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May 04, 2024
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ISE 5130 - Industrial Computer Simulation
Simulation of industrial engineering systems using discrete event simulation. Events definition and classification. Application of event modeling approaches: event graphs, entity life cycle diagram, pseudo-code. Process modeling approach to simulation using visual modeling tools. Coverage of basic (entities, processes, and resources), intermediate (queues, seize and release), and advanced (entity transport) modeling concepts. Planning of simulation experiments and statistical analysis of the results. Animation of simulated model. Application of simulation in manufacturing, production, and service areas. Lab projects using simulation software.
Requisites:
Credit Hours: 3
Repeat/Retake Information: May not be retaken.
Lecture/Lab Hours: 2.0 lecture, 2.0 laboratory
Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I
Learning Outcomes:
- Apply basic queuing model formulas.
- Design simulation experiments for non-terminating systems.
- Design simulation experiments for terminating systems.
- Develop a graphical model for simulated system.
- Explain how numbers are generated from probability distributions by converting [0-1] numbers using the inverse transform technique
- Explore and evaluate commercial simulation software.
- Interpret the results from simulation experiments.
- Perform input analysis using statistical software.
- Perform result analysis for comparing similar systems.
- Simulate manufacturing systems.
- Simulate service oriented systems.
- Use common model concepts (e.g., variables, attributes, balking, labels, reliability).
- Use the basic building blocks of simulation models (source / queue / server / sink).
- Utilize a commercial discrete event simulation package (Simio, Arena, FlexSim, Promodel, or similar).
- Apply advanced modeling concepts (e.g., vehicle routing and material handling).
- Identify, model, and apply constraints during simulation experiments.
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