- Also called:
- operational research
- Key People:
- Charles Babbage
- George Dantzig
operations research
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What is operations research?
Operations research uses scientific methods to address organizational problems, focusing on improving operations and decision-making. It takes a systems approach, recognizing that changes in one part of a system impact the whole. Interdisciplinary teams apply scientific methods to analyze the conditions under which research is conducted. Operations research uses modeling to represent real-world situations and evaluate the effects of different variables on system performance.
Born in Britain in 1937, operations research was spurred by the need to apply newly developed radar technology in military operations. Its use spread to the U.S. and other countries during World War II. After the war, operations research expanded into industry and government, addressing complex system problems with the help of computers.
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How does operations research help people make better decisions?
Operations research offers decision-makers a quantitative and objective foundation for making choices regarding organized systems. It is not a science by itself, but the application of science to solve administrative and managerial problems.
Using logic, mathematics, and statistics, operations research enhances the decision-making process by helping to acquire and process data effectively, implement decisions, and monitor their outcomes. It focuses on enhancing existing systems and designing systems that solve problems, prevent future issues, and maintain solutions. By applying scientific methods to mental work, operations research provides insights for the effective utilization of both personnel and machines.
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What is a mathematical model in operations research?
In operations research, a mathematical model uses mathematical expressions to represent real-world systems, whether natural, technological, or involving human intervention. These models simplify complex scenarios by including only the most relevant variables to explain a phenomenon.
Operations research models establish cause-and-effect relationships between controlled and uncontrolled variables to predict system performance. These enable researchers to manipulate the system to achieve desired performance changes. Due to the complexity and size of some models, they can be divided into solvable parts, and the output of one model can be used as the input for another.
These models help in problem-solving and can guide the exploration of a problem's structure, revealing potential courses of action.
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What is linear programming and how is it used in operations research?
Linear programming is a mathematical method used to optimize a linear function by maximizing or minimizing it, considering various constraints. It's valuable for guiding quantitative decisions in business planning, industrial engineering, and to some extent, in the social and physical sciences.
In operations research, linear programming is effective for solving resource allocation problems, especially in industrial production systems. It uses algebraic techniques based on equations or inequalities to optimize a mathematical expression known as an objective function. Industries today use mathematical programming to optimize production, though the applications vary.
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Where can operations research be applied in real life?
Operations research applies the scientific method to organizational problems, addressing technical development and enlarging organized systems. It uses a systems approach, acknowledging that each part affects the whole and that interactions between parts determine how well a system performs.
Operations research focuses on planning and seeks interrelated solutions to interdependent problems, especially strategic planning. It designs problem-solving systems that predict and prevent future problems and identifies and maintains solutions under changing conditions. For example, in industry, an operations researcher might address a production problem by suggesting a change to marketing policy.
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How has operations research changed the way companies solve complex problems?
Operations research has revolutionized how companies tackle complex problems by applying scientific methods to organizational challenges. It helps in devising effective solutions for specific operational issues and designing systems that anticipate and prevent future problems. This interdisciplinary approach fosters a comprehensive understanding of interconnected problems, promoting simultaneous, interrelated solutions through strategic planning. By using models and simulations, operations research allows for experimentation and analysis of systems, even when direct experimentation is not feasible. Moreover, it addresses the critical aspect of change management, fostering a willingness within organizations to adopt more efficient practices.
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operations research, application of scientific methods to the management and administration of organized military, governmental, commercial, and industrial processes.
Basic aspects
Operations research attempts to provide those who manage organized systems with an objective and quantitative basis for decision; it is normally carried out by teams of scientists and engineers drawn from a variety of disciplines. Thus, operations research is not a science itself but rather the application of science to the solution of managerial and administrative problems, and it focuses on the performance of organized systems taken as a whole rather than on their parts taken separately. Usually concerned with systems in which human behaviour plays an important part, operations research differs in this respect from systems engineering, which, using a similar approach, tends to concentrate on systems in which human behaviour is not important. Operations research was originally concerned with improving the operations of existing systems rather than developing new ones; the converse was true of systems engineering. This difference, however, has been disappearing as both fields have matured.
The subject matter of operations research consists of decisions that control the operations of systems. Hence, it is concerned with how managerial decisions are and should be made, how to acquire and process data and information required to make decisions effectively, how to monitor decisions once they are implemented, and how to organize the decision-making and decision-implementation process. Extensive use is made of older disciplines such as logic, mathematics, and statistics, as well as more recent scientific developments such as communications theory, decision theory, cybernetics, organization theory, the behavioral sciences, and general systems theory.
In the 19th century the Industrial Revolution involved mechanization or replacement of human by machine as a source of physical work. Study and improvement of such work formed the basis of the field of industrial engineering. Many contemporary issues are concerned with automation or mechanization of mental work. The primary technologies involved are mechanization of symbol generation (observation by machines such as radar and sonar), mechanization of symbol transmission (communication by telephone, radio, and television), and mechanization of logical manipulation of symbols (data processing and decision making by computer). Operations research applies the scientific method to the study of mental work and provides the knowledge and understanding required to make effective use of personnel and machines to carry it out.

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