ENIE 351 Operations Research I (3)

 

Required course for majors in the industrial specialty.

 

Catalog Description:

Introduction to operations research, the methodology of mathematical modeling, the decision analysis, and its relation to problems in industrial, commercial, and public systems.  The emphasis is on the use of linear mathematical programming including the simplex method, sensitivity analysis, transportation problems, integer programming, and network flow models.    Lecture 3 hours.  Fall semester. 

 

Prerequisites:

ENGR 222 with grade of C or better, Mathematics 212, 245.

 

Text book/references:

Taylor, Bernard W. III, Introduction to Management Science, Seventh Edition, Prentice Hall, 2002. 

 

Course Objectives: (numbers in brackets indicates the relationship to engineering program outcomes)

  1. Develop an understanding of how uncertainty is to be handled in decision-making. (2)
  2. Analyze basic techniques of linear programming. (2, 3)
  3. Formulate mathematical programming problems. (1, 2)
  4. Analyze the structure of linear programming (LP) models and learn how to develop them. (1, 2)
  5. Experience different solution techniques for LP models. (2, 3)
  6. Implement computer applications by using decision sciences software programs, such as DSWin (Decision Sciences for Windows), LINDO, Excel Solver and Excel Tree Plan. (3)
  7. Apply and expand operations research knowledge through a project application and presentation. (5, 7)

 

Class/laboratory schedule:

Lecture either three times per week at 50 minutes per class, or two times per week at 75 minutes per class.

 

Topics Covered:

Week                              Topic

1.                                            Introduction

2.                             Management Science

3.                          Decision Analysis

4.                          Decision Trees

5.                                            Linear Programming Models

6.                                            Linear Programming: Graphical Solutions

7.                                            Linear Programming: The Simplex Method

8.                                            Linear Programming: The Simplex Method

9.                                            Computer Solution Techniques

10.                                         Linear Programming: Sensitivity Analysis

11.                                         Integer Programming

12.                                         Integer Programming

13.                        Transportation Problems

14.                        Network Flow Problems

 

Contribution to Professional Component:

Contributes toward the 1.5 years of engineering topics as a 3 credit hour course in engineering sciences.

 

Relationship of course to program outcomes:

This course supports engineering outcomes 1, 2, 3, 5, and 7.

 

Prepared by:  Dr. Neslihan Alp, 05/12/03