Abstract: The single equipment standard in equipment maintenance management expenditure is an importantreference for the daily maintenance of the equipment. How to reasonably formulate single-equipment measures is the main problem in the current standardized management of equipment maintenance expenses. In response to this problem, this paper proposes a quantitative analysis strategy for the formulation of single-equipment expenditure standards based on meeting the troops’ actual needs. Based on the clustering method, the original data is processed, and the concept of expected standards is introduced to establish a unit satisfaction function for the expected standards. Finally, the optimization goal is solved by a particle swarm algorithm. The research results show that the method in this paper is suitable for analyzing large-scale data, and has excellent scalability. Simultaneously, it can plan the single-equipment standard combination according to the importance of equipment, and optimize the current single-equipment standard determination mode with qualitative analysis as the primary method.

Key words: equipment maintenance management expenditure, clustering, expected standards

摘要： 装备维修管理费单装标准是领报装备日常维护保养经费的重要依据。如何合理制定单装标准是当前装备维修经费标准化管理中面临的主要难题,针对该问题,本文以满足部队实际需求为出发点,提出了单装标准制定的定量分析策略,基于聚类方法处理原始数据,并引入期望标准的概念,建立了关于期望标准的单位满意度函数,最后,通过粒子群算法实现优化目标的求解。研究结果表明本文方法适用于大规模数据的分析处理,扩展性良好,同时可以有针对性地根据装备重要程度规划单装标准组合,优化了当前以定性分析为主要手段的单装标准确定模式。

关键词: 装备维修管理费, 聚类, 期望标准