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SIMULATION

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Learning Outcomes

  • do basic definitions related with the simulation and explain the steps of a simulation study
  • explain basic concepts related to simulation
  • define simulation’s objectives, advantages and disadvantages.
  • give examples about components of a system
  • explain basic steps of simulation
  • do a simulation study with spreedsheet approach
  • create random number ranges
  • make tables according to events in system
  • define the events with help of random numbers
  • calculate system output performance
  • Generate random numbers and random variables
  • generate random number
  • test random number
  • generate discrete random variable
  • generate continuous random variable
  • Make input analysis for simulation model
  • decide the distribution of data with scatter plot
  • know parameters of distributions and estimate them
  • test data for fitting a distribution
  • use Arena for a simulation study
  • analyze input data with Arena Input Analyzer
  • use basic modules
  • use advanced modules
  • use entity transfer modules
  • use blocks
  • analyze output data with Output Analyzer
  • use Process Analyzer to compare different models
  • make output analysis
  • create confidence interval for performace indicators obtained from model
  • calculate the sample size of replication
  • make validation of model
  • compare two systems
  • apply simulation method for a real or designed model by taking a part in a group
  • choose a system for simulation study
  • collect data that needed
  • establish conceptual model of system and decide the performance parameters
  • transform conceptual model to the computer and test work fine
  • run model and keep results for performance indicators
  • report all project
  • present in class
  • Description
  • Content
  • Learning Outcomes
  • Learning Activities and Teaching Methods
  • Course's Contribution to Prog.
  • Assessment Methods
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