Simulation of Production Processes (4cr)

Objective

After completing the course, the student will be able to select a simulation method and software suitable for the intended purpose and build simulation models of production processes, justifying their methodological and modeling decisions. The student combines and parameterizes components by utilizing 3D models and programming interfaces to develop the simulation model’s operational logic. In addition, the student analytically processes input and output data, performs simulation runs under different scenarios, and reports the results using various methods. The student also programs and applies robotics as part of the simulation models.

Content

- Simulation technology (purpose, methods, software, advantages and challenges, simulation project)
- Basics of Simulation software (user interface, software features)
- Process Modelling method in simulation model development (product, process, and flow definitions)
- Component modeling using CAD models (importing and handling 3D models, behavior elements, parameters)
- Python API in component modeling
- Input modeling (e.g. arrival intervals, process times, selection of distributions)
- Output analysis (e.g. statistics, reporting, confidence interval)
- Programming and simulation of robots

Qualifications

Production Processes course

Assessment criteria, satisfactory (1)

The student builds a basic model using simulation software, utilizes ready-made components, enters key input data, and reports the main results of the simulation runs. The student programs and simulates robotics as a separate function.

Assessment criteria, good (3)

The student independently builds a functional simulation model and justifies the main choices made. The student defines appropriate input data, compares scenarios, uses components and robotics purposefully, and presents clear conclusions. The student is able to utilize programming interfaces where applicable.

Assessment criteria, excellent (5)

The student designs and develops simulation models comprehensively. The student makes extensive use of component parameterization and programming interfaces, programs and simulates robotics as part of the process, and produces analytical and data-driven reports. Based on the analyses, the student implements changes in production processes and seeks optimal solutions to production challenges. The student’s competence is also demonstrated through independent, goal-oriented, and development-oriented work, where the student recognizes their own expertise and its direction for further development.