At the end of this course, the students; 1) Have the infrastructure to distinguish and formulate the most suitable model for a certain decision situation. 2) Recognize solution methods and special software that can be used to solve models. 3) Gain the ability to analyze and interpret the results obtained in order to be able to suggest appropriate action styles in the face of various problems. 4) Acquire analytical approach to different decision situations and interpretation of results obtained using various quantitative techniques 5) Learn the applications of Management Science through case studies for real business problems, including a global perspective. 6) Develop analytical skills for structuring and analyzing business decision problems that represent the field of Management Science.
MODE OF DELIVERY
Face to face
PRE-REQUISITES OF THE COURSE
No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT
No
COURSE DEFINITION
In this course, the emergence of Science in Management, the scope, and importance of the field of management quantitative decision techniques and applications will be covered. Linear Programming Models will be introduced and solution techniques, sensitivity analysis will be discussed. In addition, the special types of linear programming: Assignment, Transportation and Integer Programming models, Decision Theory, Network Models, Project Planning Techniques (PERT / CPM) and the waiting line models and simulation will be examined.
COURSE CONTENTS
WEEK
TOPICS
1st Week
Linear Programming: Model Formulation
2nd Week
Linear Programming: Graphical Solution
3rd Week
Linear Programming:Sensitivity Analysis of Objective Function Values
4th Week
Linear Programming Computer Applications
5th Week
Transportation Problem
6th Week
Assignment Problem
7th Week
Integer Linear Programming
8th Week
Midterm Exam
9th Week
Decision Analysis
10th Week
Network Modeling
11th Week
Project Management
12th Week
Queueing Modeling
13th Week
Simulation
14th Week
Computer Applications of Queueing Theory and Simulation
RECOMENDED OR REQUIRED READING
Balakrishnan, N., B. Render, and R. M. Stair Jr. 2007. Managerial Decision Modeling with Spreadsheets. Upper Saddle River, New Jersey: Prentice-Hall, Incorporated. ISBN: 013226806X.
Additional Resources: Taylor, Bernard W. 2001. Introduction to Management Science 7th Ed., Prentice Hall. Hillier, F.S., Lieberman, G.J. 1995. Introduction to Operations Research 6th Ed., McGraw-Hill. Acar, A. 1998. Linear Programming For Managerial Decisions 3rd Ed., METU. Anderson, D. R., D. J. Sweeney ve T. W. Williams. 2000. In Introduction to Management Science: Quantitative Approaches to Decision Making. South Western Collage Publishing. Taha, Hamdy, A. 1997. Operations Research, An Introduction 6th Ed. Prentice-Hall. Winston, W. L. 1994. Operations Research: Applications and Algorithms 3rd Ed. Duxbury Press. Lawrence, Jr. J.A and B.A Posternock, 1998. Applied Management Science A Computer Integrated Approach for Decision Making, John Wiley and Sons, New York.
