舰艇服役期经济性评价指标体系构建

doi:10.12305/j.issn.1001-506X.2025.07.21

摘要/Abstract

摘要：

针对目前在役考核任务中服役期经济性评价, 存在仅以财务指标计算费用、评价指标结果单一、难以有效支持装备升级改进决策等局限, 提出一种基于统计方法及信息熵构建舰艇服役期经济性评价指标体系的方法。该方法根据全面性、科学性、可观测性原则, 首先对海选的评价体系指标集进行初步筛选; 再利用相关性分析和信息熵权重筛选法, 剔除冗余指标, 确保剩余指标的独立性与显著性; 最后通过因子分析法验证评价指标体系的合理性。实证分析结果显示, 应用该方法确定的评价指标体系能够高效反映原始可观测指标约97.76%的有效信息, 提升舰艇服役期经济性的考核效率与准确性。

关键词: 在役考核, 服役期经济性, 评价指标体系, 相关性分析, 信息熵

Abstract:

Aiming at the current economic evaluation of the service life in the in-service assessment task, there are limitations such as calculating the cost only by financial indicators, single evaluation indicator result, and difficult to effectively support the decision-making of equipment upgrading and improvement, a method based on the statistical method and information entropy to construct the economic evaluation indicator system of the ship service life is proposed. The method is based on the principles of comprehensiveness, scientificity and observability. Firstly, an initial screening of the initial set of evaluation indicator system is carried out. Then, using the correlation analysis and information entropy weight screening method, the redundant indicators are eliminated and the independence and significance of the remaining indicators are ensured. Finally, the reasonableness of the evaluation indicator system is verified by the factor analysis method. The results of empirical analysis show that the evaluation indicator system determined by applying this method can efficiently reflect about 97.76% of the effective information of the original observable indicators, and improve the efficiency and accuracy of the assessment of the economic performance of the ship service life.

Key words: in-service assessment, in-service economy, evaluation indicator system, correlation analysis, information entropy

中图分类号:

TJ01

甄子清, 黄栋, 韩松, 冯浩明. 舰艇服役期经济性评价指标体系构建[J]. 系统工程与电子技术, 2025, 47(7): 2275-2282.

Ziqing ZHEN, Dong HUANG, Song HAN, Haoming FENG. Construction of economic evaluating indicator system for service life of ships[J]. Systems Engineering and Electronics, 2025, 47(7): 2275-2282.

图/表 6

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决策层	特征层	观测层	筛选结果	指标方向
舰艇服役期经济性	人力因素成本A	年均运维人力成本A₁	1	负向
		年均维护人力成本A₂	1
		年均保障人力成本A₃	3
	运维因素成本B	平均任务能源成本B₁	1	负向
		年均弹药及必需品成本B₂	1
		年均差旅成本B₃	4
		年均舰艇岸勤成本B₄	3
		年均文化教育成本B₅	2
		年均二次转运成本B₆	4
	维修因素成本C	年均维修器材及备件成本C₁	1	负向
		年均易消耗品成本C₂	3
		年均基层级维修成本C₃	1
		年均中继级维修成本C₄	1
		年均基地级维修成本C₅	1
	持续保障因素成本D	年均使用与维修培训成本D₁	1	负向
		保障设施与场地成本D₂	2
		年均数据与资料成本D₃	4
		年均硬件改装调试成本D₄	1
		年均软件维护升级成本D₅	4
	服役期经济效益E	服役期效益成本比率E₁	1	正向
		服役期任务可靠度E₂	4
		剩余服役寿命E₃	1
		服役期年均成本与负担能力比率E₄	1	负向
		服役期年均成本与估算比率E₅	3	负向

特征层	保留指标	剔除指标	相关系数
舰艇人力因素成本A	A₁	A₃	0.955
舰艇人力因素成本A	A₂	A₃	0.958
舰艇运维因素成本B	B₁	B₄	0.999
舰艇维修因素成本C	C₁	C₂	0.961
舰艇服役期经济效益E	E₄	E₅	0.946

自变量	VIF
A₂	8.224
B₁	2.658
B₂	8.169
B₃	7.412
B₆	5.211
C₁	2.962
C₃	4.198
C₄	8.017
C₅	2.535
D₁	3.872
D₃	9.217
D₄	3.371
D₅	2.124
E₁	4.864
E₂	8.552
E₅	2.869
E₄	5.766

自变量	熵值	w_j
A₁	0.901 9	0.060 8
A₂	0.876 4	0.076 6
B₁	0.906 9	0.057 7
B₂	0.903 7	0.059 7
B₃	0.967 5	0.020 1
B₆	0.965 6	0.021 3
C₁	0.882 3	0.072 9
C₃	0.893 4	0.066 1
C₄	0.878 8	0.075 1
C₅	0.881 8	0.073 2
D₁	0.908 1	0.056 9
D₃	0.969 1	0.019 2
D₄	0.888 0	0.069 4
D₅	0.928 2	0.044 5
E₁	0.875 2	0.077 3
E₂	0.958 2	0.025 9
E₃	0.890 9	0.067 6
E₄	0.910 1	0.055 7

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