Figure 6
The matrix presents Spearman correlation coefficients between various disrupted-operation instances, with 99 solved instances analyzed. The matrix consists of nine rows and nine columns, each representing different delay metrics. The diagonal elements all show a correlation coefficient of 1.0, indicating perfect correlation with themselves. Notable correlations include high values between Plan Length and Blockage Delay at 0.98, and between Plan Length and Engine Failure Delay at 0.98. The correlation between Total Delay and Blockage Delay is also significant at 0.87. Lower correlations are observed between Slowdown Delay and other metrics, with values such as 0.11 with Plan Length and 0.53 with Makespan. The coefficients with an absolute value greater than 0.53 are significant at p < 10ˆ-9, while those below 0.20 are not significant at the 0.05 level. The matrix highlights the relationships and significance levels between different delay metrics in disrupted-operation scenarios.Spearman correlation heatmap over the n = 99 solved disrupted-operation instances. Coefficients with |ρ| ≥ 0.53 are significant at p < 10−9, while coefficients below 0.20 are not significant at the 0.05 level