project,economics,and  cost management

Education and Consulting

Management Science

Objectives : Develop the skill and perspective necessary to artfully use quantitative techniques for the resolution of practical business problems. To know when and how to do managerially relevant analysis under conditions of uncertainty, many decision variables, unstructured contexts, and active competition, in a way that integrates personal judgment, available data, and formal analytical techniques. Emphasis is not on the mastery of sophisticated mathematical techniques, but rather on exploring the most widely applicable methodologies.

 

Content: The course consist of four modules: (i) model building and risk simulation, (ii) multi-criteria decision making, (iii) model building and optimization, and (iv) games and competition.

 

Methodology : The course is case based. Cases describe general managerial situations from multiple industries such as airlines, oil companies, movie industry, banking, sports, software, and services. The case method is complemented with individual exercises and group presentations. The course also emphasizes the mastery of spreadsheet modeling because it enhances the ability to build more realistic models in a simpler way. Laptops in class are welcomed.

Ch

Managerial Decision Modeling

1

Introduction to Managerial Decision Modeling.

2

Linear Programming (L.P) Models

3

L.P. Modeling Applications

4

L.P. Sensitivity Analysis

5

Transportation, Assignment & Network Models

6

Integer, Goal, & Nonlinear Programming Models

7

Project Management

8

Decision Analysis

9

Queuing Models

10

Simulation Modeling

11

Forecasting Models

12

Inventory Control Models

Ch

Introduction to Management Science

1

Management Science

2

Model Formulation  with L.P.

3

Computer Solution & Sensitivity Analysis

4

L.P. Modeling Examples

5

Integer Programming

6

Transportation  Assignment Problems

7

Network Flow Models

8

Project Management

9

Multi-criteria Decision Making

10

Nonlinear Programming

11

Probability and Statistics

12

Decision Analysis

13

Queuing Analysis

14

Simulation

15

Forecasting

16

Inventory Management