Actuarial Notes

System Reliability

Study guide: Exam MAS-I

System Reliability is the probability that a system of components functions, when whether the system works is a fixed function of which components work — its structure function \phi — and each component i works independently with probability p_i (Ross, ch. 9).

\phi(\mathbf{x}) = \begin{cases} 1 & \text{if the system works} \\ 0 & \text{if it fails} \end{cases}

r(\mathbf{p}) = P\big(\phi(\mathbf{X}) = 1\big) = E\big[\phi(\mathbf{X})\big]

  • x_i = 1 if component i works and 0 if not; r(\mathbf{p}) is the reliability function.
  • Series (works only if all work): \phi = \prod x_i and r = \prod p_i. Parallel (works if any works): \phi = 1 - \prod(1 - x_i) and r = 1 - \prod(1 - p_i). A Joint Life status is a series system of lives; a last-survivor status is a parallel one.
  • k-out-of-n (works if at least k work): with equal p, r = \sum_{i=k}^{n} \binom{n}{i} p^i (1-p)^{n-i}, a binomial tail. Series is n-out-of-n; parallel is 1-out-of-n.
  • A minimal path set is a set of components whose working alone makes the system work, with no proper subset doing so; a minimal cut set is a set whose failure alone makes it fail, again minimal. A k-out-of-n system has \binom{n}{k} minimal path sets (every k-subset) and \binom{n}{n-k+1} minimal cut sets (every (n-k+1)-subset) — the Combinatorics in the syllabus.
  • Bounds from minimal cut sets C_j and minimal path sets A_j, when the exact r(\mathbf{p}) is tedious:

\prod_{j} \Big[1 - \prod_{i \in C_j} (1 - p_i)\Big] \;\leq\; r(\mathbf{p})

r(\mathbf{p}) \;\leq\; 1 - \prod_{j} \Big[1 - \prod_{i \in A_j} p_i\Big]

  • Lifetimes: if component i survives to t with probability \bar F_i(t), the system does with probability r(\bar{\mathbf{F}}(t)), and its expected life is \int_0^\infty r(\bar{\mathbf{F}}(t))\,dt. A k-out-of-n system fails at the (n-k+1)-th component failure, an order statistic.

Path and Cut Sets of a k-out-of-n System An insurer's claims platform runs on three servers and stays up while at least two are running. Each server is up independently with probability 0.9. List the minimal path and cut sets, find the reliability, and count the sets for a 3-out-of-5 design.

Answer Minimal path sets are the pairs \{1,2\}, \{1,3\}, \{2,3\}; minimal cut sets are also the pairs, since n - k + 1 = 2 failures bring it down.

\begin{align*}
r &= 3p^2(1-p) + p^3 \\
&= 3(0.81)(0.1) + 0.729 \\
&= 0.972
\end{align*}

For 3-out-of-5: \binom{5}{3} = 10 minimal path sets and \binom{5}{5-3+1} = \binom{5}{3} = 10 minimal cut sets.

Bounding a Bridge Structure A bridge system has components 1 and 2 leaving the source, 4 and 5 entering the sink, and 3 linking the two middle nodes. Its minimal path sets are \{1,4\}, \{2,5\}, \{1,3,5\}, \{2,3,4\} and its minimal cut sets \{1,2\}, \{4,5\}, \{1,3,5\}, \{2,3,4\}. Each component works with probability 0.9. Find r exactly and compare with the bounds.

Answer Condition on component 3. If it works, the system is (1 or 2) in series with (4 or 5); if not, it is \{1,4\} in parallel with \{2,5\}:

\begin{align*}
r &= 0.9\,\big[1 - 0.1^2\big]^2 + 0.1\,\big[1 - (1 - 0.81)^2\big] \\
&= 0.9(0.9801) + 0.1(0.9639) \\
&= 0.97848
\end{align*}

Bounds: lower = (1 - 0.1^2)^2 (1 - 0.1^3)^2 = 0.97814; upper = 1 - (1 - 0.81)^2 (1 - 0.729)^2 = 0.99735. The cut-set bound is very tight when components are reliable.

Expected Life of a 2-out-of-3 System Each server in the first example has an exponential lifetime with mean 10 years. Find the system's expected life.

Answer With p = e^{-t/10}, r = 3p^2 - 2p^3:

\begin{align*}
E[L] &= \int_0^\infty \left(3e^{-2t/10} - 2e^{-3t/10}\right) dt \\
&= 3(5) - 2\left(\tfrac{10}{3}\right) \\
&= 8.33 \text{ years}
\end{align*}

Shorter than one server's 10 years: the system fails at the second failure, which on average comes sooner than a single server's failure. Redundancy here buys reliability early on, not a longer expected life.