Characteristics of Operations Research: Features, Examples and Importance

What are the Characteristics of Operations Research?

Significant features / Nature / Characteristics of Operation Research: - Operations Research (OR) helps managers and organizations utilize their resources efficiently and make optimal decisions. Understanding the characteristics of Operations Research is essential because these features distinguish OR from traditional decision-making methods. 

The characteristics of Operations Research refer to the unique features and approaches that make OR an effective tool for solving managerial and optimization problems. Some significant features or natures or characteristics of Operations Research (OR) are given below:

1. Decision Making Focus:

A major premise of OR is that decision-making, irrespective of the situation involved, can be considered as a general systematic process. Operations Research provides scientific support to managers in making effective decisions. OR improves the quality of decisions.

It helps in:

• Choosing the best alternative
• Evaluating different options
• Reducing risks
• Improving efficiency

Hence, OR is often referred to as a decision-making tool.

2. Scientific Approach:

OR follows a systematic and scientific procedure for problem-solving. OR applies scientific methods for the purpose of analysing and solution of complex problems. It is a formalized process of reasoning. In this approach, there is no place for guesswork and the personal bias of the decision-maker.

It includes:

• Defining the problem
• Collecting data
• Formulating a mathematical model
• Finding an optimal solution
• Testing and implementing the solution

This scientific methodology ensures rational and objective decision-making.

3. Objective-oriented Approach:

OR attempts to locate the best or optimal solution to the problem under consideration. OR tries to find the best (optimum) decisions relative to the largest possible portion of the total organization.

4. Inter-disciplinary Team Approach:

OR is inter-disciplinary in nature and requires a team approach to a solution to the problem. Managerial problems have economic, physical, biological and engineering aspects. This requires a blend of people with expertise in the areas of mathematics, statistics, engineering, economics, management, computer science and so on.

Operations Research involves experts from different disciplines such as mathematics, statistics, economics, engineering, and management. The combined knowledge of these specialists helps in finding effective solutions to complex problems.

Example

In airline scheduling, engineers, economists, statisticians, and managers work together to optimize flight operations.  

5. Use of Mathematical Models

One of the most important characteristics of Operations Research is the use of mathematical models to represent real-life situations.

These models help in:

• Analyzing alternatives
• Predicting outcomes
• Selecting the best course of action

Example

Linear Programming models are used to maximize profits or minimize costs under limited resources.

6. Imperfectness of solutions:

By OR techniques, we cannot obtain perfect answers to our problems but, only the quality of the solution is improved from worse to bad answers.

7. Computer-Oriented Approach/ Use of Digital Computer:

Many Operations Research problems involve large amounts of data and complex calculations. The models of OR need a lot of computation and therefore, the use of computers becomes necessary. With the use of computers, it is possible to handle complex problems requiring a large number of calculations.

Therefore, computers play an essential role in solving these problems efficiently. Modern software and algorithms enable quick and accurate solutions.

Example

Airline scheduling and supply chain optimization are computer-intensive applications of OR.

8. Quantitative solution/Quantitative Analysis:

Operations Research mainly relies on quantitative data and numerical techniques for analysis and decision-making. By providing a quantitative basis for decision-making, operation research supports management. The goal of operation research is to provide a systematic and scientific rational approach to quantitative solutions to various managerial problems.

Methods used include:

• Linear Programming
• Probability Theory
• Queuing Theory
• Inventory Models
• Game Theory

Quantitative analysis improves accuracy and reduces uncertainty.

9. Human judgment:

Human factors, which play an important role in determining quantitative solutions, are sometimes overlooked in problems. As a result, a study of operation research would be incomplete without a study of human factors.

10. Optimize the total output (Optimizing Nature / Optimization Orientation):

Operations Research aims to obtain the best possible solution among several alternatives. OR tries to optimize the total output by maximizing the profit and minimizing the cost.

Optimization may involve:

• Maximization of profit
• Minimization of cost
• Reduction of time
• Efficient utilization of resources

Thus, OR focuses on achieving optimal results rather than merely satisfactory solutions.

11. Continuing Process/Continuous Improvement and Flexibility:

Operation research continues with the arrival of new problems, the finding and implementation of their solutions, and the interpretation of the outcomes of such implementation. In today's dynamic environment, problems continue to emerge. As a result, OR becomes a continuous process. 

Operations Research models can be modified whenever conditions change.

Changes in:

• Market demand
• Production capacity
• Costs
• Resource availability

can easily be incorporated into the model, making OR flexible and adaptable.

12. Systems Approach

Operations Research considers an organization as an integrated system consisting of various interrelated components. Instead of optimizing one department independently, OR seeks the best solution for the organization as a whole.

Example

While minimizing transportation costs, a company must also consider production, inventory, and customer requirements to achieve overall optimization.

13. Handling Complex Problems

Operations Research is especially useful for solving complicated problems involving numerous variables and constraints.

Examples include:

• Transportation planning
• Production scheduling
• Inventory control
• Project management

These problems cannot be solved efficiently through intuition alone.

Features of Operations Research

The important features of Operations Research can be summarized as follows:

• Scientific approach to problem-solving.
• Systems orientation.
• Interdisciplinary team approach.
• Use of mathematical models.
• Optimization of objectives.
• Quantitative analysis.
• Computer-based computations.
• Effective decision-making.
• Handling of complex situations.
• Flexibility and adaptability.

Examples of Operations Research

Transportation Problem

OR techniques are used to minimize transportation costs while distributing goods from factories to warehouses.

Inventory Management

Companies use Economic Order Quantity (EOQ) models to determine optimal inventory levels.

Project Management

PERT and CPM techniques help managers complete projects efficiently.

Airline Scheduling

OR assists airlines in optimizing routes, crew assignments, and fuel consumption.

Importance of Characteristics of Operations Research

The characteristics of Operations Research make it a powerful tool for modern management because it:

• Improves decision-making.
• Enhances productivity.
• Reduces operational costs.
• Ensures efficient utilization of resources.
• Increases profitability.
• Helps solve complex managerial problems.

Operations Research is characterized by its scientific approach, systems orientation, interdisciplinary team effort, mathematical modeling, quantitative analysis, optimization, and computer-based techniques. These characteristics enable organizations to solve complex problems and make rational decisions efficiently. As a result, Operations Research has become an indispensable tool in business, industry, government, transportation, healthcare, and project management.

(Source – Various books from college library)