13 Maintenance and Replacement Models under a Fuzzy Framework

نویسندگان

  • Augustine O. Esogbue
  • Warren E. Hearnes
چکیده

Uncertainty is present in virtually all replacement decisions due to unknown future events, such as revenue streams, maintenance costs, and in°ation. Fuzzy sets provide a mathematical framework for explicitly incorporating imprecision into the decision-making model, especially when the system involves human subjectivity. This chapter illustrates the use of fuzzy sets and possibility theory to explicitly model uncertainty in replacement decisions via fuzzy variables and fuzzy numbers. In particular, a fuzzy set approach to economic life of an asset calculation as well as a ̄nite horizon single asset replacement problem with multiple challengers is discussed. Because the use of triangular fuzzy numbers provides a compromise between computational e±ciency and realistic modeling of the uncertainty, this discussion emphasizes fuzzy numbers. The algorithms

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تاریخ انتشار 2001