This module introduces the fundamental concepts of Operational Research and explains how quantitative methods are used to solve managerial decision problems. Learners explore the structure of assignment problems and understand techniques for solving balanced and unbalanced minimization cases through practical examples.

This module expands assignment problem concepts by introducing maximization scenarios and converting them into solvable minimization models. It also introduces the transportation problem and explains foundational distribution models used to optimize the movement of goods from sources to destinations.

This module focuses on advanced transportation optimization techniques used to improve distribution efficiency. Learners explore Vogel’s Approximation Method and the MODI method to evaluate and refine transportation solutions, followed by an introduction to project network analysis concepts.

This module introduces project management optimization techniques using network models. Learners examine Critical Path Method (CPM) and Program Evaluation and Review Technique (PERT) to schedule projects, estimate activity durations, and analyze project completion timelines under uncertainty.

This module introduces decision-making frameworks used in Operational Research. Learners explore decision theory, payoff tables, and decision trees to evaluate alternatives and determine optimal strategies under conditions of risk and uncertainty.

This module explores service system optimization using queuing theory models. Learners study single-server and multi-server queue systems to analyze customer arrival patterns, service rates, waiting times, and system utilization for improved service efficiency.