Application of Fuzzy Comprehensive Evaluation Method Based on AHP in the Efficiency Assessment of Airport Runway Emergency Repair Operations
Year: 2025
Type: article
Abstract: 跑道抢修能力评估作为机场保障能力建设的基础性工作，可以动态掌握作业过程中的优势与不足，为优化作业流程、改进技术装备、提高人员素质提供重要依据。但是，当前机场跑道抢修专业队伍建设侧重实体能力，而效能评估体系滞后，缺乏科学量化方法。针对这一问题，本文构建包含5个一级指标、14个二级指标、35个三级指标的评估体系，融合层次分析法(AHP)与模糊综合评价法，解决指标权重分配与模糊定性指标量化难题。通过德尔菲法优化指标体系，纳入智能化抢修、无人化作业、军民融合等实战要素，建立多维度效能评估模型。案例分析表明，该模型可精准识别抢修能力短板，为优化资源配置、改进装备技术、提升人员素质提供科学决策依据，对增强机场跑道保障能力具有重要现实意义。The evaluation of runway emergency repair capability, as a fundamental task in the construction of airport support capabilities, enables dynamic understanding of the advantages and disadvantages in the operation process, providing an important basis for optimizing the operation process, improving technical equipment, and enhancing personnel quality. However, the current construction of professional teams for airport runway emergency repair focuses on physical capabilities, while the effectiveness evaluation system lags behind, lacking scientific and quantitative methods. Aiming at this problem, this paper constructs an evaluation system that includes 5 first-level indicators, 14 second-level indicators, and 35 third-level indicators. By integrating the Analytic Hierarchy Process (AHP) and the Fuzzy Comprehensive Evaluation Method, it solves the problems of index weight distribution and quantification of fuzzy qualitative indicators. The index system is optimized through the Delphi method, incorporating practical elements such as intelligent emergency repair, unmanned operation, and civil-military integration, and a multi-dimensional effectiveness evaluation model is established. The case analysis shows that this model can accurately identify the weaknesses of the emergency repair capability, providing a scientific decision-making basis for optimizing resource allocation, improving equipment technology, and enhancing personnel quality, which has important practical significance for enhancing the airport runway support capability.
Source: Modeling and Simulation
Author: 佳宝 李
Language: English
Subfield: Ecological Modeling
Field: Environmental Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4411458735