scholarly journals Hazard Identification and Risk Assessment in Generator Manufacturing Unit

2021 ◽  
pp. 182-186
Author(s):  
Aditya Tiwary ◽  
Saurabh Deshmukh
Keyword(s):  
Risk Assessment ◽  
Risk Analysis ◽  
Qualitative Methods ◽  
Rotor Blade ◽  
Quantitative Methods ◽  
Hazard Identification ◽  
Turbine Generator ◽  
Event Sequences ◽  
Wind Turbine Generator ◽  
Tolerable Level

In industrial arena, if any industry to be successful, it has to be safe, reliable, and sustainable in its operations. The industry has to identify the hazards and assess the associated risks and to bring the risks to tolerable level. The objective of this paper is to obtain hazards and risk analysis, the event sequences leading to hazards and the risk associated with hazardous events. Many techniques ranging from the simple qualitative methods to the advanced quantitative methods are available to help identify and analyze hazards. Wind Turbine Generator Rotor Blade Manufacturing unit hazards and risk analysis has been done.

scholarly journals An Innovative Methodology for Wind Turbine Generator Rotor Blade Manufacturing Hazard Identification and Risk Assessment

2021 ◽  
pp. 216-222
Author(s):  
Aditya Tiwary ◽  
Saurabh Deshmukh
Keyword(s):  
Risk Assessment ◽  
Risk Analysis ◽  
Wind Turbine ◽  
Rotor Blade ◽  
Quantitative Methods ◽  
Hazard Identification ◽  
Turbine Generator ◽  
Wind Turbine Generator ◽  
Generator Rotor ◽  
Innovative Methodology

Hazard analysis uncovers and identifies hazards that exist in the workplace, generally focusing on a particular activity, project, or system. It develops a means to – communicate, track, quantify, allocate mitigation measures, verify effectiveness. The objective of this paper is to obtain hazards and risk analysis, the event sequences leading to hazards and the risk associated with hazardous events. Many techniques ranging from the simple qualitative methods to the advanced quantitative methods are available to help identify and analyze hazards. An innovative methodology is presented here to obtain the hazards and risk analysis in Wind Turbine Generator Rotor Blade Manufacturing unit for three different processes. The three different process on which Hazard Identification and Risk Assessment has been done are MPRP/Resin & Hardner mixing Process, MPRP/Kitting Process and Prefab/MG O & X Process.

General Approach to Risk Analysis

2014 ◽  
pp. 1-22
Author(s):  
Davorin Matanovic
Keyword(s):  
Risk Management ◽  
Risk Analysis ◽  
Qualitative Methods ◽  
Iterative Process ◽  
Quantitative Methods ◽  
Hybrid Methods ◽  
Petroleum Industry ◽  
Acceptance Criteria ◽  
Risk Acceptance ◽  
The Impact

Broadly accepted methodology that is implemented in the oil industry when dealing with risks includes as the first step the identification of possible hazards. That is done by gathering information about degree of risk according to working procedures, processes, and individuals involved in the operation of the process. That is the first step in risk management, an iterative process that must lead to the use of proper measurements in the way of protecting people, facilities and environment. The analysis is done based on the combination of probability and severity of undesirable events, and the final consequences. Explanation of basic terms, their interdependence, dilemmas, and methods of risk analysis are introduced. Each method is shortly described with main anteriority and shortcomings. Differences between quantitative methods, qualitative methods, and hybrid methods (the combination of qualitative-quantitative or semi-quantitative methods) are elaborated. The impact, occurrence, and the consequences are at the end compared to risk acceptance criteria concept. The ALARP (As Low as Reasonably Practicable) framework is explained with some observation on the quality and acceptance in petroleum industry. Finally, the human impact on the risk and consequences is analyzed.

General Approach to Risk Analysis

2015 ◽  
pp. 1217-1236
Author(s):  
Davorin Matanovic
Keyword(s):  
Risk Management ◽  
Risk Analysis ◽  
Qualitative Methods ◽  
Iterative Process ◽  
Quantitative Methods ◽  
Hybrid Methods ◽  
Petroleum Industry ◽  
Acceptance Criteria ◽  
Risk Acceptance ◽  
The Impact

Broadly accepted methodology that is implemented in the oil industry when dealing with risks includes as the first step the identification of possible hazards. That is done by gathering information about degree of risk according to working procedures, processes, and individuals involved in the operation of the process. That is the first step in risk management, an iterative process that must lead to the use of proper measurements in the way of protecting people, facilities and environment. The analysis is done based on the combination of probability and severity of undesirable events, and the final consequences. Explanation of basic terms, their interdependence, dilemmas, and methods of risk analysis are introduced. Each method is shortly described with main anteriority and shortcomings. Differences between quantitative methods, qualitative methods, and hybrid methods (the combination of qualitative-quantitative or semi-quantitative methods) are elaborated. The impact, occurrence, and the consequences are at the end compared to risk acceptance criteria concept. The ALARP (As Low as Reasonably Practicable) framework is explained with some observation on the quality and acceptance in petroleum industry. Finally, the human impact on the risk and consequences is analyzed.

scholarly journals Methods of qualitative and quantitative risk analysis

2020 ◽  
pp. 64-72
Author(s):  
K. Shurda
Keyword(s):  
Risk Assessment ◽  
Risk Analysis ◽  
Quantitative Methods ◽  
Theory And Practice ◽  
Main Task ◽  
Important Place ◽  
Acceptable Risks ◽  
Risk Areas ◽  
System Of Parameters ◽  
Level Of Risk

The article clarifies the current issues of the existing methodology for assessing the risks that arise in the management process. This is dictated by the need to analyze and assess the risk for further optimal management of economic activity, given that risk is an integral part of any process. It is emphasized that the risk assessment is to compare the level of risk with the level of acceptability, and the basis for the assignment to the group of acceptable risks is a system of parameters, different for each specific risk. Riskassessment is performed to determine the probability and size of losses that characterize the magnitude (or degree) of risk, and is carried out by various methods, which can be combined into two groups: qualitative methods of risk analysis and quantitative methods. Risk assessment is an assessment of probability, point or integral, statistical or expert. In this case, risk management is limited by the probability of adverse events. It is established that the main task of qualitative analysis is to identify possible types of risk, potential risk areas and factors influencing the level of risk. In market conditions, the problem of risk analysis and assessment is becoming increasingly important as an important component of management theory and practice. Thus, the need for research on this issue is not only relevant, but also significantly increases during the period of dynamic changes in the economic and social development of Ukraine. In this regard, the study and analysis of risks occupies an important place in the economy, as well as in ecology and other areas of human activity.

scholarly journals Using Fuzzy Logic to Increase the Accuracy of E-Commerce Risk Assessment Based on an Expert System

2017 ◽  
Vol 7 (6) ◽  
pp. 2205-2209
Author(s):  
H. Beheshti ◽  
M. Alborzi
Keyword(s):  
Risk Assessment ◽  
Fuzzy Logic ◽  
Qualitative Methods ◽  
Set Theory ◽  
Quantitative Methods ◽  
Boolean Logic ◽  
Fuzzy Mathematics ◽  
Inaccurate Data ◽  
Fuzzy Expert Systems

Strong adaptive control can be exercised even without access to accurate data inputs. Such control is possible through fuzzy mathematics, which is a meta-collection of Boolean logic principles that imply relative accuracy. Fuzzy mathematics find applications in e-commerce, where different risk analysis methods are available for risk assessment and estimation. Such approaches can be quantitative or qualitative, depending on the type of examined data. Quantitative methods are grounded in statistics, whereas qualitative methods are based on expert judgments and fuzzy set theory. Given that qualitative methods are very subjective and deal with vague or inaccurate data, fuzzy logic can be used to extract useful information from data inaccuracies. In this study, a model based on the opinions of e-commerce security experts was designed and implemented by using fuzzy expert systems and MATLAB. A case study was conducted to validate the effectiveness of the Model.

Improving the Use of Epidemiologic Data in Health Risk Assessment

1985 ◽  
Vol 1 (4) ◽  
pp. 65-91 ◽  
Author(s):  
Linda S. Erdreich ◽  
Carol Burnett
Keyword(s):  
Risk Assessment ◽  
Risk Analysis ◽  
Health Risk ◽  
Health Risk Assessment ◽  
Statistical Power ◽  
Response Assessment ◽  
Epidemiologic Studies ◽  
Hazard Identification ◽  
Ordinal Scale ◽  
Epidemiologic Data

Epidemiologic data with quantitative exposure measures is infrequently available for specific environmental agents. This lack of exposure measures creates confusion in interpreting epidemiologic data and therefore has impeded its efficient use in health risk analysis. This paper discusses screening and evaluating epidemiologic studies for use in assessing health risk. It also describes the larger role of epidemiology in reducing uncertainties in risk analysis. The approach recognizes that the various designs used to increase statistical power and to control for covariables have different functions in contemporary risk assessment as practiced by regulatory agencies. Each of these study designs is categorized for its role in risk analysis as useful for hazard identification or for dose-response assessment. Studies presenting geographic correlations are construed to be not directly useful in health risk assessment. The numerical level of the exposure data is a deciding factor in using valid epidemiologic studies. However, data measured on an ordinal scale can be used in qualitative assessments and can demonstrate the strength of the relationship. The application of this procedure is illustrated using epidemiologic studies on the carcinogenicity of chemicals contaminated with dioxins.

scholarly journals Analyzing occupational risks of pharmaceutical industry under uncertainty using a Bow-Tie analysis

2019 ◽  
Vol 9 (2) ◽  
pp. 113-124
Author(s):  
Sukran Seker
Keyword(s):  
Risk Assessment ◽  
Pharmaceutical Industry ◽  
Risk Analysis ◽  
Hazard Identification ◽  
Control Measures ◽  
Event Tree ◽  
Event Tree Analysis ◽  
Tree Analysis ◽  
Work Units ◽  
Bow Tie

Risk analysis is a systematic and widespread methodology to analyze and evaluate risks which are exposed in many working areas. One of the Quantitative Risk Analysis (QRA) methods for risk assessment is Bow-Tie analysis which combines features of fault-tree analysis and event-tree analysis to identify the top event; its causes and consequences (outcomes); and possible preventive and protective control measures or barriers. This study proposes an occupational risk assessment approach, which is known as Fuzzy Bow-Tie analysis, for pharmaceutical industry processes and work units. The aim is to evaluate critical risks and risky pharmaceutical work units and take safety precautions against accidents which caused by risky conditions. Thus, this methodology combines the concept of uncertainty which comes from different (Decision Maker) DM’s evaluations and the whole performance of the Bow-Tie analysis for hazard identification and risk assessment.  To apply and validate the proposed method, a case study is performed for pharmaceutical industry processes and work units. Based on the computed risk score, which is calculated by multiplying probability ranking and impact ranking of criterion, the risks are prioritized and some measures are suggested for management to prevent accidents occur in the industry.

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