Production simulation (3 cr)
Code: KL25AB75300-3002
General information
- Enrollment
- 17.04.2023 - 06.09.2023
- Registration for the implementation has ended.
- Timing
- 21.08.2023 - 08.10.2023
- Implementation has ended.
- Number of ECTS credits allocated
- 3 cr
- Local portion
- 3 cr
- Mode of delivery
- Contact learning
- Unit
- SeAMK Automation Engineering and Information Technology
- Campus
- SeAMK Seinäjoki, Frami
- Teaching languages
- Finnish
- English
- Seats
- 0 - 35
- Degree programmes
- Bachelor of Engineering, Automation Engineering
- Teachers
- Jarkko Pakkanen
- Course
- KL25AB75300
Evaluation scale
1-5
Objective
Students will be competent in explaining how discrete simulation can be used in production material flow optimization. Student will be adept in verifying production control methods and designing resources by using simulation software. Students will also be competent in identifying problems in production and making a simulation model to improve a given situation.
Content
Fundamental principles of simulation and application examples, properties of simulation tools, areas of use and limitations, phases of a simulation project and what it involves, use of simulation software.
Materials
Lecture material, Lecture demonstrations, Assignments, Product and programming manuals
Teaching methods
Lectures, Demonstrations, Assignments, Course Exercise (group work). used software during cource is Siemens Plant Simulation
Student workload
A total of 100 hours studying, which includes 40 hours of classroom education.
Assessment criteria, satisfactory (1)
1 Student knows the basics of the course. Students will be competent in explaining how discrete simulation can be used in production material flow optimization. Student will be adept in verifying production control methods and designing resources by using simulation software.
Assessment criteria, good (3)
3 Student knows the contents of the course well. Students will be competent in explaining how discrete simulation can be used in production material flow optimization. Student will be adept in verifying production control methods and designing resources by using simulation software. Students will also be competent in identifying problems in production.
Assessment criteria, excellent (5)
5 Student knows the contents of the course well and can apply their knowledge in practice. Students will be competent in explaining how discrete simulation can be used in production material flow optimization. Student will be adept in verifying production control methods and designing resources by using simulation software. Students will also be competent in identifying problems in production and making a simulation model to improve a given situation.
Qualifications
No previous studies are required.