ABSTRACT
Optimization methods may be applied to the services operations management. A comprehensive objective function (a cost-function to be minimized) leads to a multi disciplinary optimization, considering all aspects of a services business unit. However, this introduces a very large number of variables (examples with tens of thousands of variables are presented), making classical optimization methods inadequate. The paper introduces the use of genetic algorithms for the Multidisciplinary optimizations in Globalized Services Management
Keywords:
multidi sciplinary optimization; services operating management; genetic algorithms, total costs and risks.
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