoor and Outdoor Operation T2 - Proceedings of the Conference on Production Systems and Logistics: CPSL 2022 N2 - While autonomous guided vehicle systems are increasingly used in homogeneous and structured environments, their use in complex and variable scenarios is usually limited. Established algorithms for the navigation of systems use static maps with deterministic metrics, which can only achieve optimal results in clearly defined environments. In dynamic and extensive deployment scenarios, which are also dependent on a large number of influencing parameters, autonomous intralogistics systems cannot yet be deployed dynamically. One example here is mixed transport between buildings under changing weather conditions. As a solution for dynamic navigation, we propose a hybrid metric in combination with topological maps and cyclic environmental sensing. Based on a quantification of influencing factors on each intralogistics entity, an optimal and dynamic navigation of every system can be performed at any time. The individual components are implemented in the context of an autonomous tow truck system and evaluated in different application scenarios. The results show significant added value in use cases with sudden weather changes and complex route networks. UR - https://doi.org/10.15488/12123 KW - Autonomous Tow Truck Systems KW - Topological Maps KW - Hybrid Metric Y1 - 2022 UR - https://doi.org/10.15488/12123 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-31219 SN - 2701-6277 SP - 785 EP - 794 PB - publish-ing CY - Hannover ER - TY - CHAP A1 - Schlosser, Alexander A1 - Schuderer, Peter A1 - Franke, Jörg ED - Kohl, Holger ED - Seliger, Günther ED - Dietrich, Franz ED - Vien, Ha Thuc T1 - Sustainability Assessment and Optimization in Construction Site: A Simulation-Based Approach T2 - Decarbonizing Value Chains: Proceedings of the 20th Global Conference on Sustainable Manufacturing (GCSM 2024), October 9–11, 2024, Ho Chi Minh City, Vietnam N2 - The construction industry is currently facing significant challenges. In order to address these challenges, the REMUS simulation model library for the construction industry is being developed. To this end, the physical modules are divided into stationary and mobile modules, as well as information objects. To create the simulation model and conduct the simulation experiment, a requirements cluster with the most important parameters of construction sites is created. The elements of sustainability—environmental, economy, and social aspects—are employed to assess the simulation results and to optimize the model. To this end, corresponding KPIs, methods, and procedures are delineated, which are documented during the various simulation experiments and evaluated subsequently. The equipment and environment exert an influence on the “economy”. This is reflected in the costs associated with the model components and their operation. The area of “environmental” is represented by the consumption of input materials. Alternative consumption and recovery concepts are implemented and compared here. The “social” aspect is represented by the human-machine collaboration. As part of the simulation experiments, the recorded variables are continuously adapted and refined. This process enables the simulation to improve the sustainability of the construction site environment. UR - https://doi.org/10.1007/978-3-031-93891-7_10 Y1 - 2025 UR - https://doi.org/10.1007/978-3-031-93891-7_10 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-62843 SN - 978-3-031-93891-7 SP - 82 EP - 90 PB - Springer CY - Cham ER - TY - CHAP A1 - Schobert, Marvin A1 - Gmeiner, Christian A1 - Franke, Jörg A1 - Schuderer, Peter ED - Rank, Sebastian ED - Kühn, Mathias ED - Schmidt, Thorsten T1 - BPMN2.0 for the formal specification of discrete event simulation models T2 - Simulation in Produktion und Logistik 2025 N2 - Discrete Event Simulation (DES) is essential for planning in logistics, material flow, and production but remains time- and knowledge-intensive due to fragmented modelling practices and tool-specific requirements, as noted in VDI 3633 and VDI 4465. This paper proposes addressing these challenges by transferring concepts from Business Process Management, leveraging its formal modelling languages and validation frameworks. A style guide based on the Business Process Model and Notation 2.0 (BPMN) is introduced, structured around the principles of correctness, completeness, consistency, and clarity to support both communication and simulation. These principles enable reusable, verifiable process models suitable for execution in different DES tools, which serves as a step towards automated experimentation and verification. Through a first-ever evaluation of state of the art approaches against those principles, this work contributes to the ongoing definition of a semi-formal BPMN modelling layer developed in the ASIM SPL working group for formal methods in procedural models. T2 - BPMN2.0 für die formale Spezifikation von Modellen für die ereignisdiskrete Simulation UR - https://doi.org/10.25368/2025.285 Y1 - 2025 UR - https://doi.org/10.25368/2025.285 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-62911 SN - 978-3-86780-806-4 SN - 978-3-86780-809-5 VL - 2025 SP - 52-1 EP - 52-10 PB - Technische Universität Dresden CY - Dresden ER -