Analysis of sortie generation on an aircraft carrier with discrete event simulation
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초록
The sortie generation rate (SGR), defined as the number of sorties an aircraft carrier can launch and recover within a specified time, is a key metric for evaluating operational capacity. However, accurately predicting SGR is challenging due to complex deck constraints, bottlenecks, and maritime conditions. This study proposes a discrete event simulation framework incorporating a graph-based deck layout, dynamic flight program, and detailed sortie generation process model. Three experimental scenarios were tested: evaluating the effects of deck layouts and fighter capacities on sortie performance, optimizing flight program to maximize mission success rate (MSR), and conducting sensitivity analysis to identify critical bottlenecks. Results revealed optimal deck configurations, while flight program optimization improved MSR from 50 % to 100 % and reduced mission delays by 64 %. Sensitivity analysis identified ‘man aircraft’ in pre-flight as critical for SGR performance, highlighting efficiency targets. The proposed framework provides quantitative insights for optimizing carrier operations under realistic constraints.
Abstract
The sortie generation rate (SGR), defined as the number of sorties an aircraft carrier can launch and recover within a specified time, is a key metric for evaluating operational capacity. However, accurately predicting SGR is challenging due to complex deck constraints, bottlenecks, and maritime conditions. This study proposes a discrete event simulation framework incorporating a graph-based deck layout, dynamic flight program, and detailed sortie generation process model. Three experimental scenarios were tested: evaluating the effects of deck layouts and fighter capacities on sortie performance, optimizing flight program to maximize mission success rate (MSR), and conducting sensitivity analysis to identify critical bottlenecks. Results revealed optimal deck configurations, while flight program optimization improved MSR from 50 % to 100 % and reduced mission delays by 64 %. Sensitivity analysis identified ‘man aircraft’ in pre-flight as critical for SGR performance, highlighting efficiency targets. The proposed framework provides quantitative insights for optimizing carrier operations under realistic constraints.