Learn & Review: What is Operation Research? Prepare Semester Exams with Asksia AI

Jan 23, 2026

What is Operation Research Full Basics Explained for 2025

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Summary of Operation Research Introduction

This video provides an introduction to the subject of Operation Research (OR), covering its history, meaning, definitions, features, characteristics, models, phases, decision-making processes, and limitations.

1. History of Operation Research

  • Operation Research originated during World War II.
  • The British Army faced a critical need for efficient resource management due to limited resources.
  • OR approaches were developed to address these challenges.
  • By the 1970s and 1980s, OR expanded beyond defense to sectors like agriculture, business, and other areas.

2. Meaning and Definition of Operation Research

  • OR is essentially about finding the best possible solution for a system.
  • It involves the design and operation of a system to achieve an optimum solution using scientific tools and techniques.
  • It is a research into operations that aims to improve efficiency.
  • OR considers resources as constraints.

3. Features and Characteristics of Operation Research

  • Use of Interdisciplinary Teams: OR problems are tackled by teams with expertise from various fields.
  • Complete System Orientation: OR considers the entire system rather than isolated parts.
  • Scientific Methods: It employs scientific approaches and techniques for analysis.
  • Quality in Decisions: The goal is to achieve high-quality, optimal decisions.
  • Focus on Individual Quality and Decisions: While considering the system, it also aims to improve individual decision-making quality.

4. Scope of Operation Research

  • OR can be applied in various fields, including:
    • Planning
    • Agriculture
    • Corporates

5. Limitations of Operation Research

  • Lack of Qualitative Factor Consideration: OR primarily deals with quantifiable aspects and may struggle with purely qualitative factors.
  • Limited Factor Consideration: It often focuses on a limited set of variables or resources.
  • Specific Category of Problems: OR models are best suited for specific types of problems where variables and resources can be quantified.

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