Comprehensive Evaluation of Maintainability Ergonomics Based on Combined Weighting

To scientifically evaluate the maintainability ergonomics level of aero-engines and address the challenge of uniformly quantifying multi-source and multi-scale indicators, a comprehensive evaluation method based on combined weighting is proposed. By integrating the subjective weights derived from Order Relation Analysis (G1 method) with the objective weights determined through the Minimum Mean Square Error (MSE method), a comprehensive weight optimization model considering both subjective and objective factors is established. Taking the disassembly tasks of the T700-701D turboshaft engine as the scenario, a hierarchical evaluation system is developed based on three criteria—visibility, accessibility, and operational comfort—further refined into six detailed indicators, including basic field-of-view and tool accessibility. Results indicate that tool accessibility has the highest weight (43.0%), followed by tool operation space (14.4%) and basic field-of-view (13.9%). The weight distribution aligns well with actual engineering demands, thereby validating the rationality and applicability of the combined weighting method. This approach can provide a quantitative basis for ergonomic optimization in aero-engine maintainability design, effectively improving maintenance efficiency and safety.

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Publication Details

Journal
Journal of Engineering and Applied Science
Published
2026-01-05
DOI
https://doi.org/10.1186/s44147-025-00856-w
Primary Topic
Manufacturing Process and Optimization
Type
article
Field-Weighted Citation Impact
0.00

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article

Comprehensive Evaluation of Maintainability Ergonomics Based on Combined Weighting

Fang Wang, Ning Wang, Long Zhang, Xinjian Xu
Journal of Engineering and Applied Science
Manufacturing Process and Optimization
article

Comprehensive Evaluation of Maintainability Ergonomics Based on Combined Weighting

Fang Wang, Ning Wang, Long Zhang, Xinjian Xu
article en

Abstract

To scientifically evaluate the maintainability ergonomics level of aero-engines and address the challenge of uniformly quantifying multi-source and multi-scale indicators, a comprehensive evaluation method based on combined weighting is proposed. By integrating the subjective weights derived from Order Relation Analysis (G1 method) with the objective weights determined through the Minimum Mean Square Error (MSE method), a comprehensive weight optimization model considering both subjective and objective factors is established. Taking the disassembly tasks of the T700-701D turboshaft engine as the scenario, a hierarchical evaluation system is developed based on three criteria—visibility, accessibility, and operational comfort—further refined into six detailed indicators, including basic field-of-view and tool accessibility. Results indicate that tool accessibility has the highest weight (43.0%), followed by tool operation space (14.4%) and basic field-of-view (13.9%). The weight distribution aligns well with actual engineering demands, thereby validating the rationality and applicability of the combined weighting method. This approach can provide a quantitative basis for ergonomic optimization in aero-engine maintainability design, effectively improving maintenance efficiency and safety.

Journal of Engineering and Applied ScienceVol. 73(1)
Aviation Industry Corporation of China (China) (CN), Aero Engine Corporation of China (China) (CN), Beihang University (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 97%
Manufacturing Process and Optimization
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