Logistics Systems Modelling and Optimisation
5 credits
Syllabus, Master's level, 1TE776
A revised version of the syllabus is available.
- Code
- 1TE776
- Education cycle
- Second cycle
- Main field(s) of study and in-depth level
- Industrial Engineering and Management A1N, Technology A1N
- Grading system
- Fail (U), Pass (3), Pass with credit (4), Pass with distinction (5)
- Finalised by
- The Faculty Board of Science and Technology, 6 March 2018
- Responsible department
- Department of Civil and Industrial Engineering
Entry requirements
120 credits. 20 credits in mathematics. Industrial Management
Learning outcomes
After a successfully completed course the student should be able to:
- account for statistics and probability theory used for modeling logistics and production systems as well as for analysis of inputs and results,
- account for the principles of event-driven simulation,
- account for the general theoretical and methodological framework for simulation projects including experimental design,
- • account for various optimization techniques and their specific applications in optimizing logistics and production systems,
- apply conceptual models for analysis of different system scenarios,
- optimize logistics and production systems using a specific conceptual simulation-based optimization tool.
Content
Mathematical modelling of logistic systems including queue models. Event-driven simulation and analysis of different types of logistics and production systems, such as functional workshop, production line, party and drag control and aggregated supply chains. System optimization where the effective front of target conflicts is analysed using metaheuristic algorithms.
Instruction
Lectures, laboratory sessions.
Assessment
Laboratory sessions, written assignments, written exam.
Reading list
No reading list found.