MIE360 8CLT & Quant Validation

MIE360 8CLT & Quant Validation - MIE360 System...

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MIE360 System Modeling and Simulation Lecture Notes Daniel Frances © 2010 1 Lecture 8 – The Role of the Central Limit Theorem in Quantitative Validation Suppose you completed the model to estimate the average time it takes parts to flow through the system. Every time you run the simulation for one week you obtain the same estimate 4.1 hrs. You want to know if your results are in the ballpark, so you collect data for a particular day you ID each individual part that entered the system in that day, say p1 to p542 you collect the time of arrival into the system of each part you collect the time of departure from the system you notice that some parts entered but have not left yet. so you need to continue to monitor until all 542 items have exited now you realize that you need to check if items remained in your simulation more than a week you make sure you find out their exit times in subsequent days of all 542 items. you then calculate for each item the time in the system t = exit time of item – entry time of item and finally average actual stay in the system = Σ t/542 Suppose t =3.5 hrs. Not bad. Can we stop? NO! We have to collect more data, Collecting More Data For reality, we have no problem; just collect data for another 4 days, as we did the first time. Suppose we do so and obtain: 3.5, 4.2, 3.2, 5.1, 2.8
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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 8CLT & Quant Validation - MIE360 System...

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