Fuzzy age-dependent replacement policy and SPSA algorithm based-on fuzzy simulation

نویسندگان

  • Jiashun Zhang
  • Ruiqing Zhao
  • Wansheng Tang
چکیده

An increase in the performance of deteriorating systems can be achieved through the adoption of suitable maintenance policies. One of the most popular maintenance policies is the age-dependent replacement policy. In this paper, a fuzzy agedependent replacement policy is considered in which the lifetimes of components are treated as fuzzy variables. To minimize the long-term expected cost per unit time, a programming model is formulated. Also, a theorem for optimal solution existence is proposed. In order to solve the proposed model, a fuzzy simulation technique is designed which estimates the expected value of the objective function. The simultaneous perturbation stochastic approximation (SPSA) algorithm is then used to determine a solution. Finally, a numerical example is presented to illustrate the effectiveness of this technique. 2007 Published by Elsevier Inc.

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عنوان ژورنال:
  • Inf. Sci.

دوره 178  شماره 

صفحات  -

تاریخ انتشار 2008