Simplex algorithm for linear programming covering artificial variables, optimality testing, tableau method, and practical business applications.
Introduction to operations research and linear programming covering problem formulation, graphical solution, augmented form, and general LP concepts.
Introduction to Quantitative Techniques and Statistical Analysis
Comprehensive introduction to quantitative techniques covering historical development from Fredrick Taylor’s scientific management principles. Explores statistical analysis fundamentals including data types, sampling methods, frequency distributions, and data presentation techniques. Covers primary/secondary data collection, various sampling approaches, classification methods, and graphical presentation tools including histograms, charts, and diagrams.
Introduction to Operations Research and Linear Programming Problem (LPP)
Introduces operations research, its systematic application to managerial problems, and foundational aspects of linear programming. Covers LPP definitions, components, basic assumptions, and methods of problem formulation. Demonstrates with real-life examples on maximizing profits, minimizing costs, and optimal resource allocation, equipping readers with essential tools for quantitative decision-making.