Table 1 Maintenance strategies optimization.

From: Monte Carlo simulation for evaluating and optimizing the efficiency of BR and QIR maintenance strategies

Strategies

Relative weight

Optimal decision variables

Long-run expected cost rate

Standard deviation of MCPRC

BR

\(\lambda = 2.4\)

\(T_{opt} = 8.20\)

\(C_{\infty }^{BR} = 6.713\)

\(\sigma_{\infty }^{BR} = 3.721\)

\(\lambda = 1.4\)

\(T_{opt} = 9.70\)

\(C_{\infty }^{BR} = 5.986\)

\(\sigma_{\infty }^{BR} = 4.109\)

\(\lambda = 0\)

\(T_{opt} = 15.90\)

\(C_{\infty }^{BR} = 5.054\)

\(\sigma_{\infty }^{BR} = 5.682\)

QIR

\(\lambda = 2.4\)

\(\alpha_{opt} = 0.37\)

\(C_{\infty }^{PIR} = 4.063\)

\(\sigma_{\infty }^{PIR} = 4.020\)

\(M_{opt} = 8.80\)

\(\lambda = 1.4\)

\(\alpha_{opt} = 0.55\)

\(C_{\infty }^{PIR} = 3.832\)

\(\sigma_{\infty }^{PIR} = 4.140\)

\(M_{opt} = 18.3\)

\(\lambda = 0\)

\(\alpha_{opt} = 0.34\)

\(C_{\infty }^{PIR} = 3.667\)

\(\sigma_{\infty }^{PIR} = 4.487\)

\(M_{opt} = 15.60\)