Stochastic Models of Manufacturing Systems
Certificate Course - Productions & Operations Management - POM.2.2.I26
| Date | Mar 1 - 5, 2027 |
| Duration | 2,5 days |
| Location | On campus - Karlsruhe |
| Language | English |
| ECCTS | upon request |
| Cost | 1,800€ |
Fundamentals
Introduces the fundamental concepts of stochastic modeling and provides an overview of analytical approaches for understanding and improving the performance of manufacturing systems.
Technology
Explores methods for modeling production systems, including queuing theory, stochastic processes, and performance analysis techniques for evaluating complex manufacturing networks.
Applications
Examines practical applications of stochastic models in production environments, including Lean Management, material flow optimization, and data-driven decision-making for efficient manufacturing systems.
What you'll explore
- The fundamentals of stochastic processes and their application in manufacturing and production systems.
- Analytical methods for modeling and evaluating single-stage systems and complex queuing networks.
- The impact of variability, dependencies, and uncertainty on the performance of manufacturing systems.
- Methods for calculating operational performance indicators and analyzing system behavior.
- The application of stochastic models to Lean Management concepts and production optimization.
- Practical approaches for analyzing real-world manufacturing scenarios using model-based methods.
Your key takeaways
Participants
- Gain a solid understanding of stochastic models and their role in analyzing and improving manufacturing systems.
- Learn how to evaluate the performance of production networks using analytical methods and operational metrics.
- Develop the ability to apply queuing theory and stochastic approaches to understand variability and interdependencies in manufacturing processes.
- Understand how stochastic models support Lean Management methods and decision-making in production environments.
- Build practical skills to analyze complex manufacturing systems and improve operational efficiency through model-based approaches.
Taught by recognized experts in Stochastic Models of Manufacturing Systems
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.
Prof. Dr.- Ing. Kai Furmans

Prof. Dr.-Ing. Kai Furmans is Director of the Institute for Material Handling and Logistics Systems at the Karlsruhe Institute of Technology (KIT). His research focuses on stochastic models in production and logistics, lean material flow systems, cyber-physical logistics in Industry 4.0, and risk management in supply chains. With a background in industrial engineering and extensive leadership experience in academia and industry, including Bosch, he combines analytical logistics methods with real-world applications. At KIT, he advances innovative, resilient and data-driven logistics and supply chain systems for future industrial environments.
Who should attend
This course is ideal for:
- Engineers and production professionals seeking to understand stochastic models and their application in manufacturing systems.
- Operations and supply chain specialists looking to improve their knowledge of production processes, material flows, and system performance.
- Professionals involved in manufacturing optimization, Lean Management, and data-driven decision-making in industrial environments.
- Early-career professionals and technical specialists who want to build practical expertise in production system analysis, simulation, and the management of complex manufacturing networks.
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.