MIE360 3 The course - 4 C h e c k Collect Real Output Data...

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Consider a simple setting You are an attendant in a small store 7 9 pm What % of the time will you be able to study? On average, how many clients wait to pay? On average, how long do clients have to wait? 1
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P D C A 2
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P l a n Formulate and plan study Develop model structure Model = User Assumptions No Yes Are Queuing Models Sufficient? Yes No Develop Simulation (DES) Model! Develop Queuing Model! PDCA for a simulation / queuing study 3
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D o Develop a DES / Queuing model Collect input data for input distributions Perform Pilot Runs Verify Model = Developer Assumptions No Check (Validate Model) Yes Fit Input distributions
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Unformatted text preview: 4 C h e c k Collect Real Output Data Validate Model = Real Outputs Collect Model Output Data Production Runs Yes No Do (Develop Model) 5 A c t Perform What if Analyses Prepare recommendations Are recommendations accepted ? Return to PLAN! Implement changes 6 PDCA for a simulation / queuing study 7 Role of Class/Tut , Lab and Project 8 Starting at the beginning? 9 Is that all? Some basics: Mechanics of Simulation PDCA Cycle Advanced topics Variance Reduction Experimental Design Optimization 10...
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This note was uploaded on 09/20/2011 for the course MIE 360 taught by Professor D.frances during the Fall '10 term at University of Toronto- Toronto.

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MIE360 3 The course - 4 C h e c k Collect Real Output Data...

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