Manual Simulation_Fa09

Manual Simulation_Fa09 - Manual Simulation IE332 Hoosang Ko...

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Manual Simulation IE332 1 IE332 Fall 2009 Hoosang Ko & Prof. Shimon Y. Nof Manual Simulation Objective: Understand the principles of discrete event simulation • Events • Random number generation • Observations along time 2 IE332 Fall 2009 • Statistical measures • Output analysis
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Manual simulation example: Single Server Service – Product repair • The “System” • Four discrete events • Arrival process; service (repair) process • Time distributions 3. FINISH REPAIR 1. ARRIVE 4. EXIT 2. ENTER REPAIR P 3 3 IE332 Fall 2009 P 1 W A I T in Queue P 2 Inter- Arrival Time Service Time Service (Repair) Time Distribution Probability Service (Minutes) 0.40 3.0 0.60 5.0 1.00 4 IE332 Fall 2009
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Inter-Arrival Time (IAT) Distribution Probability Time (Minutes) 0.25 2.0 0.35 3.0 5 IE332 Fall 2009 0.40 4.0 1.00 Random Number Generation Suppose Range is 0-9, 0-99, 0-999, 0-9999, etc. Random = Equal probability for each number in the range 0 39 40 Numbers Ex. Service time 40% 3.0 min.
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Manual Simulation_Fa09 - Manual Simulation IE332 Hoosang Ko...

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