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Apr 20, 2024
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EGR 6020 - Simulation Modeling and Analysis3 lecture hours 0 lab hours 3 credits
Course Description
The purpose of this course is to introduce students to the basic concepts of engineering systems using simulation. Topics covered include classification of systems and models, steps in developing computer models for discrete event systems, random number generation, queueing theory, input analysis using probability distributions, statistical analysis of output analysis, simplification, verification, validation, and applications of simulation modeling and analysis. To provide the student with practical experience, commercial simulation software is used to implement and simulate the models. (prereq: graduate standing)
Course Learning Outcomes
Upon successful completion of this course, the student will be able to:
- Identify the need and the role of simulation in analyzing real engineering systems
- Learn queueing principles and apply to arrivals and processes
- Analyze input using probability distributions
- Perform basic simulations of manufacturing and service systems
- Analyze output using statistical means for comparing systems
- Model systems with detailed operations using a software
- Formulate system improvement and optimization based on verification and validation
Prerequisites by Topic
- Computer programming
- Probability and statistics
Course Topics
- Introduction to simulation of engineering systems and models
- Probability concepts and distributions
- Queuing theory
- Random number generation
- Simulation by hand and spreadsheets
- Modeling basic operations, serial and parallel processing
- Input analysis
- Modeling detailed operations
- Statistical analysis of output
- Case studies of various simulation models
- Analysis of manufacturing and service systems
- Entity transfer
- System model, verification and validation
- Optional topic: decision theory
Coordinator
Dr. Subha Kumpaty
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