This introduction sets the stage for our in-depth study of Operations Research. This subject combines elements of mathematics, business, and computer science. As we progress through this series, we will explore the history, applications, and future prospects of Operations Research in detail.
Operations Research (OR), also known as decision science or management science, is an interdisciplinary field that applies scientific methodologies to improve decision-making. Techniques from various mathematical sciences such as mathematical modeling, statistical analysis, and mathematical optimization are used in OR to improve decision-making processes and enhance efficiency.
In today's fast-paced, data-dependent world, making the best decisions is crucial for any organization. Operations Research offers a framework to address complex challenges such as optimizing supply chains, managing risks, allocating resources, or designing networks. It is applied across a wide range of sectors, including transportation, manufacturing, healthcare, finance, and more.
This series will break down the complex topic of operations research into more manageable parts. The upcoming sections will include:
This series aims to provide a thorough understanding of operations research to those interested in the topic, whether you're a student looking to expand your knowledge or a professional seeking to apply OR in your field. We encourage you to join us in this exploration of operations research.
Up next is "The Evolution of Operations Research".