Operations Research
Date: 2018-10-24 Views: 15

Operations Research

Course No.: SMJ2221145     Credit(s):2

  

Course Description

Operations Research is a science of modeling and optimization. It has many applications in science, engineering, economics, and industry and thus the ability to solve OR problems is crucial for both researchers and practitioners. It allows you to model real-world problems by using mathematics, statistics, and computers. It provides you tools and theories to solve these real-world problems by finding the optimal solutions to the models subject to constraints of time, labor, resource, material, and business rules. With Operations Research, people make intelligent decisions to develop and manage their processes and businesses.

Course Learning Outcomes

The course emphasizes the application of Operations Research for solving business problems. Throughout this course, students are expected to know and understand common and important business problems. Students will develop problem modeling and solving skills and learn how to make intelligent business decisions from the point of view of optimization.

Relationship to Other Courses

Pre-requisites:  Calculus I, Calculus II, Linear Algebra, Statistics, Probability, Computer Programming,

Textbook and Reading Lists

Textbook:

The textbook compiling group on Operations Research, Operations Research (4th edition). Tsinghua University Press, 2013.

Suggested reading lists:

Hiller, F.S. and Lieberman, G.J. Introduction to Operations Research (9th edition). McGraw-Hill, 2009.

Recommended Software

The computer software employed in some class examples is EXCEL and LINDO.

Course Assessment

Item

Title

Weighting (%)

1

Task   in home

10%

2

Test   and Questions in class

20%

3

Final   Assignment

70%

Course Schedule

Week

Topics

Text

1

Introduction

Chapters 1

2-4

Linear   Programming and Simplex Algorithm

Chapters 2

5-7

Sensitivity   Analysis and Duality

Chapters 3

8-9

Transportation   Models

Chapters 4

10-11

Integer   Programming

Chapters 6

12-14

Dynamic   Programming

Chapter 7

15-17

Graph   and network optimization

Chapter 8

18

Review