Risk Assessment and Management of National Defense Engineering Construction Based on HHM-RFRM

Liu, Hanzeng; Chen, Guiming; Lin, Zhiqiang

doi:10.1088/1757-899x/780/7/072026

Cited by 2 publications

(3 citation statements)

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“…RFRM is a method of filtering, sorting, and managing risks (Lambert et al., 1992), which embodies a philosophical thought of distinguishing the lprimary and secondary contradictions. The secondary risks are filtered out first, the main risks are analyzed first, the key risks are found through qualitative and quantitative analysis, and then the key risks are analyzed in depth (Liu et al., 2019). The combination of the two methods runs through the whole process of risk analysis.…”

Section: Methodsmentioning

confidence: 99%

“…The RFRM method, known as the risk filtering, ranking, and management model, is a method developed by American scholars for NASA to first try out the risk rating and risk index screening and filtering in the field of aerospace engineering. After the continuous development and improvement of scholars, the RFRM method has been applied to various fields, including ships (Liu et al., 2019), urban tunnels (Guo, 2021), natural disasters (Huang et al., 2023), and coal mines (Zhang & Xiao 2011), which are still rare in the cold chain industry. The principle of RFRM is to identify the risk set by a certain method.…”

Section: Literature Reviewmentioning

confidence: 99%

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Research on risk factor filtering and rating of cold chain logistics from the perspective of root‐state risk identification

Wang,

Zhang

et al. 2024

Journal of Food Science

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The natural attributes of perishable and vulnerable cold chain products make the cold chain have more risks than the general supply chain. The attribute characteristics and internal relations of various risks increase the complexity of risk analysis. The purpose of this paper is to study the horizontal and vertical assessment of various risk factors. The multi‐dimensional risk measurement model is used to integrate the assessment of multiple risk factors of human, machine, environment, and management, and the cold chain risk management is discussed from the perspective of risk factor classification. The root‐state risk identification (RSRI) method was used to identify potential risks. Based on the double standard filtering and multiple criteria, the filtering of irrelevant risks and screening of uncontrollable risks were evaluated, and the triangular fuzzy number method was used to quantitatively evaluate the controllable risk factors. A total of 223 potential risks, 18 important risks, and 6 key risks were identified, followed by inspection and quarantine reports, pesticide residues, improper loading and unloading operations, unqualified centralized environment, unqualified pre‐cooling technology of carriages, and unreasonable storage temperature. According to the analysis results, targeted control measures are proposed to better prevent risks and reduce the probability of cold chain accidents. The traditional risk assessment method can only assess the impact of a single risk factor on the system. This assessment method overcomes this limitation and provides a new perspective for cold chain risk management.Practical ApplicationThis study laid the foundation for further risk safety management of cold chain logistics.

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Section: Methodsmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Research on risk factor filtering and rating of cold chain logistics from the perspective of root‐state risk identification

Wang,

Zhang

et al. 2024

Journal of Food Science

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“…Domestic and foreign scholars have conducted research on the theoretical model of risk management. The current flight safety risk management is mainly based on several existing theoretical models of accident causation [5][6][7][8][9][10], such as the Software, Hardware, Environment, Liveware model (SHEL), Reason's "Swiss cheese" model, the functional resonance analysis method (FRAM), the holographic modeling method and risk filtering, rating and management theory (HHM-RFRM), and Event Tree Analysis (ETA). Based on those theoretical models, scholars have researched the critical aspects of flight safety risk management.…”

Section: Introductionmentioning

confidence: 99%

Flight Training Risk Identification and Assessment Based on the HHM-RFRM Model

et al. 2023

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Due to the unavoidable operational risks and insufficient risk management capabilities of beginner pilots in flight training, the challenge of risk control in aviation schools has become increasingly prominent. To ensure the safety of flight training in aviation schools and to reduce costs and increase revenue, the essential prerequisite for improving efficiency is risk management. Therefore, it is necessary to explore risk identification and assessment methods. This paper adopts the holographic modeling (HHM) method and risk filtering, rating and management (RFRM) theory. First, the HHM idea is used to construct a risk identification framework (HHM-PAVE) for flight training. Second, based on the dual criteria, multiple criteria and cloud model (CM) in the RFRM approach, an improved risk assessment matrix-cloud model (IPC-CM) is proposed and combined with the N-K model and Bayes’ theorem to propose a coupled risk scenario hazard measurement model (CR-HM) based on the HHM-RFRM approach in risk assessment. In the assessment process, the impact of risk factors on system stability as well as the uncertainty problem and coupling–risk quantification problem in expert assessment are considered to obtain scientific and objective quantitative assessment results. Finally, the risk identification and assessment experiments were conducted using HHM-RFRM on the flight training. The results show that the method can more accurately identify critical risk factors in a flight training system and provide a new perspective for risk prevention and control.

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Risk Assessment and Management of National Defense Engineering Construction Based on HHM-RFRM

Cited by 2 publications

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Research on risk factor filtering and rating of cold chain logistics from the perspective of root‐state risk identification

Research on risk factor filtering and rating of cold chain logistics from the perspective of root‐state risk identification

Flight Training Risk Identification and Assessment Based on the HHM-RFRM Model

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