Year: 2026
Type: article
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.
Authors: Xinjian Xu, Long Zhang, Ning Wang, Fang Wang
Language: English
Topic: Ergonomics and Human Factors
Subfield: Biomedical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
Awards: G1151461850, G762221558, G8359488881
OpenAlex ID: W7118185199