Courses: SYSC 527/627: Discrete System Simulation
Instructor: Wayne Wakeland
Associate Professor, Systems Science. Wayne earned his Ph.D. in Systems Science, and has taught modeling and simulation courses at PSU for many years. He also has twenty years of industrial experience in manufacturing and Information Technology.
The mathematical basis for discrete system simulation (DSS) is probability theory and queuing theory. It is used extensively in the fields of operations research, civil engineering, systems engineering, industrial engineering, manufacturing engineering, engineering management, systems analysis, etc. Students learn how to use DSS to model systems of interest.
Meeting Times: Tuesdays from 6:40 to 10:00 PM.
Content is delivered asynchronously via Blackboard, and is supplemented by the lab times scheduled on Tuesdays with the instructor and a lab assistant available. During this time students will build models and do "labs" that illustrate important principles. From 7:30 to approximately 8:30 PM the instructor will review key concepts, answer questions, and discuss the labs, exercises, and project work, as appropriate.
Students apply discrete system simulation to projects within their field of interest. Examples of past student projects include: production floor layout, computer network design, helicopter logging, patient scheduling at a health care facility, customer flow through a cafeteria, traffic flow regulation via on-ramp meters, scheduling/design of a heavy duty equipment maintenance shop, automated testing facility for integrated circuits, the X-ray inspection facility at a castings manufacturer. oil tanker loading at the end of the Alaska pipeline, production & inventory control at a hydraulic equipment manufacturer, and others.
Simulation Language: ARENA from Rockwell Software
A state-of-the-art simulation package for the PC and Unix workstations that features: 1) ease of model specification using general purpose models and blocks, augmented by discrete logic as needed, 2) special blocks to make it easier to model manufacturing systems & processes, 3) support for animation, including importing graphics from CAD S/W, 4) a full set of statistical utilities for analyzing both input and output data, and 5) full integration with Microsoft applications.
50% Exercises (Ex.2 = 10%, Ex.3 = 10%, Ex.4 = 15%, Ex.5 = 15%)
30% Project (Proposal = 10%, Report = 20%)
Kelton, Sadowski and Sturrock, Simulation with ARENA, 4th ed., McGraw-Hill, 2006.
Graduate standing, a windows-based PC, web access, computer savvy. Some background in probability and statistics very helpful. Programming, per se, is helpful, but not required.
Contact Wayne Wakeland: email@example.com, (503) 725-4975