Being one of the most prominent subjects in the mechanical, manufacturing, and industrial engineering curriculum, Operations Research (OR) holds substantial academic and professional weight. Whether you aim to strengthen academic proficiency, excel in competitive exams, or crack challenging interviews, a solid grasp of OR concepts is crucial.

On the professional front, Operations Research offers a far more powerful and structured decision-making approach than traditional software tools or basic analytics. It empowers professionals to work with complete datasets, evaluate all possible alternatives, predict outcomes, and assess associated risks. What makes OR even more impactful is its adaptability techniques can be tailored to fit specific business processes or industrial problems, leading to highly optimized solutions.

The ultimate goal of Operations Research is simple yet profound: “Optimization.”

In this course, you’ll explore various tools and techniques of Operations Research aimed at solving real-world problems efficiently and enhancing productivity. The course is organized into the following major sections:

Linear Programming Problems (LPP): Learn how to formulate and solve optimization problems using graphical method, slope method, and simplex method. Understand constraints, feasibility, and special cases like unbounded and degenerate solutions.
Transportation & Assignment Problems: Discover how to optimize transport logistics using methods like the North-West Corner Rule and Vogel’s Approximation. For assignment issues, master the Hungarian Method for optimal task allocation.

Operations Research Techniques LPP, Transportation, CPM/PERT

Master OR tools like LPP, transportation models, and CPM/PERT to solve real-world optimization and scheduling problems.