基于随机Petri网的多层级航班地面保障流程性能分析OA

To accurately characterize and evaluate the performance of flight ground handling opera-tions,this study proposes a method for constructing and analyzing multi-level Stochastic Petri Net(SPN)models of ground handling processes.Both the execution of handling tasks and the connections between handling nodes are modeled as transitions in the SPN,capturing the complex series-parallel relationships across the entire process.A time-performance equivalence simplification method is ap-plied to reduce analytical complexity,after which an isomorphic Markov chain is used to evaluate per-formance,yielding place occupancy(busy)rates and transition utilizations for the multi-level SPN model.An input-output place-occupancy quadrant diagram visually highlights high-and low-efficiency areas in the process,enabling precise classification of pre-connection and post-connection states.By combining this with transition results and analyzing the cumulative change in steady-state probabilities under dynamic variations of mean transition rates,critical handling nodes and connections are identi-fied,including four critical nodes and six key inter-node connections.Results indicate that critical part often occur at loosely connected nodes,such as the post-catering and in-flight supply connections to cabin door closure.Even when individual task durations are short,prolonged preceding or subsequent states can reduce overall handling efficiency.Furthermore,when the mean occurrence rate of a critical node or connection exceeds 0.2,corresponding to a duration reduced to 5 minutes,the overall process duration stabilizes.This study provides theoretical support and practical guidance for improving turn-around time prediction accuracy and enhancing ramp operation efficiency under collaborative airport decision-making.