 High School Operations Research
Modules consisting of one or two student activity worksheets (46 pages) in which students discover mathematical concepts while solving a scaleddown problem set in a context they can relate to. In addition each module contains twenty to thirty pages of teacher resource material. Typical modules investigate average time waiting in line, managing a telephone ordering system, selecting a college, finding the shortest route for a delivery truck, etc. With Case Studies of major companies, from American Airlines to World Cup Soccer.
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 INFORMS OR/MS Resource Collection
 Michael Trick, Carnegie Bosch Inst., Grad. School of Indust. Administration, Carnegie Mellon Univ.
An organized listing of sites concerned with the field of operations research, the technique of using modern scientific models to predict and compare the outcomes of complex systems, considering factors such as change and risk, with links to: FAQs; Societies; Newsgroups/Email lists; Resources; People; Research Groups; Educational Programs; Companies; Online Computer Programs; Courses; Journals; Discussion. See also general course information, supplemented with class notes (including pages on Integer Programming, Mini Case for Discussion, Network Flow, and Dynamic Programming, the last with Excel worksheets) and homework with solutions.
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 Operations Research, Mathematical Programming  Dave Rusin; The Mathematical Atlas
A short article designed to provide an introduction to operations research, which may be figuratively described as the study of optimal resource allocation.
Depending on the options and constraints in the setting, this may involve linear programming, or quadratic, convex, integer, or booleanprogramming. This category also includes game theory, which is actually not about games at all but rather about optimization; which combination of strategies leads to an optimal outcome. This area also includes mathematical economics. History; applications and related fields and subfields; textbooks, reference works, and tutorials; software and tables; other web sites with this focus.
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 ORNotes  J. E. Beasley
Introductory originally used in an introductory OR course at Imperial College. Topics: Introductory (basic concepts); Deterministic (data envelopment analysis, facility layout and location, graph theory, integer programming, inventory control, justintime, linear programming, master production schedule, materials requirements planning, network analysis and flow nonlinear programming, soft OR, vehicle routing); Stochastic (decision trees, forecasting, Markov processes, quality control, queuing theory, simulation, stochastic programming). With Tutorials, links to OR on the Web, and notes on the UG examination.
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