Production process designing (3 cr)
Code: KL25AB75200-3011
General information
- Enrollment
- 17.04.2023 - 06.09.2023
- Registration for the implementation has ended.
- Timing
- 28.08.2023 - 15.10.2023
- Implementation has ended.
- Number of ECTS credits allocated
- 3 cr
- Local portion
- 0 cr
- Virtual portion
- 3 cr
- Mode of delivery
- Distance learning
- Unit
- SeAMK Automation Engineering and Information Technology
- Campus
- SeAMK Seinäjoki, Frami
- Teaching languages
- Finnish
- Seats
- 0 - 30
- Degree programmes
- Bachelor of Engineering, Automation Engineering
- Teachers
- Toni Luomanmäki
- Groups
-
AUTE22KADegree Programme in Automation Engineering, Full-time studies
- Course
- KL25AB75200
Evaluation scale
1-5
Content scheduling
- Basics of production processes
- Modelling production processes
- Simulation of production processes
- Analysis of production processes
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
Contact teaching with possibility to participate remotely. Theoretical and software assignments.
Student workload
Lectures 28 h, independent work 32 h
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.
Qualifications
No previous studies are required