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DISC 212 – Introduction to Management Science
Spring 2013
Instructor
Room No.
Office Hours
Email
Telephone

M. Adeel Zaffar
312 – PDC Building
TBA
adeel.zaffar@lums.edu.pk
8026

Course Basics
Credit Hours
Session(s)
Labs (Total)
Tutorials (per week)

3
Nbr of Lec(s) Per Week

2
7
1

Duration 75 min
Duration 75 min
Duration 90 min

COURSE DESCRIPTION
This course is designed to provide students with a sound conceptual understanding of the role that management science plays in the decision making process. It is an important introductory course in developing decision models and understanding their application to management problems. The emphasis is on models and techniques that are widely used in all industries and functional areas, including operations, finance, accounting, and marketing.

COURSE PREREQUISITES
Sophomore standing. A keen interest in problem solving (logic, math, and statistics) and familiarity with Excel are required.
COURSE OBJECTIVES & LEARNING OUTCOMES
• To develop in students an appreciation of the management science approach to problem formulation and solution
• To introduce students to various optimization techniques and particularly develop an understanding of linear programming problems
• To introduce students to basic networking models and their application in business decision making
• To introduce students to Queuing Theory and basic queuing models • To introduce students to the basic concept of decision analysis and various techniques involved in evaluating different decision-making scenarios

GRADING BREAKUP
Attendance: 10%
Quizzes: 15%
Exams 1-3 (closed book, closed notes): 75%
Final Exam* (comprehensive, open book, open notes): 25%
The lowest score from the 4 exams will be dropped.

Lecture #
1

2

3

4
5

6

7

8
9
10
11

12
13
14

15

Topic
Course introduction & syllabus
Introduction to Modeling
• Modeling approach towards decision
making
• Types of models
• Good decisions, good outcomes
Introduction to Optimization and Linear
Programming
• Mathematical Optimization
• Characteristics of optimization problems
• Mathematical programming
• Linear programming (LP)
LAB LECTURE
Solving Linear Programming problems
Modeling and Solving LPs in a Spreadsheet
• Using Solver
• Make vs. Buy Decisions
LAB LECTURE
Modeling and Solving LPs in a Spreadsheet
• An investment problem
Modeling and Solving LPs
• Transportation Problem
• Blending Problem
LAB LECTURE
Modeling and Solving LPs in a Spreadsheet
• Production and Inventory Planning Problem
• Multi-period cash flow problem
Case on Linear Programming
Exam 1
Closed book, closed notes
Sensitivity Analysis
• Purpose of sensitivity analysis
• Analyzing the sensitivity reports
LAB LECTURE
Sensitivity Analysis
• What can change and what will the changes
mean in terms of optimal solution
The Simplex Method
Introduction to Network Modeling
• Transshipment problem
LAB LECTURE
Network Modeling
• Shortest path problem
• Equipment Replacement Problem

Readings/Assignments

Syllabus
Chapter 1

Chapter 2

Chapter 2
Chapter 3

Chapter 3

Chapter 3

Chapter 3

Chapters 1 – 3
Chapter 4

Chapter 4
Chapter 4
Chapter 5

Chapter 5

16

17
18
19
20

21

22
23
24

25

26
27
28

Network Modeling
• Transportation/Assignment problems
• Generalized network flow problems
• Maximal flow problems
Network Modeling
• Special Modeling Considerations
• Minimal Spanning Tree problems
Case on Network Modeling
EXAM 2: Closed book, closed notes
Introduction to Queuing theory
• Purpose of queuing models
• Characteristics of queuing models
• Notation
LAB LECTURE
Introduction to Queuing theory
• Basic models
• M/M/s
Introduction to Queuing theory
• M/G/1 and M/D/1
Case on Queuing Theory
Decision Analysis
• Characteristics of decision problems
• Good decisions vs. good outcomes
• Influence diagrams
Decision Analysis...
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