set1_LP - Chapter 1 Introduction to Model Building What is...

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Chapter 1 Introduction to Model Building
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What is Operations Research? What is Management Science? World War II : British military leaders asked scientists and engineers to analyze several military problems Deployment of radar Management of convoy, bombing, antisubmarine, and mining operations. The result was called Military Operations Research , later Operations Research MIT was one of the birthplaces of OR Professor Morse at MIT was a pioneer in the US Founded MIT OR Center and helped found ORSA
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What is Management Science (Operations Research)? Today : Operations Research and Management Science mean “the use of mathematical models in providing guidelines to managers for making effective decisions within the state of the current information, or in seeking further information if current knowledge is insufficient to reach a proper decision.” Decision science, systems analysis, operational research, systems dynamics, operational analysis, engineering systems, systems engineering, and more.
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Voices from the past Waste neither time nor money, but make the Waste neither time nor money, but make the best use of both. best use of both. Benjamin Franklin Benjamin Franklin Obviously, the highest type of efficiency is that which can utilize existing material to the best advantage. Jawaharlal Nehru It is more probable that the average man could, with no injury to his health, increase his efficiency fifty percent. Walter Scott
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Operations Research Over the Years 1947 Project Scoop (Scientific Computation of Optimum Programs) with George Dantzig and others. Developed the simplex method for linear programs. 1950's Lots of excitement, mathematical developments, queuing theory, mathematical programming. A.I. in the 1960's 1960's More excitement, more development and grand plans. A.I. in the 1980's.
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Operations Research Over the Years 1970's Disappointment, and a settling down. NP- completeness. More realistic expectations. 1980's Widespread availability of personal computers. Increasingly easy access to data. Widespread willingness of managers to use models. 1990's Improved use of O.R. systems. Further inroads of O.R. technology, e.g., optimization and simulation add-ins to spreadsheets, modeling languages, large scale optimization. More intermixing of A.I. and O.R.
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Operations Research in the 00’s LOTS of opportunities for OR as a field Data, data, data E-business data (click stream, purchases, other transactional data, E-mail and more) Need for more automated decision making Need for increased coordination for efficient use of resources (Supply chain management)
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Optimization is everywhere Models, Models, Models The goal of models is “insight” not numbers paraphrase of Richard Hamming Algorithms, Algorithms, Algorithms
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Optimization is Everywhere It is embedded in language, and part of the way we think.
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set1_LP - Chapter 1 Introduction to Model Building What is...

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