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IDA715 Discrete Event Simulation

The course covers the following topics:

  • Discrete events (random, deterministic), event scheduling, 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).

Read more about the subject in the study guide.