TPPE99 · 6 credits · Advanced level (A1N) · Industriell ekonomi
Simulation in Production and Logistics
Active · next start HT 2026
100%
passed the latest ordinary exam
DIT1 · 31 Oct 2025 · 37 students
100%
passed the ordinary exams, all sittings over the last 5 years
DIT1 · 72 students
Part of 4 programmes
Exam
DIT1 Digital examination
- 5
- 4
- 3
Ordinary exams
100% passed · 72 students
- 100%37
- 100%35
Re-exams
No sittings with at least 5 students.
- Get 4 or 5: 83% (72 students)
Show small sittings (1)
Sittings with fewer than 5 students, often credit transfers or special sittings. They are not part of any figure on this page.
- 100%1
Other modules
Partial exams, hand-ins and labs. They are not part of the figures at the top.
Exam
TEN1 Written examination
- 5
- 4
- 3
- U
Ordinary exams
92% passed · 131 students
- 95%39
- 88%40
- 94%52
Re-exams
87% passed · 15 students
- 100%6
- 78%9
- Pass the re-exam: 87% (15 students), compared with 92% (131 students) on the ordinary exam
- Get 4 or 5: 75% (146 students)
Show small sittings (4)
Sittings with fewer than 5 students, often credit transfers or special sittings. They are not part of any figure on this page.
- 100%1
- 50%2
- 100%1
- 100%1
Hand-in or lab
LAB1 Computer labs
- 5
- 4
- 3
Main rounds
100% passed · 103 students
- 100%13
- 100%25
- 100%20
- 100%29
- 100%16
Later rounds
100% passed · 39 students
- 100%12
- 100%8
- 100%9
- 100%10
- Pass a later round: 100% (39 students), compared with 100% (103 students) on the ordinary exam
- Get 4 or 5: 92% (142 students)
Show small sittings (10)
Sittings with fewer than 5 students, often credit transfers or special sittings. They are not part of any figure on this page.
- 100%4
- 100%2
- 100%2
- 100%2
- 100%2
- 100%2
- 100%2
- 100%3
- 100%4
- 100%2
About the course
Aim
Discrete Event Simulation (DES) is a methodology for system analysis. The DES methodology includes abstraction, data collection, modeling, validation and verification, experimentation, output analysis, and implementation of simulation results.
The student is expected to demonstrate the ability to:
- Apply DES methodology that include abstraction, data collection, and modeling to analyze a real system’s performance
- Apply DES methodology that includes validation and verification, experimentation, and output analysis to analyze a real system’s performance
- Practically apply DES methodology by building simulation models of manufacturing and logistics systems
- Evaluate the use of DES in a decision-making context
Content
- Fundamental concepts in discrete-event simulation.
- Conceptual modeling.
- Input modelling.
- Software Arena specific modelling.
- Validation and Verification.
- Model experimentation.
- Simulation Methodology.
- The practice of simulation as a decision-making tool.
- Examiner
- Fredrik Persson
- Scheduled hours
- 58 h
- Main field of study
- Industriell ekonomi