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Risk evaluation for the task transfer of an aircraft maintenance program based on a multielement connection number |
Tao LIU1, Zhibo SHI1(), Huifen DONG1, Jie BAI2, Yu YAN1 |
1. College of Electronics Information and Automation, Civil Aviation University of China, Tianjin 300300, China 2. College of Airworthiness, Civil Aviation University of China, Tianjin 300300, China |
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Abstract This paper proposes a framework for evaluating the efficacy and suitability of maintenance programs with a focus on quantitative risk assessment in the domain of aircraft maintenance task transfer. The analysis is anchored in the principles of Maintenance Steering Group-3 (MSG-3) logic decision paradigms. The paper advances a holistic risk assessment index architecture tailored for the task transfer of maintenance programs. Utilizing the analytic network process (ANP), the study quantifies the weight interrelationships among diverse variables, incorporating expert-elicited subjective weighting. A multielement connection number-based evaluative model is employed to characterize decision-specific data, thereby facilitating the quantification of task transfer-associated risk through the appraisal of set-pair potentials. Moreover, the paper conducts a temporal risk trend analysis founded on partial connection numbers of varying orders. This analytical construct serves to streamline the process of risk assessment pertinent to maintenance program task transfer. The empirical component of this research, exemplified through a case study of the Boeing 737NG aircraft maintenance program, corroborates the methodological robustness and pragmatic applicability of the proposed framework in the quantification and analysis of mission transfer risk.
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Keywords
risk evaluation
maintenance steering group
analytic network process
task transfer
maintenance program
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Corresponding Author(s):
Zhibo SHI
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Just Accepted Date: 22 November 2023
Online First Date: 27 December 2023
Issue Date: 13 March 2024
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