Production process designing (3 cr)
Code: KL25AB75200-3010
General information
Enrollment
14.11.2022 - 22.02.2023
Timing
06.03.2023 - 04.06.2023
Credits
3 op
Teaching languages
- Finnish
- English
Degree programmes
- Bachelor of Engineering, Automation Engineering
Teachers
- Toni Luomanmäki
Student groups
-
MAUTE21
Objective
Upon completion of the course, students will recognize the meaning of simulation in production process design. Student know the basics of the robot simulation and is able to simulate basic industrial robotic cells. Understand how it is applied in industrial robotics design. Furthermore, students will be able to apply simulation on production based human ergonomics design.
Content
- The basics of simulation in production process workflow desing (applications, benefits/limitations, phases of a robotic simulation process, ergonomics simulation)
- Use of process simulation software
- Development of simulations of different production processes
- Ergonomics design based on 3D human models (stress analysis, reach analysis, field of view analysis)
Materials
Lecturer handouts, web-based tutorials, and instructions
Teaching methods
Interactive lectures, software exercises, independent assignments
Student workload
Lectures 19 h, independent work 51 h
Evaluation scale
1-5
Assessment criteria, satisfactory (1)
Satisfactory (1...2): The student is able to model a production cell. The student knows and understands to a basic concepts and methods of topics, and is able to apply them to usual problems.
Assessment criteria, good (3)
Good (3...4): The student is familiar with the concepts and methods of topics, and is able to apply them to different types of problems. The student is able to model a production cell.The student is able to combine the accumulated knowledge and skills with previous experiences in the subject.
Assessment criteria, excellent (5)
Excellent (5): The student is familiar with the concepts and methods of topics, and is able to apply them to a variety of different problems. The student is able to model a production cell and production lines. The student has demonstrated creativity and innovation, and is able to find new meanings when applying what they have learned. The student is able to analyze production parameters and optimize production.
Assessment methods and criteria
Personal assignments. Grading will be announced during the course
Qualifications
No previous studies are required