Comprehensive Evaluation of Civil Aviation Senior Inspector Competence Based on Cloud Model

DOI: https://doi.org/10.62517/jsse.202408202

Author(s)

Hang He, Shuai You, Weichun Li, Bo Gao

Affiliation(s)

Civil Aviation Flight Universitiy of China, Guanghan, Sichuan, China

Abstract

The role of senior aviation inspectors as exemplar leaders in industry regulatory enforcement plays a crucial role in enhancing the regulatory enforcement capabilities of all inspectors, consolidating the "three foundations" of civil aviation regulatory work, and advancing the modernization of the governance system and governance capabilities in the civil aviation industry. To evaluate the work of senior aviation inspectors better, a competency assessment indicators system for senior inspectors was constructed based on the foundation of "One Quality, Three Capabilities" combined with job requirements. Finally, a comprehensive evaluation cloud chart generated by the cloud model was used to assess the competency levels of senior aviation inspectors. Applying this method to evaluate the comprehensive capability of senior inspectors in a certain regulatory bureau, the results indicate that the integrated competency of the senior inspector is close to an excellent level, with outstanding professional competence reaching an excellent level, while other competencies are at an above-average level. The evaluation results align with the actual work performance of the senior inspector, validating the rationality of the evaluation indicators system and the applicability of the evaluation method. The evaluation results can serve as a reference for the performance appraisal of senior inspectors and the improvement of inspector capabilities.

Keywords

Civil Senior Aviation Inspectors; Competency Evaluation; Entropy Weights; Cloud Model

References

[1] Chen F, Luo Y. Research on Competency Model of Civil Aviation Quality and Safety Inspectors. China Safety Science Journal, 2011, 7(12): 140-144. [2] Li X, Zhao Y. The FAA Safety Inspection System and Its Enlightenment to China's Civil Aviation. China Civil Aviation, 2012(09): 45-50. [3] Luo F, Zu Z, Zhou G, et al. Evaluation of Aviation Safety Inspectors' Training Competence Based on OJT and FAHP. Science and Technology & Industry, 2021, 21(05): 121-125. [4] Gao B, Feng J, Shi K, Li W. Research on the Evaluation of Civil Aviation Inspectors' Competence Based on Improved Entropy Weight-Cloud Model. Journal of Civil Aviation University of China, 2023, 7(02): 117-122+10. [5] Hogan R, Warrenfeltz R. Educating the Modern Manager. Academy of Management Learning Education, 2003, 2(1): 74-84. [6] Pedler M, Burgoyne J, Boydell T. A Manager's Guide to Self-development. McGraw-Hill Education (UK), 2013. [7] Zhang X. The Selection and Improvement of Talent Appointment Mechanism in State-owned Enterprises in China. Chinese Public Administration, 2011(03): 23-28. [8] Cheng Q. Structural Entropy Weight Method for Determining Evaluation Index Weights. Systems Engineering - Theory & Practice, 2010, 30(07): 1225-1228. [9] Zhang S, Zhang M, Chi G. Scientific and Technological Evaluation Model Based on Entropy Weight Method and Its Empirical Research. Journal of Management Sciences in China, 2010, 7(01): 34-42. [10] Zhang T, Li M, Xu Y. Construction and Empirical Research on Evaluation Index System of Rural Revitalization. Management World, 2018, 34(08): 99-105. [11] Shen J, Du S, Luo Y, et al. Fuzzy Comprehensive Evaluation Method and Application Based on Cloud Model. Fuzzy Systems and Mathematics, 2012, 26(06): 115-123. [12] Li B, Zhu P, Xiao R, et al. Application of Composite Weighting Cloud Model in Adaptive Evaluation of Highway Toll Gates. Journal of Transportation Engineering, 2023, 23(05): 223-233. [13] Liu Y, Teng B, Cai R. Evaluation of Laboratory Safety Management Capability in Universities Based on Maturity Cloud Model. China Standardization, 2023, (21): 203-213. [14] Zhou Z, Shi H, Dong Y, et al. City Road Collapse Risk Assessment Based on Hierarchical Entropy Weight-Cloud Model. Journal of Safety and Environment, 2023, 23(06): 1752-1761. [15] Xia J. Application Analysis of Likert 5-Point Scoring Method in Job Satisfaction Research. Rural Science Experiments, 2018(2):2.