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Switching to standby components is perfect.
Jain (2016) studied a repairable redundant system with warm standby components and repair facility.
Sivazlian and Wang (1989), Wang (1995), Wang and Kuo (2000) and Wang and Chang (2002) did the cost and probabilistic analysis of machining system with standby components.
Wang et al. (2011) performed cost benefit analysis of a machining system with warm standby components and variable server by incorporating the concept of balking.
To validate this conclusion, assume that the reliability of a component is 0.7408 and that of the switching for standby components is 0.99.
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In case of failure of an operating component, the standby component replaces the failed component and prevents system breakdown.
The active module usually provides the service for all environments; if the active module fails, the standby component assumes control.
Lin et al. (2012) analyzed the reliability and MTBF of a redundant repairable system with one primary component, one standby component, and one unreliable service station.
As shown in Figure 1, in the standby state, the component mode of the fan motor and servo systems is ON, while the spindle motor and feed motors are OFF.
In most cases, components in standby system are assumed to be statistically identical and independent.
However, in many practical applications, not all components in standby can be treated as identical because they have different failure and repair rates.
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