Production Systems Modelling and Optimisation
Syllabus, Master's level, 1TS360
- Code
- 1TS360
- Education cycle
- Second cycle
- Main field(s) of study and in-depth level
- Industrial Engineering and Management A1N, Technology A1N
- Grading system
- Pass with distinction (5), Pass with credit (4), Pass (3), Fail (U)
- Finalised by
- The Faculty Board of Science and Technology, 25 February 2025
- Responsible department
- Department of Civil and Industrial Engineering
Entry requirements
120 credits, of which 90 credits in technology and 20 credits in mathematics. Proficiency in English equivalent to the Swedish upper secondary course English 6.
Learning outcomes
On completion of the course, the student should be able to
- explain the fundamental principles and applications of simulation and optimisation in the context of logistics and production systems,
- analyse the impact of variability, system dynamics, and performance metrics on the operation and efficiency of logistics and production systems,
- develop and evaluate conceptual models to represent and analyse logistics and production systems,
- apply statistical and probabilistic methods to model, analyse, and evaluate input data for simulation and optimisation,
- design and conduct simulation-based experiments,
- use appropriate tools and methods to assess system performance and explore optimisation strategies,
- identify, evaluate, and apply optimisation strategies to address trade-offs and improve outcomes in logistics and production system.
Content
Simulation and optimisation techniques for logistics and production systems, including event-driven simulation and performance analysis. Applications of statistical methods to model system inputs, evaluation of system performance, and optimisation of logistics and production processes using simulation-based optimisation tools. Examples of optimisation with respect to different types of goals, including sustainability-related. Various optimisation strategies, including metaheuristic algorithms.
Instruction
Lectures, laboratory sessions.
Assessment
Laboratory sessions, written assignments, written exam.
If there are special reasons for doing so, an examiner may make an exception from the method of assessment indicated and allow a student to be assessed by another method. An example of special reasons might be a certificate regarding targeted pedagogical support from the disability coordinator of the university.
Other regulations
The course may not be included in a degree together with 1TE776 Logistics Systems Modelling and Optimisation.
Reading list
No reading list found.