The course teaches basic models and advanced analysis methods in freight transport planning related to purchasing, production and distribution. The course covers both conceptual level and detailed analysis of supply chains. Teaching is carried out through lectures, advanced analysis methods in a computer environment (laboratory), assignments and project work.
The course deals with decision models for designing supply chains at a detailed level through advanced analysis methods. During laboratory sessions, the design and character of supply chains are analyzed, regarding warehouses, production and delivery processes. Students will become familiar with and use data sources for freight transport.
The course's objective is to provide practical knowledge of advanced analysis methods such as simulation, optimization, prediction, AI and data analysis, which are used to improve the efficiency of the supply chain.
After passing the course, the student should be able to:
- Understand basic concepts in system dynamics applied to supply chains
- Model and analyze how decisions about changed flows affect the stability and efficiency of the supply chain.
- Model supply chains in multiple stages and networks
- Design a supply chain related to the character of a particular market
- Apply methods and tools to analyze problems related to logistics and the planning, construction and operation of supply chains.
- Critically and independently identify and formulate societal issues in transport logistics, which include economic, ecological and social sustainability
