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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.

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