Syllabus
IE 4560 Operations Research
(IE Core: Required)
CREDITS 3cr.
COURSE DESCRIPTION
Operations Researchis a collection of scientific methods to tackle complex problems which arise in both
manufacturing and services industries. In this undergraduate course, we will learn about modeling,
solution and analysis of such optimization problems that are found in various industries and application
areas.
PREREQUISITES
Admission to the IE Professional Program, MAT 2150 and IE 3220
TEXTBOOK AND OTHER REQUIRED MATERIAL
Hillier, F. S. and Lieberman, G. J. Introduction to Operations Research, 8th ed., New York: McGraw-Hill,
2005
COURSE OBJECTIVES
At the end of this course, students will be able to:
Terminal Objective: Develop educated consumers of deterministic operations research techniques
by exploring a broad range of applications.
ie4560.01
Develop skills in recognizing & formulating deterministic optimization models
including: constraints, objective functions and decision variables.
ie4560.02
Develop an appreciation for the role of sensitivity analysis in analyzing a system
ie4560.03
Develop an appreciation for a mathematically based algorithm and the ability to use
off-the-shelf software for setting up models solving operations research problems.
ie4560.04
Quantify the cost of constraints
ie4560.05
Develop an understanding of the theory behind the models and the importance of
simplifying assumptions. (Linear, integer, network & non-linear)
ie4560.06
Build a broader understanding of the types of mathematical models and their
appropriate context.
ie4560.07
Work as a member of an Operations Research team to identify, analyze, formulate
and solve a business case problem and effectively justify your model and solution in a
written and oral report.
TOPICS COVERED
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CLASS SCHEDULE
Winter 2006: M W 1:00pm to 2:30 pm
CONTRIBUTION TO PROFESSIONAL PROGRAM COMPONENTS
Engineering Topics
RELATIONSHIP TO PROGRAM OUTCOMES
G1, G2, G-3, G-7, IE-2, IE-4, IE-4, IE-6, IE-7
Updated by Alper Murat 10/4/2006
An introduction to the philosophy of operations research.
Formulation of linear programming models and their
solution.
Duality
and
sensitivity
analysis.
The
transportation model. Introduction to probabilistic
modeling and applications of queueing models.