5. Limitations
Although very powerful and flexible, the Markov approach nevertheless suffers from a number of limitations that hamper its implementation. We will now briefly review the two main difficulties encountered when implementing this approach.
5.1 Constant transition rates
For a process to be Markovian, all random events must be governed by exponential laws.
While this is quite appropriate for failures, it is more questionable for phenomena with near-constant durations, such as system reconfigurations after a failure, the transport of maintenance teams to the site of their intervention, the supply of spare parts, or the alternation of day and night, which may need to be taken into account in the models.
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