scholarly journals Quality and Safety Risk Assessment of Prefabricated Construction

2021 ◽  
pp. 181-188
Author(s):  
Tian Li, Huijie Shang
Keyword(s):  
Risk Factors ◽  
Evaluation System ◽  
Risk Index ◽  
Reliability And Validity ◽  
Construction Safety ◽  
Risk Indicators ◽  
Risk Level ◽  
Housing Project ◽  
Safety Risk ◽  
Advantages And Disadvantages

This paper identifies the construction safety risk of prefabricated housing project. This paper uses the questionnaire data combined with TOPSIS method to obtain the attribute weight corresponding to each risk index and the square sum of the distance between positive ideal value and negative ideal value, which is used as the standard for ranking the advantages and disadvantages of risk indicators. Combined with entropy theory, this paper sorts and screens the risk factors, and constructs the risk index evaluation system. This paper analyzes the rationality of reliability and validity of the questionnaire to ensure the reliability of the questionnaire. In this paper, Bayesian network method is used to analyze the construction safety risk factors of prefabricated housing project. This paper uses the combination of risk matrix method and analytic hierarchy process (AHP) to evaluate the overall risk, get the risk level, and weigh whether to deal with the risk in combination with the risk acceptance principle. On this basis, this paper puts forward specific measures to deal with the construction safety risk of prefabricated housing project.

Metro Construction Safety Risk Assessment of Xi'an Based on CIM Model

2014 ◽  
Vol 638-640 ◽  
pp. 804-808
Author(s):  
Bi Xue Zhang ◽  
Feng Hai Ma
Keyword(s):  
Risk Factors ◽  
Risk Assessment ◽  
Fuzzy Ahp ◽  
Construction Safety ◽  
Assessment System ◽  
Control Measures ◽  
Risk Level ◽  
Safety Risk ◽  
Geological Characteristics ◽  
Subway Construction

According to the geological characteristics of Xi'an, analyze the accidents may occur in metro construction. A metro construction safety risk assessment system should be built on the basis of the cause of the accident. Combined with the data of survey and design of Xi'an No.4 subway construction, using the fuzzy AHP to reach the parameters of risk assessment and build a CIM model. CIM model is applied to the risk assessment of Xi'an No.4 subway construction. The total metro construction safety risk can be gained through analyzing. In addition, risk events that may occur based on specific risk factors to determine the risk level. Lastly, control measures are put forward.

Risk assessment on drug production safety based on Grey-Analytic Network Process

Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jiaojiao Ge ◽  
Benhong Peng ◽  
Guo Wei ◽  
Anxia Wan
Keyword(s):  
Risk Factors ◽  
Risk Evaluation ◽  
Risk Index ◽  
Analytic Network Process ◽  
Risk Level ◽  
Safety Risk ◽  
Content Type ◽  
Drug Production ◽  
Production Safety ◽  
Network Process

PurposeTo strengthen the correlation analysis on risk factors of drug production safety and reduce the influence due to fuzzy judgments, a safety risk assessment method based on Grey-Analytic Network Process (G-ANP) is proposed.Design/methodology/approachFirst, an index system evaluating drug production safety risk is constructed according to the “Good Manufacture Practice of Medical Products,” next the influence weight of each risk index is derived by using the Analytic Network Process, then the grey number of each risk index is determined by further utilizing the grey statistical theory, and finally the risk level of drug production is obtained.FindingsAn empirical study is conducted and the results support the feasibility and practicability to use G-ANP method for drug production safety risk evaluation. The results of the case show that it is feasible and practical to use G-ANP method for drug production safety risk evaluation.Originality/valueThe innovation lies in the use of G-ANP method to fully consider the interdependence and interaction between the risk factors of drug production safety, which improves the objectivity in judging the risk level of drug production and provides a scientific basis for pharmaceutical manufacturers to formulate further decisions and management in the case of insufficient quantification of risk factors. Based on the findings, more targeted suggestions are made to reduce the production risk of pharmaceutical enterprises.

scholarly journals MEVA - a new method of occupational health and safety risk assessment

2019 ◽  
Vol 290 ◽  
pp. 12008
Author(s):  
Doru-Costin Darabont ◽  
Eduard Smîdu ◽  
Alina Trifu ◽  
Vicențiu Ciocîrlea ◽  
Iulian Ivan ◽  
...  
Keyword(s):  
Risk Factors ◽  
Risk Assessment ◽  
Occupational Health ◽  
Deductive Reasoning ◽  
Health And Safety ◽  
Occupational Health And Safety ◽  
New Method ◽  
Risk Level ◽  
Simple Method ◽  
Safety Risk

The paper describes a new method of occupational health and safety risk assessment. This method, called MEVA, unlike the old ones, focuses more on reduce or eliminate subjective issues in determining the probability of manifestation of risk factors and is based on a deductive reasoning, with the help of which is studied the chain between two or more events. The novelty of the method consists in combining risk assessment techniques with evaluation of compliance with legal and other requirements, aiming to provide a more objective results of the risk assessment. In the MEVA method, the risk matrix is defined by 5 classes of severity and 5 probability classes, resulting in 5 levels of risk. After quantifying the risk factors, prevention measures are proposed for all the identified risk factors and each partial risk level is recalculated as a result of the proposed measures. The five levels of risk were grouped into three categories: acceptable, tolerable and unacceptable. The MEVA method is a simple method and it can be used for assessing various workplaces, with different characteristics of complexity, activity domain or occupational health and safety recordings.

scholarly journals Risk Assessment of Boot Hydropower Projects in Nepal Using Fuzzy Logic Approach

2018 ◽  
Vol 3 ◽  
pp. 115
Author(s):  
Pramesh Tripathi ◽  
Santosh Kumar Shrestha
Keyword(s):  
Risk Assessment ◽  
Evaluation System ◽  
Risk Index ◽  
Assessment Method ◽  
Risk Level ◽  
Hydropower Project ◽  
Hydroelectric Project ◽  
Extreme Risk ◽  
Fuzzy Logic Approach ◽  
College Of Engineering

<p>Many Hydropower Projects in Nepal are carried out with insufficient risk assessment because of which time over run or variations are predominant. Many projects are stuck in preconstruction phase and others in construction phase. In this study all possible risks associated with the BOOT Hydropower Project in Nepal were identified and evaluated. Fuzzy rating tool has been used to quantify the risk associated with the BOOT Hydropower Projects in Nepal. It provides a flexible and easily understood way to analyze the project risks.  The relative importance (impact) of risk factors was determined from the survey results. A set of questionnaire was prepared for the survey. The survey was conducted with the experts that have experience in BOOT hydropower projects. From the survey, among the type of risks, Grid Connection / Power Evacuation, Political risk and Geological risk were found to be predominant risk respectively in BOOT hydropower projects in Nepal. The risk assessment method enabled a Risk Index (R) value to be calculated, establishing a 4-grade evaluation system: low risk having R values between 1.17 and 1.69; medium risk, between 1.69 and 2.08; high risk, between 2.08 and 2.47; extreme risk, between 2.47 and 2.78. Applicability of the methodology was tested on a real case hydropower project namely Middle Modi Hydroelectric Project (15.1 MW) which is in construction phase on Modi River in Western Region in Nepal and Madhya Bhotekosi Jalavidyut Company Ltd. (102 MW) which is also in construction phase on Bhotekoshi River in Central Region in Nepal.  The risk analysis method will give investors a more rational basis on which to make decisions and it can prevent cost and schedule overruns. An overall risk index can be used as early indicators of project problems or potential difficulties. Evaluators can keep track to evaluate the current risk level with the progress of investments.</p><p><strong>Journal of Advanced College of Engineering and Management</strong>, Vol. 3, 2017, Page: 115-125</p><p> </p>

scholarly journals Modeling the Formation Mechanism of Food Safety Risk in Catering O2O Distribution Link

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Ting Wu ◽  
Yilei Pei ◽  
Dandan Li ◽  
Peng Su
Keyword(s):  
Food Safety ◽  
System Dynamics ◽  
Formation Mechanism ◽  
Evaluation System ◽  
Risk Model ◽  
Model Simulation ◽  
Risk Index ◽  
Flow Diagram ◽  
Safety Risk ◽  
Food Safety Risk

This paper aims to solve the problem of food safety in catering O2O distribution link. We applied the system dynamics method to model the formation mechanism of food safety risk in the distribution link. The results of our experiment include identifying the risk factors that may be faced by food safety in the distribution link from five perspectives: O2O catering enterprise’s own risk, logistics distribution team’s distribution risk, O2O catering platform supervision risk, user-supervision risk, and government department supervision risk, and establishing a risk index evaluation system based on the Analytic Hierarchy Process. With the help of the system dynamics model, the corresponding risk formation mechanism system model flow diagram is established, and the model simulation analysis is carried out. Through this research, we concluded that we can use the risk model to understand the risks faced by different subjects so as to make targeted countermeasures.

scholarly journals Construction Safety Risk Assessment of Large-Sized Deep Drainage Tunnel Projects

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Kai Hu ◽  
Junwu Wang ◽  
Han Wu
Keyword(s):  
Risk Assessment ◽  
Fuzzy Comprehensive Evaluation ◽  
Construction Safety ◽  
Assessment Model ◽  
Economic Losses ◽  
Risk Level ◽  
Deep Drainage ◽  
Safety Risk ◽  
Drainage Tunnel ◽  
Weight Method

Frequent extreme climate events and rapid global urbanization have amplified the occurrence of accidents such as waterlogging or the overflow of pollution in big cities. This has increased the application scenarios of large-sized deep drainage tunnel projects (LSDDTPs). The scientific and accurate evaluation of the construction safety risks of LSDDTP can effectively reduce the corresponding economic losses and casualties. In this paper, we employed the hierarchical holographic model to construct the safety risk list of LSDDTPs in terms of the risk source and construction unit. Based on social network analysis, we then screened key indicators and calculated the weights of all secondary indicators from the correlation between risk factors. We subsequently developed a construction safety risk assessment model of LSDDTPs based on the matter-element extension method. The Donghu Deep Tunnel Project in Wuhan, China, was selected as a case study for the proposed method. The results of empirical research demonstrated that eight indicators (e.g., failure to effectively detect the change of the surrounding environment of the tunnel project) were key factors affecting the construction safety risk of IV, which is within the acceptable risk level. Our proposed model outperformed other methods (the fuzzy comprehensive evaluation, analytic hierarchy process, entropy weight method, and comprehensive weight method) in terms of scientific validity and research advancements.

scholarly journals Research on Safety Risk Assessment Method of Highway Bridge Construction Based on AHP-Fuzzy Comprehensive Evaluation

2021 ◽  
Vol 248 ◽  
pp. 03020
Author(s):  
Zhuang Guofeng
Keyword(s):  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Highway Bridges ◽  
Fuzzy Comprehensive Evaluation ◽  
Construction Safety ◽  
Risk Level ◽  
Bridge Construction ◽  
Fuzzy Comprehensive Evaluation Method ◽  
Safety Risk ◽  
Comprehensive Evaluation Method

The quality of road and bridge engineering is directly related to the safety of the transportation industry. In the construction of highway bridges, it is particularly important to strictly control the construction quality. Combining the analytic hierarchy process and the fuzzy comprehensive evaluation method, the AHP-fuzzy comprehensive evaluation method is used to obtain the current road bridge construction safety risk level. According to the different risk levels, effective measures should be taken to avoid unsafe accidents. On this basis, historical risk cases can be analyzed to find problems in the safety assessment of highways and bridges, and effective construction safety management and control measures can be put forward to ensure the vigorous development of my country’s highway and bridge industry.

scholarly journals Research on Coupling Degree Model of Safety Risk System for Tunnel Construction in Subway Shield Zone

2019 ◽  
Vol 2019 ◽  
pp. 1-19 ◽  
Author(s):  
Haize Pan ◽  
Jing Gou ◽  
Zihong Wan ◽  
Chuxuan Ren ◽  
Mengjie Chen ◽  
...  
Keyword(s):  
Risk Factors ◽  
Control Method ◽  
Development Stage ◽  
Construction Safety ◽  
Calculation Model ◽  
Shield Tunnel ◽  
Construction Technology ◽  
Destructive Effect ◽  
Safety Risk ◽  
Factors Affecting

Due to the complexity of construction technology and the seriousness of the safety situation in subway tunnels, it is urgent to find a risk-control method to monitor and evaluate the construction safety risk system of the subway shield tunnel and to avoid the occurrence of safety risk accidents. Based on the fuzzy entropy theory, this paper establishes a comprehensive index system for the construction safety risk system of shield tunnels. Also, in order to quantitatively analyze the coupling degree among various factors in the safety risk system, the calculation model of coupling degree is established based on the theory of coupling degree in physics. Taking Tianjin subway project as an example, the coupling degree of its safety risk system is calculated. The result shows that the coupling degree of the safety risk system is 0.6997, which indicates that the whole safety risk system is in high-risk coupling level. Due to the system in an unbalanced development stage, the coupling movement between various factors has a great destructive effect on the construction safety risk system of the subway shield tunnel. This model can not only identify the main risk factors affecting the safety risk system but also monitor the coupling status of the safety risk system in real time and master its development stage. By controlling the main risk factors affecting the safety risk system, the coupling degree of the safety risk system and the probability of the safety risk accident occurrence can be reduced.

scholarly journals A Cumulative Risk Model of Child Physical Maltreatment Potential: Findings From a Community-Based Study

2015 ◽  
Vol 33 (8) ◽  
pp. 1287-1305 ◽  
Author(s):  
Diogo Lamela ◽  
Bárbara Figueiredo
Keyword(s):  
Risk Factors ◽  
Risk Model ◽  
Trigger Point ◽  
Risk Index ◽  
Cumulative Risk ◽  
Cumulative Effect ◽  
Self Report ◽  
Risk Indicators ◽  
Cumulative Risk Model ◽  
Physical Maltreatment

Previous studies have identified the predictive risk factors of child physical maltreatment (CPM). However, a significant number of these studies assessed risk factors in isolation. The cumulative risk hypothesis postulates that health problems are caused by the accumulation of risk factors, independently of the presence or absence of specific risk indicators. Few studies examined the effect of cumulative risk on CPM potential. This study aimed to test two concurrent models of cumulative risk of CPM potential by investigating whether CPM potential was better predicted by a threshold cumulative risk model or a linear cumulative risk model. Data from the National Representative Study of Psychosocial Context of Child Abuse and Neglect in Portugal were used. Parents of school-age children ( N = 796) answered to self-report measures regarding sociodemographic variables, history of child maltreatment, psychological distress, and CPM potential. A cumulative risk index was computed, comprising 10 dichotomized risk factors. Evidence for a threshold cumulative effect was found. Additional bivariate logistic regressions revealed that the odds for high-potential CPM were dramatically higher for those parents with six or more risk factors when compared with parents with any one risk factor. By testing and confirming a threshold cumulative effect on CPM potential, it was possible to find a “trigger point” from which a dramatic increase in child physical maltreatment potential occurs.

scholarly journals Developing a Health Risk Evaluation Method for Triple H

2019 ◽  
Vol 16 (7) ◽  
pp. 1168 ◽  
Author(s):  
Chien-Chih Wang ◽  
Cheng-Ding Chang ◽  
Bernard Jiang
Keyword(s):  
Risk Factors ◽  
Health Risk ◽  
Evaluation System ◽  
Risk Index ◽  
Healthy People ◽  
Disease Assessment ◽  
Research Database ◽  
Health Risk Index ◽  
Normal Ranges ◽  
Triple H

The development of a health evaluation system from human-related data is an important issue in preventive medicine. Previously, most studies have focused on disease assessment and prevention in patients. However, even if certain risk factors are all within normal ranges, individuals may not necessarily be completely healthy. This study focused on healthy individuals to develop a new index to assess health risks; this index can be used for the prevention of multiple diseases in healthy people. The kernel density technique was proposed to estimate the distribution of common risk factors and to develop a health risk index. A dataset of hypertension, hyperlipidemia, and hyperglycemia (Triple H) data from the National Health Insurance Research Database in Taiwan was used to demonstrate the proposed analytical process. The results of risk factor changes after six weeks of exercise were used to calculate the health risk index. The results showed that the subjects experienced a 7.29% reduction in their health risk index after the exercise intervention. This finding demonstrates the potential impact of an important reference index on quantifying the effect of maintenance in healthy people.

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