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CRE · Question #413

Availability of a system is roughly the:

The correct answer is A. Product of the individual subsystem availabilities. When subsystems are arranged in series (each must work for the whole system to work), overall system availability is found by multiplying the individual availability values together - for example, two subsystems each at 0.9 availability yield a combined availability of 0.9 ×…

Maintainability and Availability

Question

Availability of a system is roughly the:

Options

  • AProduct of the individual subsystem availabilities.
  • BSum of the individual system availabilities.
  • CThe difference of the individual subsystem.
  • DThe quotient of the individual subsystem availability.

How the community answered

(40 responses)
  • A
    73% (29)
  • B
    5% (2)
  • C
    13% (5)
  • D
    10% (4)

Explanation

When subsystems are arranged in series (each must work for the whole system to work), overall system availability is found by multiplying the individual availability values together - for example, two subsystems each at 0.9 availability yield a combined availability of 0.9 × 0.9 = 0.81. This reflects that each component's chance of being up compounds the overall probability.

Why the distractors are wrong:

  • B (Sum): Adding availabilities would produce values greater than 1.0, which is impossible for a probability - this only applies to certain redundant (parallel) configurations, and even then it's not a simple sum.
  • C (Difference): Subtracting availabilities has no meaningful interpretation in reliability engineering.
  • D (Quotient): Dividing one availability by another is also meaningless in this context and could produce values greater than 1.

Memory tip: Think of availability like rolling dice - to get all dice to land on a specific face simultaneously, you multiply the individual probabilities. Systems in series work the same way: every component must be "up" at the same time, so you multiply.

Topics

#system availability#series system#subsystem availability#probability

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