Simulation of Production Systems and Digital Twin
Certificate Course - Productions & Operations Management - POM.2.3.I26
| Date | Mar 2 - 5, 2027 |
| Duration | 2 days |
| Location | On campus - Karlsruhe |
| Language | English |
| ECTS | upon request |
| Cost | 1,550€ |
Fundamentals
Introduces the fundamental concepts of simulation modeling and provides an overview of methods for analyzing and improving production and supply network systems.
Technology
Explores simulation approaches, including discrete-event simulation, material flow simulation, and digital twin concepts for modeling complex industrial processes and systems.
Applications
Examines practical applications of simulation methods in manufacturing and logistics environments, including process optimization, system evaluation, and simulation-based decision support.
What you'll explore
- The fundamentals of simulation modeling and its application in production and supply network analysis.
- Different simulation approaches, including discrete-event simulation, material flow simulation, and system modeling methods.
- The analysis of production processes, logistics systems, warehouses, and distribution networks using simulation tools.
- The role of simulation models in understanding dynamic processes and supporting operational decision-making.
- The relationship between simulation models and digital twins in modern manufacturing environments.
- Practical approaches for developing, evaluating, and applying simulation-based solutions to real-world industrial challenges.
Your key takeaways
Participants
- Gain a solid understanding of simulation methods and their role in analyzing and improving production systems.
- Learn how to develop and evaluate simulation models for manufacturing, logistics, and supply network applications.
- Develop the ability to analyze dynamic processes, identify improvement opportunities, and support decision-making through simulation results.
- Understand the relationship between simulation models and digital twins, including their benefits for modern industrial environments.
- Build practical skills in selecting and applying appropriate simulation approaches for complex production and operational challenges.
Taught by recognized experts in Simulation of Production Systems and Digital Twins
Benefit from the knowledge of leading specialists with extensive experience in research and industry. Their deep expertise guarantees a course of outstanding academic and practical quality.
Dr.- Ing. Marion Baumann
Dr.-Ing. Marion Baumann is Head of the Logistics Systems Department at the Institute for Material Handling and Logistics Systems (IFL), Karlsruhe Institute of Technology (KIT). Her research focuses on analytical modelling, virtualisation, performance evaluation and optimisation of production and supply chain networks, including discrete-time queueing systems and simulation studies for material flow systems. She leads projects such as DCRM and Productive 4.0, advancing smart and efficient logistics solutions. With a PhD in Mechanical Engineering from KIT, she combines academic excellence with applied research in modern logistics engineering.
Dr. Sven Spiekermann
Prof. Dr. Sven Spieckermann studied Business Informatics at TU Darmstadt and completed his doctorate at TU Braunschweig. With over 30 years of experience, he is a leading expert in simulation consulting and project management at SimPlan Group, where he serves as board member responsible for finance and controlling. He combines strategic leadership with deep technical expertise in simulation-based decision support. As a lecturer at TU Braunschweig, TU Darmstadt, and honorary professor at Karlsruhe Institute of Technology (KIT), he shares his knowledge with students and regularly publishes in national and international scientific journals.
Who should attend
This course is ideal for:
- Engineers and production professionals seeking to understand simulation methods and their application in manufacturing and supply network systems.
- Operations and supply chain specialists looking to improve their ability to analyze, model, and optimize complex production processes.
- Professionals involved in digital transformation, smart manufacturing, and the implementation of digital twin technologies in industrial environments.
- Early-career professionals and technical specialists who want to build practical expertise in simulation modeling, process analysis, and data-driven improvement of production systems.
Advance your career with KIT-level expertise
Benefit from the reputation of the Karlsruhe Institute of Technology (KIT) while gaining practical skills, flexible learning opportunities, and a recognized certificate to support your long-term professional growth
Flexibility
Gain focused expertise in a specific field without committing to a full degree program, allowing you to build relevant knowledge efficiently and integrate learning seamlessly into your professional routine.
Relevance
Benefit from high-quality academic content combined with practical insights, delivered by experienced experts, supporting continuous, lifelong learning while ensuring direct applicability in real-world scenarios.
Advancement
Enhance your professional profile with a recognized certificate, demonstrating your commitment to ongoing development and supporting your career with tangible, verifiable credentials.
About HECTOR School
HECTOR School, the Technology Business School of the Karlsruhe Institute of Technology (KIT), is a leading provider of executive education in technology-driven fields.
For this course, participants who successfully complete the examination can earn a KIT certificate with ECTS credits, which may be credited toward our Executive Master of Science or Advanced Studies Programs, subject to content alignment.