Quantitative Techniques In Management Nd Vohra.pdf

This book is a standard reference for MBA and engineering students. Here are the proper features of the text:

6. Waiting Line Theory and Game Theory

The final major sections deal with congestion and competition. Quantitative Techniques In Management Nd Vohra.pdf

10. Forecasting and Time Series Analysis

• Methods: Moving averages, exponential smoothing, least squares regression.
• Error Metrics: MAD, MSE, MAPE.

Study Guide — Quantitative Techniques in Management (N.D. Vohra)

Key Topics (with short definitions)

• Operations Research (OR): Application of mathematical models and optimization to decision-making.
• Linear Programming (LP): Technique to maximize/minimize a linear objective subject to linear constraints.
• Simplex Method: Iterative algorithm to solve LP problems when there are ≥2 variables.
• Duality & Sensitivity Analysis: Relationship between primal and dual LP; study how changes in coefficients affect optimal solution.
• Transportation & Assignment Problems: Specialized LPs for shipping allocation (min cost) and one-to-one assignment (Hungarian method).
• Integer Programming (IP): Optimization where some/all variables must be integer; uses branch-and-bound, cutting planes.
• Network Models: Shortest path (Dijkstra), minimum spanning tree (Kruskal/Prim), max-flow/min-cut (Ford–Fulkerson).
• Queuing Theory: Models of waiting lines (M/M/1, M/M/c); performance measures: utilization, average wait, queue length.
• Inventory Models: EOQ, reorder point, safety stock, deterministic vs. probabilistic demand models.
• Decision Theory & Game Theory: Decision-making under uncertainty (expected value, EMV, EVPI), strategic interaction models.
• Forecasting Methods: Time series (moving average, exponential smoothing, ARIMA basics) and causal methods (regression).
• Statistical Techniques: Hypothesis testing, confidence intervals, ANOVA, correlation and regression.
• Simulation: Modeling complex systems (Monte Carlo) when analytical solutions are infeasible.
• Project Management Techniques: PERT/CPM — critical path, earliest/latest times, project crash costing.