| FALL |
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| ESI
3312 - OPERATIONS RESEARCH I |
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In
general, this course requires you to formulate and solve deterministic
optimization problems in product and process design, manufacturing
and systems engineering. At the conclusion of this course, students
should be able to:
- Explain the importance of the operations research discipline
and identify problems that can be solved using operations
research methods
- Identify, formulate and solve the multitude of real-world
optimization problems that can be represented as linear programs
- Determine how changes in various aspects of a linear programming
formulation impact the value of the optimal solution
- Formulate and optimally solve transportation and assignment
problems
- Formulate and solve problems with binary or integer variables
using appropriate methods
- Design proper representations of network systems and solve
network problems using maximum flow or shortest path algorithms,
or the critical path method
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| EIN
5930 - RESPONSE SURFACES AND PROCESS OPTIMIZATION |
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One
of the primary goals in engineering experiments is to develop
empirical models of output performance measures as a function
of relevant system factors. These models can then be used to predict
output performance and then optimize performance, even if multiple
performance measures are involved. Response surface methodology
builds on the concepts discussed in ESI 5247 by combining statistical
experiment designs, empirical model building, and optimization
methods. Other major course topics include dealing with restrictions
on randomization, mixture experiments (ingredient-type factors
with responses that depend on the relative mix of ingredient components)
and robust design (including known nuisance sources of variability
directly into the design and analysis). Computer software programs
will be used extensively in building designs and performing appropriate
analyses. |
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| SPRING |
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| ESI
4523 - SIMULATION OF INDUSTRIAL ENGINEERING SYSTEMS |
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This
course focuses on the techniques and applications of computer
simulation to model real-world facilities and processes. Students
will be using a full-strength commercial simulation software package
to build simulations. By the end of the course, students will
be expected to properly plan simulation studies, build simulation
models, and analyze and interpret the results. Additional topics
include modeling input behavior using probability distributions,
and statistical analysis of simulation output. Simulation exercises
will facilitate model-building skills throughout the course. |
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| ESI
5247 - DESIGN AND ANALYSIS OF ENGINEERING EXPERIMENTS |
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This
course provides an introduction to designing experiments and analyzing
the results. It is intended for engineers and scientists who perform
experiments or serve as advisors to experimentation in industrial
settings. Students must have an understanding of basic statistical
concepts including the use of the normal probability distribution,
the central limit theorem, forming confidence intervals, performing
hypothesis tests, and model building using the method of least
squares. Most of these topics will be reviewed in the first few
lessons and as they are needed. |
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