EMBA

Course Objectives

This course has been designed to accomplish the management decision making needs of construction of mathematical models. The course attempts to establish a sound understanding of necessary technical concepts for facilitating optimum sound in organization operations.

Course Details

Unit 1: Correlation Analysis

Definition, methods of correlation (graphical, mathematical), properties of correlation, hypothesis testing of correlation coefficient.

Unit II: Regression Analysis

Comparison of correlation and regression analysis, scatter diagram, simple regression analysis best fitting of regression line by using least square method, interpretation of intercept and slope, standard error , coefficient of determination, multiple regression analysis, confidence interval for estimating equation of all parameters by using SPSS / SAS and interpretation.

Unit III: Time Series Analysis and Forecasting

Introduction, components of time series data (trend, seasonal, cyclical and irregular) least square method, moving average method, exponential smoothing, measures of forecast accuracy (forecast error, MAD, MSE), auto correction.

Unit IV: Linear Programming

Basic concepts, system of linear inequality, model formulation, graphical solution, duality, sensitivity analysis.

Unit Transportation and assignment

Model formulation, maximization and minimization, obtaining and initial solution (North West method, Vogel’s approximation method),obtaining an optimum solution(stepping stone , MOD), balanced and unbalanced transportation problem , assignment problem (maximization and minimization),Hungarian method.

Unit VI: Network Analysis

Definition, scope, network, diagram, critical path method, programme evaluation and review technique, earliest and latest time, time estimates of an activity , probability in PERT analysis, crashing a project.

References

1. Levin, R. I., & Rubin, D. S. (2002). Statistics for Management. (7^th ed). Pearson Education: ND)

2. Taha, H. A. (2004). Operations Research: An Introduction. (7^th ed.). Pearson Education. ND

3. Richard, L. I., Rubin, D.S., Stinson, J.P., & Gardner, Jr., E.S. (1992). Quantities Approaches to Management. (8^th ed.). McGraw-Hill: Singapore.

4. Vohra, N.D. (2002). Quantitative Techniques in Management. (2^nd ed.). Tata McGrw-Hill: ND.