Facts about the course

Study points:
7.5
Responsible department:
Faculty of Logistics
Course Leader:
Ketil Danielsen
Lecture Semester:
Spring
Teaching language:
English
Duration:
½ year

IDA715 Discrete Event Simulation (Spring 2019)

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). Requirements analysis and model design. Implementation using simulation software. Model verification and validation. Transient removal, stopping criteria, replications. Simulation as a tool in optimization (experimental design, comparing alternatives). Logistics case studies (transportation, supply chains, hospitals, manufacturing).

The course is connected to the following study programs

The student's learning outcomes after completing the course

The student will know how to use discrete event simulation for studying the performance of a distribution system.

Forms of teaching and learning

3 hours of lectures per week

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

Exact required reading list is given at the semester start.  Supplementary literature includes text books such as Kelton et.al., Simulation with Arena and Rossetti, Simulation Modeling and Arena.

Last updated from FS (Common Student System) Dec. 8, 2019 9:30:23 PM