ME EN 5183 and 6183 Discrete Event Systems Simulation (online and on-campus)

Credit hours: 3

Anticipated Offerings: Fall semesters

Prerequisite: One course in statistics

Course Description: This course introduces discrete event simulation (through Arena® software) and how it is applied to dynamic systems. Discrete event simulation concepts such as entities, resources, and event chains are introduced. Systems will be simulated considering time (such as work schedules, machine/human performance), space (such as process layout) and resource (such as manpower, equipment) characteristics of process. In doing that, the course covers a variety of Arena features and building blocks. The course will also introduce time studies, and distribution fitting.

Student Learning Outcomes:

• Identify engineering problems related to the efficient production of goods and services.
• Model production and service systems in software (currently using Arena®)
• Measure, evaluate and improve production processes and systems
• Fit data to probability distributions using software
• Perform statistical hypothesis testing and find confidence intervals
• Communicate effectively in a professional role with specific capability to write

executive summaries, technical reports with the purpose of presenting results effectively.

Sample lectures from the Online Version of MEEN 6183

This lecture discusses the Buffon Needle experiment as a backdrop for modern simulation and is broken into two parts (about 15 minutes)

Add a button or link to MEEN _6183_Buffon_Needle Experiment Part1.mp4

Add a button or link to MEEN _6183_Extending_Buffon_Needle Experiment to modern simulations.mp4

 

This lecture describes a general introduction to the Arena software, which is used extensively in the class (about 12 minutes)

Add a button or link to MEEN _6183_IntroductionToArenaSoftware. Mp4