Archived lectures from IEE 475 (Simulating Stochastic System) given by Ted Pavlic at Arizona State University. A course on discrete event system simulation focused on Industrial Engineering undergraduate students or others learning to use good simulation methodologies.
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Archived lectures from IEE 475 (Simulating Stochastic System) given by Ted Pavlic at Arizona State University. A course on discrete event system simulation focused on Industrial Engineering undergraduate students or others learning to use good simulation methodologies.
Lecture B3 (2025-09-09): DES Examples, Part II (and post-lab discussion for Lab 2)
IEE 475: Simulating Stochastic Systems
1 month ago
Lecture B3 (2025-09-09): DES Examples, Part II (and post-lab discussion for Lab 2)
In this lecture, we close out our review of DES fundamentals and hand simulation. After going through a hand-simulation example one last time, we show how to implement a Discrete Event System (DES) simulation using a spreadsheet tool like Microsoft Excel without any "macros" (VBA, etc.). This involves defining relationships ACROSS TIME that allow the spreadsheet to (in a declarative fashion) reconstruct the trajectory that is the output of the simulation. At the end of the lecture, we pivot to discussing the previous "Lab 2 (Muffin Oven Simulation)", which lets us introduce common random numbers (CRNs), statistical blocking, requirements of 2-sample and paired t-tests, and more sophisticated statistical methods that better characterize PRACTICAL significance (and take into account the multiple comparisons problem). Thus, the post-lab2 reflections are largely a preview of future topics in the course.
IEE 475: Simulating Stochastic Systems
Archived lectures from IEE 475 (Simulating Stochastic System) given by Ted Pavlic at Arizona State University. A course on discrete event system simulation focused on Industrial Engineering undergraduate students or others learning to use good simulation methodologies.