Production SimulationLaajuus (3 cr)
Code: KL25AB75300
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.
Qualifications
No previous studies are required.
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.
Materials
Material for assignments and theoretical portion of the course in Finnish and in English.
Enrollment
22.04.2024 - 04.09.2024
Timing
26.08.2024 - 13.10.2024
Credits
3 op
Teaching languages
- Finnish
- English
Degree programmes
- Bachelor of Engineering, Automation Engineering
Teachers
- Jarkko Pakkanen
Student groups
-
AUTE22KADegree Programme in Automation Engineering, Full-time studies
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 80 hours studying, which includes 30 hours of classroom education.
Evaluation scale
1-5
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.
Assessment methods and criteria
Course Exercise (60%), Written theory exam (30%), Other exercises (10%)
Assessment criteria, satisfactory (1)
Student has not passed theoretical exam or course exercise is rejected.
Assessment criteria, good (3)
Students has passed theoretical exam and shows satisfactorily learning outcomes in exercises.
Assessment criteria, excellent (5)
Students has passed theoretical exam well and shows well learning outcomes in exercises.
Assessment criteria, approved/failed
Students has passed theoretical exam commendably and shows commendably learning outcomes in exercises.
Qualifications
No previous studies are required.
Enrollment
17.04.2023 - 06.09.2023
Timing
21.08.2023 - 08.10.2023
Credits
3 op
Teaching languages
- Finnish
- English
Degree programmes
- Bachelor of Engineering, Automation Engineering
Teachers
- Jarkko Pakkanen
Student groups
-
MAUTE21
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.
Evaluation scale
1-5
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.
Assessment methods and criteria
Course Exercise (60%), Written theory exam (30%), Other exercises (10%)
Assessment criteria, satisfactory (1)
Student has not passed theoretical exam or course exercise is rejected.
Assessment criteria, good (3)
Students has passed theoretical exam and shows satisfactorily learning outcomes in exercises.
Assessment criteria, excellent (5)
Students has passed theoretical exam well and shows well learning outcomes in exercises.
Assessment criteria, approved/failed
Students has passed theoretical exam commendably and shows commendably learning outcomes in exercises.
Qualifications
No previous studies are required.