Simulation Tools in Production Planning
- Faculty
Faculty of Engineering and Computer Science
- Version
Version 1 of 28.02.2026.
- Module identifier
11M0630
- Module level
Master
- Language of instruction
German
- ECTS credit points and grading
5.0
- Module frequency
only summer term
- Duration
1 semester
- Brief description
The ever shorter time-to-market and increasing quality requirements for new products can only be achieved by synchronizing product and production development to the greatest possible extent with data-integrated software tools. On the production side, this ensures reliable target costs and quality, steep production start-up curves and optimum plant operation.
The understanding and practical application of modern simulation tools with a focus on production processes and production sequences is fundamental to this. On the one hand, manufacturing processes such as forming, welding and injection molding must be considered. On the other hand, the investigation of production processes such as painting, the use of industrial robots, manual assembly scenarios and material flows is important. These teaching contents are framed by a fundamental transfer of knowledge and methods for the targeted and efficient implementation of simulation investigations and stimulation studies.
Excursions are carried out as required to accompany the course.
- Teaching and learning outcomes
1. basics -> production-related simulation techniques and tools, implementation of simulation studies, simulation tools in the digital factory
Block A: Simulation of manufacturing processes:
2. forming simulation -> strategies, non-linear finite element method, material properties, contact conditions, process sequence3. welding simulation -> Radaj triangle, heat conduction models, distortion, residual stresses, simulation sequence
4. plastic injection molding simulation -> basics, analysis options, meshing methods, simulation procedure
Block B: Simulation of complex production processes:
5. painting simulation -> particle flow vs. coating process, process and workpiece modeling, presentation of results6. robot simulation -> overview of simulation tools, realistic robot simulation, collision-avoiding path planning, offline path/program creation
7. human simulation and ergonomics analyses -> human model, biomechanics, motion definition, analysis methods
8. event-oriented simulation -> areas of application, mode of operation, data preparation, evaluation of results
The simulation tools used in the practical simulation exercises are Autoform, Simufact, Moldflow, Process Simulate and Plant Simulation.
- Overall workload
The total workload for the module is 150 hours (see also "ECTS credit points and grading").
- Teaching and learning methods
Lecturer based learning Workload hours Type of teaching Media implementation Concretization 30 Lecture Presence - 15 Laboratory activity - Lecturer independent learning Workload hours Type of teaching Media implementation Concretization 30 Preparation/follow-up for course work - 45 Exam preparation - 30 Work in small groups -
- Graded examination
- Written examination or
- oral exam
- Ungraded exam
- Field work / Experimental work
- Knowledge Broadening
After completing this module, students will differentiate between the common production-related simulation tools and describe their benefits in the production environment. They explain how simulation programs work and identify expected accuracies and inaccuracies when carrying out simulation studies.
- Application and Transfer
After completing the module, students apply selected simulation tools in a targeted manner and independently carry out simulation studies on production-relevant tasks. They critically reflect on the results that can be derived from simulation studies and organize the implementation of these in the production environment in the sense of continuous improvement management.
- Academic Innovation
After completing the module, students select relevant data (including mass data) for simulation studies and analyze them with a view to implementing suitable simulation models. They prove the correctness of the simulation models created by means of verification and validation on the basis of scientific findings from specialist literature and case studies. In this context, students also develop research questions for the further development of simulation tools and the appropriate application methodology.
- Literature
Franke, Jörg; Schuderer, Peter (Hrsg.): Simulation in Produktion und Logistik – 19. ASIM-Fachtagung, Cuvillier Verlag Göttingen, 2021 Gutenschwager, Kai; Rabe, Markus; Spieckermann, Sven; Wenzel, Sigrid: Simulation in Produktion und Logistik – Grundlagen und Anwendungen, Springer Berlin, 2017
Bracht, Uwe; Geckler, Dieter; Wenzel, Sigrid: Digitale Fabrik – Methoden und Praxisbeispiele, Springer Berlin, 2018
Wünsch, Georg: Methoden für die virtuelle Inbetriebnahme automatisierter Produktionssysteme, Utz München, 2008
Wenzel, Sigrid; Weiß, Matthias; Collisi-Böhmer, Simone; Pitsch, Holger; Rose, Oliver: Qualitätskriterien für die Simulation in Produktion und Logistik – Planung und Durchführung von Simulationsstudien, Springer Berlin, 2008
Kühn, Wolfgang: Digitale Fabrik: Fabriksimulation für Produktionsplaner, München Hanser Verlag, 2006
Kuhn, Axel; Rabe, Markus: Simulation in Produktion und Logistik – Fallbeispielsammlung, Springer Berlin Heidelberg, 2013
Bayer, Johann: Simulation in der Automobilproduktion, Springer Berlin, 2003
Bullinger-Hoffmann, Angelika C.; Mühlstedt, Jens: Homo Sapiens Digitalis – Virtuelle Ergonomie und digitale Menschmodelle, Springer Vieweg Wiesbaden, 2016
Sauerbier, Thomas: Theorie und Praxis von Simulationssystemen – eine Einführung für Ingenieure und Informatiker mit Programmbeispielen und Projekten aus der Technik, Braunschweig Vieweg, 1999
VDI 3633, Blatt 1-13: Simulation von Logistik-, Materialfluss- und Produktionssystemen, VDI-Verlag Düsseldorf, 2013 (und andere)
VDI 4499, Blatt 1-5: Digitale Fabrik, VDI-Verlag Düsseldorf, 2016 (und andere)
Hoffmann, Hartmut; Neugebauer, Reimund; Spur, Günter: Handbuch Umformen, München Hanser Verlag, 2012
Kocke, Fritz: Fertigungsverfahren 4, Springer Vieweg, 2017, 6. Auflage
Arendes, Dieter: Einführung in die Umformtechnik, Springer Vieweg, 2023
Awiszus, Birgit; Bast, Jürgen; Dürr, Holger; Mayr, Peter: Grundlagen der Fertigungstechnik, Hanser Verlag, 2016, 6. Auflage
- Applicability in study programs
- Automotive Engineering (Master)
- Automotive Engineering M.Sc. (01.09.2025)
- Computer Science
- Computer Science M.Sc. (01.09.2025)
- Mechatronic Systems Engineering
- Mechatronic Systems Engineering M.Sc. (01.09.2025)
- Mechanical Engineering (Master)
- Mechanical Engineering M.Sc. (01.09.2025)
- Person responsible for the module
- Rokossa, Dirk
- Teachers
- Rokossa, Dirk
- Sachnik, Peter