InputAnalysis - Structuralmodeling:whatwevedonesofar

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Chapter 4 – Modeling Basic  Operations and Inputs Structural  modeling:  what we’ve done so far Logical aspects – entities, resources, paths, etc. Quantitative  modeling Numerical, distributional specifications Like structural modeling, need to observe system’s  operation, take data if possible
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Chapter 4 – Modeling Basic  Operations and Inputs Deterministic :  nonrandom, fixed values Number of units of a resource Entity transfer time (?) Interarrival, processing times (?) Random  (a.k.a.  stochastic ):  model as a  distribution, “draw” or “generate” values from to  drive simulation Transfer, Interarrival, Processing times What distribution?  What distributional parameters? Causes simulation output to be random, too Don’t just assume randomness away – validity
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Chapter 4 – Modeling Basic  Operations and Inputs Generally hard, expensive, frustrating, boring System might not exist Data available on the wrong things – might have to  change model according to what’s available Incomplete, “dirty” data Too much data (!) Sensitivity of outputs to uncertainty in inputs Match model detail to quality of data Cost – should be budgeted in project Capture variability in data – model validity Garbage In, Garbage Out (GIGO)
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Chapter 4 – Modeling Basic  Operations and Inputs Use data “directly” in simulation Read actual observed values to drive the model inputs  (interarrivals, service times, part types, …) Arena ReadWrite module . .. see Model 10-2
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This note was uploaded on 03/01/2012 for the course ECON 102 taught by Professor Mehmet during the Spring '12 term at Abraham Baldwin Agricultural College.

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InputAnalysis - Structuralmodeling:whatwevedonesofar

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