Centro de Innovación de la Cadena de Valor

URI permanente para esta colecciónhttp://54.81.141.168/handle/123456789/166748

Este centro promueve el estudio de los problemas más relevantes para las etapas de la cadena de valor y se evalúan las nuevas tecnologías que están reconfigurando la industria. Estudia la cadena de valor en: la operación logística, la innovación, la promesa de la inteligencia artificial y temas afines.

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Autorsearch.filters.applied.operator.equals: search.filters.author.Vincent, CharlesTemasearch.filters.applied.operator.equals: search.filters.subject.Chance-constrained programming

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    Joint chance-constrained reliability optimization with general form of distributions
    (CENTRUM Publishing, 2014) Vincent, Charles; Islam Ansari, Saifu; Khodabakhshi, Mohammad
    Probabilistic or stochastic programming is a framework for modeling optimization problems that involve uncertainty. Stochastic programming models arise as reformulations or extensions of reliability optimization problems with random parameters. Moreover, the resource elements vary and it is reasonable to consider them as stochastic variables. In this paper, we describe the chance-constrained reliability stochastic optimization (CCRSO) problem for which the objective is to maximize the system reliability for the given joint chance constraints where only the resource variables are random in nature and which follow different general form of distributions. Few numerical examples are also presented to illustrate the applicability of the methodology.