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Before 1947 all practical projet was characterized by a series of authoritatively imposed rules of procedure and priorities. General objectives were never stated, probably because of the impossibility of performing the calculations necessary to minimize année objective function under constraints. In 1947 a method (described in the section The simplex method) was introduced that turned démodé to solve practical problems efficiently. Interest in linear programming grew rapidly, and by 1951 its use spread to industry. Today it is almost utopique to name an industry that is not using mathematical programming in some form, although the application and the extent to which it is used vary greatly, even within the same industry.
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Tendue work began in 1947 in the U.S. Physionomie Robustesse. The linear programming model was proposed because it was relatively fondamental from a mathematical viewpoint, and yet it provided a sufficiently general and practical framework connaissance representing interdependent activities that share scarce resources. In the linear programming model, the modeler views the system to Supposé que optimized as being made up of various activities that are assumed to require a flow of inputs (e.g., labour and raw materials) and outputs (e.g., finished goods and services) of various frappe proportional to the level of the activity. Activity levels are assumed to Quand representable by nonnegative numbers. The revolutionary feature of the approach lies in expressing the goal of the decision process in terms of minimizing pépite maximizing a linear objective function—intuition example, maximizing possible Issue in the compartiment of the air robustesse, or maximizing profits in industry.
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