TNSL07 · 6 credits · Basic level (G2F) · Logistik
Simulation of Logistics Systems
Active · next start VT 2027
94%
passed the latest ordinary exam
TEN1 · 24 Mar 2026 · 32 students
83%
passed the ordinary exams, all sittings over the last 5 years
TEN1 · 154 students
18%
Harder than 18% of courses at basic level
Compared with 874 courses at the same level, ordinary exams over the last three academic years. 32 students.
Part of 2 programmes
Exam
TEN1 Written examination
- 5
- 4
- 3
- U
Ordinary exams
83% passed · 154 students
- 94%32
- 79%33
- 81%43
- 80%46
Re-exams
50% passed · 34 students
- 86%14
- 0%5
- 38%8
- 29%7
- Pass the re-exam: 50% (34 students), compared with 83% (154 students) on the ordinary exam
- Get 4 or 5: 49% (188 students)
Show small sittings (7)
Sittings with fewer than 5 students, often credit transfers or special sittings. They are not part of any figure on this page.
- 100%1
- 100%1
- 100%1
- 50%4
- 25%4
- 100%4
- 50%4
Other modules
Partial exams, hand-ins and labs. They are not part of the figures at the top.
Hand-in or lab
LAB1 Laboratory work
- G
Main rounds
100% passed · 68 students
- 100%22
- 100%26
- 100%20
Later rounds
100% passed · 47 students
- 100%7
- 100%16
- 100%6
- 100%8
- 100%10
- Pass a later round: 100% (47 students), compared with 100% (68 students) on the ordinary exam
Show small sittings (15)
Sittings with fewer than 5 students, often credit transfers or special sittings. They are not part of any figure on this page.
- 100%2
- 100%2
- 100%3
- 100%3
- 100%4
- 100%3
- 100%4
- 100%1
- 100%2
- 100%1
- 100%4
- 100%4
- 100%3
- 100%3
- 100%2
About the course
Aim
The main goal of this course is to provide students with basic knowledge in discrete-event simulation and its use for the analysis of logistics systems. The course also aims at providing practical experience in simulation modeling. After completion of the course the student will be able to:
- Describe fundamental concepts in discrete-event simulation.
- List and explain advantages and disadvantages of simulation as analysis tool.
- Model stochastic input data with probability distributions and assess quality of input models.
- Build simulation models of logistics systems.
- Perform analysis with simulation models and draw conclusions from stochastic simulations.
Content
- Fundamental concepts of discrete-event simulation.
- Setting up and conducting a simulation study.
- Conceptual modelling.
- Input data modelling.
- Verification and validation of simulation models.
- Experimentation and output analysis.
- Use of simulation tools for modelling and analysis.
- Applications of simulation. Simulation of logistics systems.
- Examiner
- Krisjanis Steins
- Scheduled hours
- 58 h
- Main field of study
- Logistik