Facts about the course
- ECTS Credits:
- 7.5
- Responsible department:
- Faculty of Logistics
- Course Leader:
- Yauhen Maisiuk
- Lecture Semester:
- Spring
- Teaching language:
- English
- Duration:
- ½ year
IDA715 Discrete Event Simulation (Spring 2022)
About the course
Discrete events (random, deterministic), event scheduling and handling. Queues, queue scheduling and queueing networks. Input analysis/calibration (source arrivals, node service/failures, branching). Output analysis, performance metrics (response time, throughput, utilization). Flow management (classification, delay, storage/hold, routing). Implementation (programming, coding) using simulation software. Model verification and validation. Transient removal, stopping criteria, replications. Simulation as a tool in bottleneck analysis and optimization. Experimental design, comparing alternatives. Examples from logistics (transportation, supply chains, hospitals, manufacturing).
The course is connected to the following study programs
- Master of Science in Logistics
- Master of Science in Sustainable Energy Logistics
- Exchange programme - Master's level
Required prerequisite knowledge
This course assumes you know basic probability theory and statistics (descriptive and inferential).
Recommended requirements
Knowledge of computer programming will be an advantage.
The student's learning outcomes after completing the course
The student will have aquired knowledge about computer programming, process representation of logistical systems, probabilistic representation and how performance evaluation takes place. The student will have skills in setting up and running the programs using current computer programming software, using tools to validate and verify the models, analyzing input data for model calibration as well as analyzing output data, setting up and running experimental test scenarios, and comparing these using current statistical software. The student will be competent to take part in performance evaluation of logistics systems.
Forms of teaching and learning
3 hours of lectures per week in computer lab.
Coursework requirements - conditions for taking the exam
- Mandatory coursework: Assignment(s)
- Courseworks given:
- Courseworks required:
- Presence: Required
- Comment: Submitted at specified times
Examination
- Form of assessment: Written school assessment
- Proportion: 100%
- Duration: 4 Hours
- Grouping: Individual
- Grading scale: Letter (A - F)
- Support material: Only general dictionary in mother tongue/Norwegian/English in paper version
Syllabus
Pensumoversikt