OR541: Deterministic Operations Research Models
Systems Engineering and Operations Research Department
Tuesdays, 4:30-7:10p.m. ST I 131
Office: SciTech Building II, Room 323
Phone: (703)993-1693(direct) or 993-1670 (office)
Homepage for Course: http://classweb.gmu.edu/rganesan
Office hours: Tuesday:
2:00-3:00p.m. and by appointment
Text: W.L. Winston, Operations Research: Applications and Algorithms. Duxbury Press. Fourth Edition, ISBN – 0-534-38058-1
Course Description: This course is designed to introduce deterministic operations research modeling and methodology. It is designed to strengthen the students' knowledge and application of operations research techniques, provide the student with hands-on experience using micro-computer software in the field and to evaluate the applicability of such techniques to industry, government and science. A working knowledge of matrix algebra is essential.
Software: You will be expected to use a modeling language to complete your project. You need to download:
MPL (Maximal Software Corporation), available by downloading from the internet (http://www.maximal-usa.com).
To improve decision-making with operations principles and methods, specifically:
To learn about a broad range of contemporary operations research methods and their applications to the real world.
To learn about the role of uncertainty and use of data in decision-making
To learn to communicate effectively
Formulating basic optimization problems and solving them using a modeling language
Understanding the effects of uncertainty in decision-making.
Homework and Grading:
Homework problems will be assigned after each session. Please visit http://classweb.gmu.edu/rganesan for HW Some or all of the assignments will be collected and graded. There will be one in-class midterm exam and the final will also be in class. Exams are partly closed book and partly open book open notes.
There will also be one project that will require the formulation and solution to an optimization problem.
Grades will be computed as follows:
The midterm will count as 30%,
The project will count for 20%,
Homework will count 15%, and
The final will be worth the remaining 35%.
The course will include all or part of the following chapters from the Winston text, covered in the indicated sequence. The exact scheduling will depend upon the interests of the class, which will determine the amount of time that will be devoted to each topic.
WEEK CHAPTER(S) TOPIC
Week One Chap.1, 2, 3-1 to 3-4 Introduction to operations research
& linear programming.
Week Two Chap. 3 Formulation techniques and
Week Three Chap. 4-1 to 4-7 The Simplex Method
Week Four Chap 4-8 to 4-12 More Simplex Method
Week Five Chap. 6-1 to 6-2 Sensitivity Analysis & Duality
Week Six Chap. 6-3 to 6-10 More Sensitivity Analysis
Week Seven Chap. 7-1 to 7-5 The Transportation Problem
Week Eight Handout on Networks Networks
Week Nine Handout on Networks Networks
Week Ten Chap. 9-1 to 9-2 Begin Integer Programming
Week Eleven Chap. 9-3 to 9-5 Integer Programming Methods
Week Twelve Chap. 9-6 to 9-8 Integer Programming Methods
Week Thirteen Chap. 11-1 to 11-3 Introduction to Nonlinear
Week Fourteen Chap. 11-4 to 11-6 Nonlinear Programming
Week Fifteen Chap. 11-7 to 11-8 Nonlinear Programming
All academic policies as given in the Honor System and code will be strictly followed. Visit URL http://www.gmu.edu/catalog/apolicies/#Anchor12
Exams: Midterm Oct 10th 2006, Final Dec 12th 2006.
Letter grades will be decided as follows:
97% and above –A+, 94-96%- A, 90-93% -A-, 86-89- B+, 83-85%-B, 80-82%-B-, 76-79%- C+, 73-75%- C, 70-72%-C-, 66-69%-D+, 63-65%-D, 60-62%-D-, at or below 59%-F
Exams will only be given at the predetermined dates. Early or late exam taking will not be allowed, except for very special cases.
Please visit http://classweb.gmu.edu/rganesan to check for announcements, Hw problems, and solutions.
Please turn off your cell phones before class and do not use your cell phone during lecture. Feel free to walk out without distracting the class as and when needed.
You will receive some lecture notes as and when it’s needed. I will approach every topic by describing the objective, theory, formula and examples. This should make your effort in understanding the course a lot easier.
BEST WISHES FOR A GREAT SEMESTER!!