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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This research was supported by the Civil Aviation Administration of China (CAAC) “Safety Capability” Building Fund (Grant No. AADSA2019009) and the Fundamental Research Funds of Central Universities (Grant No. 3122022060).
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Liu, T., Shi, Z., Dong, H. et al. Risk evaluation for the task transfer of an aircraft maintenance program based on a multielement connection number. Front. Eng. Manag. 11, 16–31 (2024). https://doi.org/10.1007/s42524-023-0282-0
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DOI: https://doi.org/10.1007/s42524-023-0282-0