InputAnalysis - Chapter 4 – Modeling Basic Operations and...

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Unformatted text preview: 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 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 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) 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 10-2Arena ReadWrite module ....
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This note was uploaded on 03/01/2012 for the course ECON 101 taught by Professor Smith during the Spring '10 term at Abraham Baldwin Agricultural College.

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InputAnalysis - Chapter 4 – Modeling Basic Operations and...

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