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Dec 26, 2024
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IE 383 - Simulation3 lecture hours 2 lab hours 4 credits
Course Description
Focusing on discrete-event systems, this course incorporates spreadsheets, simulation languages, and simulation software to analyze, design, and improve production and service systems. The simulation process and statistical analysis of input and output are addressed. A strong emphasis is placed on decision making and design. (prereq: IE 3820 and IE 1190 )
Course Learning Outcomes
Upon successful completion of this course, the student will be able to:
- Perform simulations of basic manufacturing and service systems
- Select, analyze, and/or design processes using simulation
- Improve problem solving skills
- Improve communication skills
Prerequisites by Topic
- Understanding of probability distributions
- Queuing theory
- Computer programming
- Statistics
Course Topics
- Introduction to discrete event simulation
- Simulation theory and techniques
- Random number generation
- Logic of single-queue, single-server systems
- Basic nodes and control statements
- Resources and gates
- Logic and decision nodes
- Statistical analysis
- Simio software
- Simulation with Excel
- MPX dynamic modeling
- Applications
Laboratory Topics
- To gain familiarity with simulation using Excel and Simio
- A design project may be conducted as a portion of the lab
- Also, visits to companies and guest speakers who use simulation may be scheduled
Coordinator
Dr. Aaron Armstrong
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