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Lecture G2 (2020-10-20): Input Modeling, Part 2
IEE 475: Simulating Stochastic Systems
English - October 21, 2020 03:31Courses Education simulation stochastic des dess discrete event system industrial engineering modeling Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed
Previous Episode: Lecture F2 (2020-10-13): Review Before Midterm Retake
Next Episode: Lecture G3 (2020-10-22): Input Modeling, Part 3
This is the second part in a unit on input modeling for simulating stochastic systems (stochastic simulation). In the this part, we describe how to start making sense of data collected from real-world systems. We start with an example that builds a model of a single-server, single-channel queue based on summary statistics alone and demonstrate that the resulting model is a poor fit for a realistic system. We then use a histogram to reveal insights into how the system can be re-structured to be more realistic while also requiring simpler input models. This leads into a discussion on building histograms to be maximally insightful.