IDA715 Discrete Event Simulation (Spring 2021)

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

The student's learning outcomes after completing the course

The student will know how to write computer programs specialized for discrete event simulations, validate and verify these programs, perform analysis of input data for calibration, analyze output data, and set up experimental runs.

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