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Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering
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Hierarchical Decision Making in Stochastic Manufacturing Systems (Hardcover, 1994 ed.)
Loot Price: R1,812
Discovery Miles 18 120
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Hierarchical Decision Making in Stochastic Manufacturing Systems (Hardcover, 1994 ed.)
Series: Systems & Control: Foundations & Applications
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One of the most important methods in dealing with the optimization
of large, complex systems is that of hierarchical decomposition.
The idea is to reduce the overall complex problem into manageable
approximate problems or subproblems, to solve these problems, and
to construct a solution of the original problem from the solutions
of these simpler prob lems. Development of such approaches for
large complex systems has been identified as a particularly
fruitful area by the Committee on the Next Decade in Operations
Research (1988) [42] as well as by the Panel on Future Directions
in Control Theory (1988) [65]. Most manufacturing firms are complex
systems characterized by sev eral decision subsystems, such as
finance, personnel, marketing, and op erations. They may have
several plants and warehouses and a wide variety of machines and
equipment devoted to producing a large number of different
products. Moreover, they are subject to deterministic as well as
stochastic discrete events, such as purchasing new equipment,
hiring and layoff of personnel, and machine setups, failures, and
repairs.
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