History of Operations Research

History of Operations Research

4 mins readComment
Vikram
Vikram Singh
Assistant Manager - Content
Updated on May 27, 2024 07:32 IST

The history of operations research dates back to World War II, when scientists and mathematicians were recruited to solve complex military problems. Since then, operations research has evolved into a multidisciplinary field that applies mathematical and scientific methods to optimize complex systems and decision-making processes. Today, operations research plays a critical role in various industries, from healthcare to transportation to finance.

history of operations research

The Emergence of Operations Research During World War II

Operations research (OR) is a discipline that applies advanced analytical methods to help make better decisions. While its roots go back to the early 20th century, it truly emerged and took shape during World War II.

In the early days of the war, the Allied forces faced many complex challenges, such as optimizing the use of radar systems, improving the efficiency of anti-aircraft guns, and determining the best way to drop bombs from airplanes. 

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Military leaders recognized that solving these issues required a scientific approach utilizing a wide range of quantitative techniques. 

The field of OR was born out of the need to solve these complex problems and make better decisions that could help win the war. 

After the war, the field of OR expanded to other areas, including manufacturing, transportation, healthcare, and finance. OR techniques were used to optimize production processes, improve transportation logistics, and develop better healthcare delivery systems. The field also started to incorporate more advanced mathematical and statistical models that could handle larger and more complex problems.

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The Post-War Growth of OR

The birth of OR as a formal field of study can be traced back to the work of British mathematician and physicist Patrick Blackett, who was awarded the Nobel Prize in Economics in 1974 for his contributions to the field. Blackett was instrumental in developing the use of operational research techniques during World War II, and his work helped to transform the field into a formal discipline.

Throughout the latter 20th century, OR grew in both depth and breadth. Specialized subfields emerged within operations research; each focused on developing advanced methodologies to solve particular types of complex problems. Some key subfields include:

  • Linear and nonlinear programming
  • Queueing theory
  • Decision analysis 
  • Game theory
  • Simulation modeling
  • Inventory and supply chain optimization

At the same time, constant advances in computing power, data gathering, and algorithmic sophistication enabled operational researchers to tackle larger and more complex problems than ever before across the public and private sectors.

Today, operations research continues to expand its real-world impact, influencing areas as diverse as healthcare, urban planning, environmental protection, and more. By employing a scientific approach to operational decision-making, OR remains an essential tool for organizations seeking optimal results with limited resources.

Characteristics of Operation Research

Scope of Operations Research

Importance of Operations Research

Limitations of Operations Research

Applications of Operations Research

Linear Programming Problem (LPP)

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Top Colleges for Operations Research

Shaheed Sukhdev College - University of Delhi

Hindu College - University of Delhi

MA in Operations Research - University of Delhi

Bachelor of Science in Operations Research and Engineering - Cornell University

FAQs on History of Operations Research

What were the origins of operations research?

Operations research has its roots in the military efforts of World War II. Teams of scientists in the UK and US were tasked with using analytical methods to improve operational decision-making and strategy for the Allied forces.

Who were some of the pioneers of operations research?

Early leaders in OR included Patrick Blackett in the UK, who formed an influential team that focused on operations analysis. In the US, scientists like Philip Morse and George Dantzig made major contributions to developing OR techniques.

How did operations research evolve after World War II?

After the war, many OR pioneers transitioned to applying their methods to industrial and business operations. Universities began offering OR programs, and professional societies were established to promote the field's growth.

What were some key developments in operations research in the post-war era?

Major subfields arose like linear programming, queueing theory, simulation, and inventory theory. Advances in computing enabled more complex problem-solving capabilities.

How did the Cold War impact operations research?

The Cold War arms race and space race drove continued military investment in operations research by nations like the US and Soviet Union to optimize weapon/mission planning and logistics.

What problems is operations research well-suited for?

OR excels at complex decision problems involving the allocation of limited resources, logistical planning, scheduling, routing, and other areas where mathematical modeling can yield optimal solutions.

What industries utilize operations research methods?

OR is widely used across manufacturing, transportation, telecommunications, aerospace, energy, healthcare, finance, and many other sectors.

What skill sets are important in operations research?

Key skills include mathematics, computer programming, data analysis, problem-solving, modeling, and optimization techniques.

How has computing power impacted operations research?

More powerful computers and better algorithms have massively expanded the scale and complexity of problems solvable through operations research methods.

What are some modern applications of operations research?

Current uses span scheduling airlines/railways, supply chain optimization, healthcare resource allocation, Internet routing, urban traffic planning, and many other areas.

About the Author
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Vikram Singh
Assistant Manager - Content

Vikram has a Postgraduate degree in Applied Mathematics, with a keen interest in Data Science and Machine Learning. He has experience of 2+ years in content creation in Mathematics, Statistics, Data Science, and Mac... Read Full Bio