Complex industrial system design focuses on the system as a whole. Intended Learning Outcomes are:
- To apply systems engineering methods and techniques, including planning, when realizing a given design
- To make thorough design decisions, with emphasis on costs, reliability, and optimization.
- To illustrate how joint effort from different disciplines is really necessary to achieve optimal results
- To devise complex technical systems by conducting an industry-inspired case.
Systems engineering encompasses activities involved in the design, development, production, and application of engineered systems. Focus of this course is on robots and robot-like machines.|
The course teaches a design attitude and how to use a Systems-Engineering Process (methods and techniques), a Systems-Engineering way of thinking (often called Systems-Engineering Thinking Tracks) and Systems Design Tools. A Systems-Engineering approach is used, which implies that the optimal functioning of the whole system during its entire lifecycle is concerned. This means that besides design and manufacturing, also use and disposal are considered.
The material is treated from a practical point of view: the emphasis is on the global insight in the design processes and methods and techniques for analysis and evaluation. Furthermore, the practical use of these instruments is relevant. Therefore, during the second half of the course, students work on the case study, which is shaped as a kind of role play: the students form design subteams. Each subteam must once present a part of the case, discuss presentations of all other case presentations, and once report on these discussions, which serves as a kind of design evaluation meeting.
MSc Robotics students use this case study as part of their CBL project of this quarter.