Using N-K Model to quantitatively calculate the variability in Functional Resonance Analysis Method

Huang, Wencheng; Yin, Dezhi; Xu, Yifei; Zhang, Rui; Xu, Minhao

doi:10.1016/j.ress.2021.108058

Cited by 24 publications

(10 citation statements)

References 38 publications

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“…(2022) stated that the socio-technical system must have appropriate resilience to withstand the disturbance and absorb the performance variability of its sub-systems and procedures. The later point out that the main causes of the performance variability are attributable to human operator and technology along with hidden conditions, as mentioned by Huang et al (2022): "The coupling and interactions among human errors, mechanical failures, terrible environment, and organization factor might cause the system state change, and cause the variability during the operation processes of the system".…”

Section: The Functional Resonance Analysis Methodsmentioning

confidence: 99%

A High-Level Risk Management Framework as Part of an Overall Asset Management Process for the Assessment of Industry 4.0 and Its Corollary Industry 5.0 Related New Emerging Technological Risks in Socio-Technical Systems

Diop¹,

Abdul-Nour²,

Komljenović³

2022

AJIBM

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Suffice to say that long-established businesses have their own challenges. Furthermore, accurate systematic methods and tools for managing risks in the context of industry 4.0 are lacking or less efficient, spreading unrealistic awareness of risk (or situational awareness) in various domains where risk management is needed. Conventional methods have their own limits and might not identify all aspects that influence system safety. Once traditional industry challenges are combined with emerging risks along with new systemic and organizational risks as well as cognitive and motivational biases in human logic, there will be the necessity of building thorough Asset Management and Decision Support approaches accounting both for conventional and emerging risk safety management. Hence, innovative, and efficient approaches that can investigate issues from a broad systemic perspective to support asset management practitioners to deal with those threats associated with the complexity of socio-technical systems are of interest. On these grounds, this paper focuses on identifying and analyzing components of risk management approaches especially for new emerging safety risks within industry 4.0 (emerging technology-related risks), as well as the rising of extreme, rare, and disruptive events, at a time of continued uncertainty in the global economy, in conjunction with the highly insecure political situation caused by recent armed conflicts (for e.g., Russia vs Ukraine), and the coronavirus disease pandemic (COVID-19) that might create fatal disturbance of the performance of organizations. We opt for the relatively new methods that How to cite this paper: Diop, I., Abdul-Nour, G., & Komljenovic, D.

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Section: The Functional Resonance Analysis Methodsmentioning

confidence: 99%

A High-Level Risk Management Framework as Part of an Overall Asset Management Process for the Assessment of Industry 4.0 and Its Corollary Industry 5.0 Related New Emerging Technological Risks in Socio-Technical Systems

Diop¹,

Abdul-Nour²,

Komljenović³

2022

AJIBM

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“…This study stands in the perspective of macro-system risk analysis by collecting historical data and calculating based on the frequency (probability) of occurrence of the corresponding risk factors. The TOPSIS method has some advantages over the N-K model [ 42 ] commonly used in multi-factor data analysis: The N-K model does not consider the impact of time advancement on the hazardous materials management system, and the focus of its examination is on the risk situation in the whole system within a certain period (usually determined by the managers or scholars according to the calculation needs) [ 43 ]. Therefore, when collecting historical data, it is only necessary to count the number of incidents that occurred in the system during a certain period; The entropy-TOPSIS-based model considers the development level of systematic risk in the DG management system during a certain period and focuses on the intensity and development level of subsystems.…”

Section: Risk Evaluation Of China’s Hazardous Chemical System From 20...mentioning

confidence: 99%

“…Therefore, when collecting historical data, it is only necessary to count the number of incidents that occurred in the system during a certain period; The entropy-TOPSIS-based model considers the development level of systematic risk in the DG management system during a certain period and focuses on the intensity and development level of subsystems. Therefore, when collecting historical data, it is necessary to count the frequency of certain risk factors in each subsystem in each year (or month); The entropy-TOPSIS-based model generally adopts the values commonly used in physics when analyzing the system risk intensity, while the N-K model only needs to rank the calculation results [ 42 ]; This study focuses on the evaluation of the overall risk of HCA from 2000 to 2020, but the coupling between the causes of HCA is not analyzed, after which modeling studies can be conducted on the intrinsic factors and connections of accidents in the whole process of hazardous chemical management. …”

Section: Risk Evaluation Of China’s Hazardous Chemical System From 20...mentioning

confidence: 99%

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Characteristics and Statistical Analysis of Large and above Hazardous Chemical Accidents in China from 2000 to 2020

Yang

Zheng

Peng

et al. 2022

IJERPH

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To investigate the occurrence and development pattern of large-scale hazardous chemicals emergencies, a statistical analysis of 195 large and above accidents of hazardous chemicals in China during 2000–2020 was conducted. A general description of the characteristics of larger and above accidents based on statistical data was analyzed, and then the system risk of the hazardous chemical industry was calculated and evaluated by the entropy weight method and the TOPSIS method comprehensively. Results show that: (1) The geographical distribution of large and above hazardous chemical accidents (LAHCA) varies significantly; (2) The high-temperature season has high probabilities of having large and above accidents; (3) Human factors and management factors are the main causes of LAHCA; (4) During the period from 2000 to 2020, due to the rapid development of the chemical industry, the overall risk of accidents involving hazardous chemicals were upswing accompanied by volatility, and the risk of serious accidents remains high. The development history of safety regulations in China’s hazardous chemical sector and the industry’s projected course for future growth were then discussed. Finally, based on the findings of the aforementioned statistics and research, specific recommendations were provided for the safety management of the hazardous chemical sector. This study expects to provide a practical and effective reference for the construction of safety management as well as accident prevention in the hazardous chemical industry.

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“…The evaluation results revealed that armed conflicts, climate change, and flooding were three of the most critical risk factors in Yemeni heritage buildings. Huang et al [11] believed that the coupling and interaction between human errors, mechanical failures, adverse environment, and organizational factors may lead to the change of system state, resulting in the variability of system operation, so that they used the N-K model to calculate the coupling risk intensity, which provides a quantitative method to evaluate the variability of the functional module. Huang et al [12] used the N-K model to analyze the formation mechanism of the coupling risk of China's railway dangerous goods transport system from five aspects: human, machine, material, environment, and management.…”

Section: Literature Reviewmentioning

confidence: 99%

Grid-Based Employee Safety Behavior Risk Assessment of the Train Operation Department

Zhang

2022

Processes

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In the train operation department, the most important and dynamic factor is that the department employees are involved in all areas. Realizing the dynamic control of “key person, key event, and key period” to fundamentally curb employee inertia violation is a significant issue that needs to be solved on the railway site. The traditional “probability–severity” two-dimensional risk assessment model is carried out from the perspective of the system, ignoring the spatiotemporal risk characteristics of the individual, and a large amount of hazard factor data generated in the operation process is not applied in the risk assessment process. As a result, safety behavior risk practice lacks pertinence, accuracy, and individuation. This study proposes a safety behavior risk assessment model based on the grid management and hazard factor assignment function to improve the traditional two-dimensional risk matrix. By introducing spatial location variables, the method accurately locates and classifies the site staff and organizes the disorder and lack of associated risk data with regard to time and space. With a focus on the hazard factor, the induced intensity is proposed for the first time and considered as the input of probability calculation to innovate the traditional “probability–severity” risk matrix. Finally, the methodology is applied to the risk event assessment of “the assistant watchman doesn’t appear as required” scenario in the Huangyangcheng station of Shenshuo Railway, and the evaluation results realize the personalized evaluation of the risk event in different cell grids.

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Using N-K Model to quantitatively calculate the variability in Functional Resonance Analysis Method

Cited by 24 publications

References 38 publications

A High-Level Risk Management Framework as Part of an Overall Asset Management Process for the Assessment of Industry 4.0 and Its Corollary Industry 5.0 Related New Emerging Technological Risks in Socio-Technical Systems

A High-Level Risk Management Framework as Part of an Overall Asset Management Process for the Assessment of Industry 4.0 and Its Corollary Industry 5.0 Related New Emerging Technological Risks in Socio-Technical Systems

Characteristics and Statistical Analysis of Large and above Hazardous Chemical Accidents in China from 2000 to 2020

Grid-Based Employee Safety Behavior Risk Assessment of the Train Operation Department

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