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ETM 647: Operations Research III
T/H 6:00 p.m. – 9.00 p.m.
Summer Semester 2011
Dr. Scott Schultz
Office: 201A
Phone: 301-2840
Email: [email protected]
Course Web Site: http://faculty.mercer.edu/schultz_sr/courses
Course Textbook: Introduction to Operations Research, 8th edition, by Hillier and
Lieberman, ISBN 0-07-301779-5.
Mercer Bulletin Description: Models and methods of operations research in solving
engineering and management problems. Includes decision analysis; forecasting;
inventory theory; linear, integer, goal, dynamic, and nonlinear programming;
Markov chains and decision processes; network analysis; queuing theory and
applications; simulation; and transportation and assignment problems. (Items
underlined for Operations Research III).
Prerequisites: Probability and Statistics; Calculus.
Objectives: The overall objectives of the course are:
A. Formulate and solve Markov Decision Process (MDP)
problems.
B. Formulate and solve queuing problems.
C. Solve nonlinear programming problems.
D. Solve decision analysis problems.
E. Develop forecasting models.
F. Formulate and solve linear programming (LP) problems.
Homework Assignments: Homework assignments will be assigned daily. Some will
require the use of computer.
Grading of homework: Typically a single problem will be graded. The remaining
problems will only be checked for completeness. For incomplete assignments, a grade
of 0, that is zero, will be given. I believe in that old saying of "practice makes perfect",
and therefore expect all homework to be completed.
You may work in groups on homework, however each individual must turn in the
assignment.
Queuing Project: A team queuing project will be assigned. Each team will present a
short (15-20 min.) summary of their project. All members of the team will receive the
same grade. An individual forecasting project will be assigned, requiring use of
forecasting software. The forecasting project will be presented as a written report.
Forecasting Project: A individual forecasting project will be assigned. Each individual
will be provided with a time series data set which will be fitted to a regression model and
to a forecasting model. The deliverable is a report including charts and graphs
describing the models and the results.
Grading:
Homework:
Projects:
Exam I:
Final Exam:
10%
30%
30%
30%
ETM 647 – Operations Research III
Course Outline
Lesson
1
Date
26-May
2
3
4
5
6
7
8
31
2-Jun
7
9
14
16
21
9
10
11
12
13
23
28
30
7-Jul
12
14
19
Course outline subject to change.
Topic
Intro OR and Stochastic
Processes
Probability
Markov Processes
Markov Decision Processes
Queuing Theory
Application of Queuing
Queuing Project
Queuing Project Presentation,
Midterm Review
Midterm
Linear Programming
Linear Programming
Forecasting
Non-Linear Programming
Final Exam: 6-9 pm