Modelling spare parts dynamics by multi-state Monte Carlo simulation

نویسندگان

  • Marzio Marseguerra
  • Enrico Zio
  • Luca Podofillini
چکیده

In this paper, we resort to Monte Carlo simulation for achieving a realistic modelling of the dynamics of a system supported by spare parts. The spare dynamics, namely the start-up of a spare unit upon failure of an on line unit, is caught by means of the multi-state correlation method previously introduced by some of the present authors to describe stand-by and load-share dependencies. The Monte Carlo simulation model is embedded within a genetic algorithm multiobjective search for the maximization of the system revenues and the minimization of the total spares volume.

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تاریخ انتشار 2002