The course contents will mainly be based on the following areas:
- Queueing models based on Markov processes, including models for queueing networks.
- Models for inventory optimization, deterministic as well as stochastic.
- Scheduling methods for production systems and transport systems, and route planning.
Variations may occur depending on the projects selected for the current course offering.
To pass the course, the student shall be ableto:
- Apply basic theory, concepts and methods within the parts of systems engineering that is described in the course contents to solve problems.
- Organize and collaborate in groups on projects provided by the industry or research centers, and present and explain results orally and in writing.
- Formulate mathematical models for a system, or a process, focus the scope of the model to the research questions posed in the projects, and to validate, analyze and optimize these.
- Discuss and motivate choices made on priority of aspects such as cost efficiency and sustainability.
- Read and understand mathematical writings on, for example, linear algebra, analysis and systems engineering, and their applications, communicate mathematical reasoning and computations within this area orally and in writing in such a way that it is easy to follow.
To receive the higher grades, the student shall in addition be able to:
- Explain, combine and analyze theory, concepts and methods within the parts of systems engineering that is described in the course contents and by the selected projects.
- Make well motivated model assumptions, select suitable case studies, validate and evaluate reliability, sensitivity, implementability and consequences of results in the projects.