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Journal of Cleaner Production
10 February 2018
, Pages 296-304
Author links open overlay panelTongyuanLuoaPersonEnvelopeChaoWuaLixiangDuanb
Gas spherical tank leak can cause a serious fire and explosion accident, resulting in huge economic losses and posing a huge threat to social security. By combining improved fishbone diagram and risk matrix model, we studied a comprehensive risk assessment method. Quantitatively calculate the probability of occurrence: Firstly, we established a fishbone diagram model to analyze the causes of all spherical tank leakage events. Then the experts would rank causes of the incident in language description, next we assigned weights to these experts’ competencies by Entropy–Analytic Hierarchy Process, so we could turn the language description into fuzzy probability value using fuzzy mathematic theory. Finally, we calculated the occurrence probability of the Resultant events by Fault tree model. Quantitatively calculate the probability of consequence: From casualties, economic losses and environmental damage to consider the total loss caused by the leak accident, and combining with the probability of occurrence to calculate the consequences losses quantitatively. After modifying classical risk matrix, we analyzed the spherical tank leak level with considering occurrence probability and sequence severity. At the same time, we proposed specific measures for reason accidents which have greater occurrence probability to eliminate or reduce the risk of consequences.
As the clean energy becomes more and more popular with people, natural gas and its accessories get used more frequently and there is also hidden risk. Inflammability and explosion hazard are the two of the most dangerous properties. Methane is inflammable and explosive gas which is the main composition of the natural gas. Spherical tanks play an important role in the natural gas industry at present. Three ways are recommended for the storage of natural gas: gaseous state storage under pressurized (20.7–24.8Mpa) state, atmospheric cooling (−162°C) in the form of liquid storage and storage in the form of solid hydrate (Ge, 2003). The former two forms of natural gas are called Compressed Natural Gas (CNG) and Liquefied Natural Gas (LNG). The common storage forms in China are gas and liquid while the natural gas is stored in the form of gas in the spherical tanks. With the extension of storage tank running time, the continuous evaporation of gas from the tank will increase the pressure on the tank. The spherical design requires not only a certain bearing capacity, but also a good thermal insulation performance (Xiaoming Li etal., 2011).
The research object of this paper is the spherical tanks with natural gas in gas forms in it, which has a great danger of explosion and leakage. Once there is a leak in the filling and transit operation, a fire and explosion accident is hard to avoid. Therefore, the safety management of natural gas spherical gasholder should be strengthened to prevent fire and explosion accident. It is of vital importance to improve safety and prolong safe service life to the storage of natural gas and the steady development of national economy. In recent years, natural gas spherical tank fire and explosion accidents have occurred, causing heavy casualties and economic losses. To maintain the risk of spherical tank at acceptable levels, comprehensive risk evaluation of the spherical tank is needed. Risk assessment is divided into qualitative and quantitative evaluation and both have advantages. In the process of quantitative evaluation of storage tank risk, Korkmaz (Korkmaz etal., 2011) made a seismic risk performance evaluation. By establishing the model of the solid and concentrated mass spring system and the seismic response data of the tank structure were obtained, then he got the probability value of seismic risk of storage tank under the historical data and vulnerability analysis. Lei Shi (Shi etal., 2014) made a fault tree analysis of fire and explosion accident of oil and gas storage tank by using improved analytic hierarchy process and fuzzy set theory, established a fuzzy fault tree and quantitatively calculated the probability of fire and explosion accident of the tank, and basic events are sorted by importance. To realistically predict the transient pressure change of LNG storage tanks, Yeelyong Noh and Yutaek Seo (Noh etal., 2014) realized the design of storage tank pressure based on risk information while using the Monte Carlo method in the simulation of dynamic process. They overcome the difficulty that it was hard to obtain the accurate pressure prediction data due to the simulation process is affected by random factors. Hans J. Pasman and William J. Rogers (Pasman and Rogers, 2012) used Bayesian network model for quantitative risk analysis, established a cost benefit comparison support decision system, and made risk assessment and comparison compression and liquefaction processes of natural gas. Daqing Wang (Wang etal., 2013) combined fuzzy set with fault tree and did quantitative assessment of the risk of fire and explosion in oil tank. We can determine the most vulnerable factors that cause the tank fire and explosion by quantitative calculation and then put forward control measures to reduce the risk of storage tank accidents and improve operational efficiency. Eui Soo Kim and Seung-Kyum Choi (Kim and Choi, 2013) studied the tissue fracture metallography and material properties on CNG tank failure. The main causes of failure of CNG tank are obtained by finite element analysis. And they put forward the corresponding prevention and control measure. Martins, MR and Schleder, AM (Martins etal., 2014) proposed a six iterative risk analysis method based on the hybrid Bayesian network used in LNG tanks which used Bayesian networks and storage tank history data calculating the probability value through continuous variable modeling. This method was very useful for solving the existing data which was scarce or nonexistent in the probability of the risk event. Guo (Guo etal., 2015) used TNT equivalent method to calculate the shock wave overpressure of the vapor cloud explosion of natural gas storage tanks. He used the human vulnerability model to calculate the probability of death, got the personal risk model of natural gas storage tank and determined the safe distance, providing scientific basis for the formulation of safety planning and protection measures. Yan Jia-wei and Song Wen-hua (Yan etal., 2011) introduced the basic situation of a gas station and made quantitative risk assessment of spherical tanks in the station by Dow Chemical Index Evaluation Method. There were security measures for storage tank safety to reduce the loss of the accident effectively. For operation manager, it was a reference of a more comprehensive understanding of the whole tank risk status. It was conducive to the planning, management and accident prevention of natural gas storage tank area. D. Yao (2014) used the Norway classification society SFETI software for the accident simulation of a liquefied natural gas storage tank. The leakage and diffusion, pool fire and explosion models were used to simulate the model. It was concluded that the damage range and influence area of different accidents can provide a theoretical basis for the accident rescue and disaster prevention and reduction.
There is no comprehensive integration of qualitative and quantitative risks, and the research method is relatively traditional and one-sided. The traditional risk matrix (RM) is measured from the occurrence probability and severity and the roughness of the RM also results in poor operational performance. The established risk grade of low middle and high cannot meet the fine identification and management of so many risk factors of the natural gas spherical tank. Fishbone diagram (FD) analysis can make complex system organized, analyzing the causes of risk qualitatively. But it cannot realize the quantitative evaluation of risk. Fault tree analysis itself has the problem that the basic event probability is difficult to quantify accurately, and the result is not accurate. Therefore, we can consider integrating the FD, fuzzy mathematics and improved RM making up for the lack of the three and realizing comprehensive quantitative risk assessment. This is not only to achieve quantification of fishbone deep causes and risk of consequences, the probability of accident tree and refinement of RM, but also to reduce the subjective influence and to improve the accuracy of risk assessment.
The technology roadmap
A combination method of quantitative risk assessment of FD and RM will be proposed in order to carry out the quantitative risk assessment of natural gas spherical tank, realize the quantitative conclusion fishbone model and reduce subjectivity as much as possible. The quantitative evaluation includes probability sorting of basic events resulting in tank leakage fire and explosion and severity of accident occurrence. At the same time, the risk level of spherical tank is given according to RM.
Application of FD
The risk factors of natural gas spherical tank are different from the buried pipeline or gas storage. The spherical tank is exposed to the outside and stand the test of the natural environment. High temperature environment is especially one of the very unfavorable factors. This part will discuss the case of fire and explosion accident of natural gas processing plant 102# tank in Jilin of Jilin province. The tank is put into use only two years with a volume of 400 cubic meters. Main material
In summary, the failure probability of tank leakage level of result event is the high level. Therefore, the risk rating in probability of leakage in 7×7 RM is 5, indicating the high rate of the tank leak. The leak consequence grade is rated as F showing that the leakage effect is very high. Combined with the RM can judge the risk level of spherical tank leak for grade VI and comprehensive risk assessment for high risk. So we must take immediate remedial measures to reduce or eliminate the
Risk assessment plays a very important role in the safety management of storage tanks. Leakage of gas tank may lead to catastrophic accidents and huge economic losses. Therefore, the comprehensive risk evaluation method can help to identify and reduce the risk source and risk reduction tank level. In view of this, this paper studies the establishment of a comprehensive risk assessment system to define the risk level of spherical tank. The combination method of the RM, FD and fault tree method
I thank two anonymous reviewers for critically reading the manuscript and helpful discussions. This research was supported by grants from the National Natural Science Foundation of China (grant nos. 51534008).
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- Semi-quantitative risk analysis of high concrete face rockfill dams under seismic action
A dam failures cause immeasurable losses, but more concrete face rockfill dams (CFRDs) are being built in areas where earthquakes occur frequently. If the risk level of CFRDs under seismic action can be identified promptly and corresponding measures taken in advance, dam failure risks can be mitigated to protect life and property. However, no study has been conducted on the seismic risk analysis of CFRDs. This study aimed to meet public security needs; hence, the risk matrix approach was used for analyzing the semi-quantitative risk of CFRDs under seismic action. Considering the seismic failure modes of dam deformation and dam slope instability, we also proposed a calculation technique of seismic failure possibility for high CFRDs. According to the worst-case scenario, the linear weighted sum method was used to assess the comprehensive seismic risk loss of CFRDs in terms of life loss,and economic loss, and socio-environmental impact. The risk levels of CFRDs under seismic action were accurately evaluated, and corresponding risk management measures were proposed according to the “As Low As Reasonably Practicable” principle. The results of this work fill the gap in the risk analysis of CFRDs under seismic action. Additionally, the results provide a theoretical basis and technical support for future seismic designs, seismic risk assessments, and risk decision-making for high CFRDs and similar projects in strong seismic areas.
- Evaluating operational risk for train control system using a revised risk matrix and FD-FAHP-Cloud model: A case in China
2022, Engineering Failure Analysis
An accident caused by train control system may not only bring expensive loss, but also result in severe destruction to surrounding environment. The purpose of this study is to study operational risk of Chinese Train Control System- Level 3 (CTCS-3). An integrated risk assessment method is developed by combining fishbone diagram (FD), Fuzzy Analytic Hierarchy Process (FAHP) with cloud model. Based on fishbone diagram, risk factors (RFs) of train control system are identified from two perspectives of hazard event, namely occurrence frequency and sequence severity. To further classify RFs quantitatively, a revised risk matrix based on FAHP is introduced to calculate the consequence and likelihood weights for each risk factor (RF), and then Risk Index (RI) is getting by making product of consequence and likelihood weights, which reflects relative influence degree on operational risk. Finally, in order to assess the comprehensive operational risk of CTCS, cloud model is used to logically calculate quantitative results, and the CTCS-3 in Wuhan-Guangzhou high-speed railway is empirically investigated to analyze its overall operational risk level. The result shows that its risk level is between medium and low, and more inclined to low, which means being acceptable but not ideal. Meanwhile, some specific suggestions and measures are proposed to eliminate or reduce RFs with higher frequency and worse consequence.
- Risk assessment of buried gas pipelines based on improved cloud-variable weight theory
2022, Reliability Engineering and System Safety
Various risk factors of urban gas pipelines will lead to leakage, significantly impacting the environment, assets, and life safety, thus making pipeline risk prevention and control crucial. However, existing methods cannot sufficiently model the uncertainty in the pipeline risk evaluation process. In addition, the calculation method of factor weights may lead to unrealistic results. In this study, variable weight theory and cloud theory are introduced. Then, a novel method of cloud-variable weight function is proposed to analyze the pipeline's risk level and critical risk factors by establishing a pipeline risk assessment index system. The proposed method fully considers the uncertainty in the evaluation process, resolves the contradiction of existing methods to model the fuzzy concepts accurately, optimizes the weight distribution, and obtains a more scientific and reasonable assessment result. A case study is conducted on a pipeline in Beijing City. The results illustrate that the proposed method is beneficial for helping pipeline operators determine the pipeline risk status and weak links in the pipeline system, thereby providing a basis for risk control and rehabilitation.
- A data centered human factor analysis approach for hazardous cargo accidents in a port environment
2022, Journal of Loss Prevention in the Process Industries
Recently, hazardous cargo accidents such as those at Beirut and Tianjin ports have raised serious concerns over how high-risk cargoes should be handled. While the role of human error in such accidents is widely known, knowledge of how the related factors interact is less developed. To that end, the present study analyzed 352 hazardous cargo accidents occurring at ports between 1960 and 2018. A novel research framework, the Human Factors Analysis and Classification System for Port Environment Hazardous Cargo Accidents (HFACS-PEHCA) was developed for the analysis. The findings revealed that violations, limited intellect, inappropriate supervision, and an inadequate safety culture were the most prominent factors involved in hazardous cargo accidents. Correlations between these factors were established and the probabilities of five accident causation paths were calculated. The most likely way for a hazardous cargo accident to occur was via the path “Deficient safety culture → Inappropriate supervision → Limited Intellect → Violations.” The study draws on these insights to propose safety procedures to mitigate the risk of accidents at ports dealing with hazardous cargo.
- Safety assessment method for storage tank farm based on the combination of structure entropy weight method and cloud model
2022, Journal of Loss Prevention in the Process Industries
This paper presents a tank farm safety assessment method based on the structure entropy weight method and cloud model. This method considers the natural fuzziness of safety and fluctuation in the safety level, which can not only provide the assessment index weights combined subjectively and objectively but also consider the fuzziness of the safety level boundary. Finally, this method can be used to obtain a scientific safety level to prevent accidents. In addition, taking the tank farms of four petroleum and petrochemical companies as examples, this safety assessment method is verified to be an effective tool for safety management.
- Safety evaluation of leak in a storage tank using fault tree analysis and risk matrix analysis
2021, Journal of Loss Prevention in the Process Industries
The work presented in this paper used a quantitative analysis of relevant risks through the development of fault tree analysis and risk analysis methods to aid real time risk prediction and safety evaluation of leak in a storage tank. Criticality of risk elements and their attributes can be used with real time data to predict potential failures likely to occur. As an example, a risk matrix was used to rank risk of events that could lead to a leak in a storage tank and to make decisions on risks to be allowed based on past statistical data. An intelligent system that recognizes increasing level(s) and draws awareness to the possibility of additional increase before unsafe levels are attained was used to analyse and make critical decisions. After a visual depiction of relationships between hazards and controls had been actualized, dynamic risk modelling was used to quantify the effect controls can potentially have on hazards by applying historical and real-time data into a probabilistic model. The output of a dynamic risk model is near real-time quantitative predictions of risk likelihood. Results from the risk matrix analysis method mixed with RTD and FTA were analyzed, evaluated, and compared.
Research articleGeneralized three phase robust load-flow for radial and meshed power systems with and without uncertainty in energy resources using dynamic radial basis functions neural networks
Journal of Cleaner Production, Volume 174, 2018, pp. 96-113
This paper presents a new approach for robust load-flow in radial and meshed electric power systems. In the presented method, with an acceptable level of accuracy, and even exact, the ability of radial basis function (RBF) artificial neural networks (ANNs) for nonlinear mapping is exploited to solve nonlinear equation set of load flow analysis that can be applied to a wide range of nonlinear equation sets. Unlike Newton Raphson (NR) method, the proposed method does not need to calculate partial derivatives and inverse Jacobian matrix and so has less computation time. Moreover, it is suitable for the radial and ill-conditioned networks that have higher values of R/X ratio. The method includes all types of buses, i.e. PQ, PV and Slack buses. The proposed method is a general method which is applicable to all types of power system networks, including radial, meshed, and open-loop. The proposed method is applied to different power and distribution test systems and compared with the other load-flow methods and the results validate its authenticity, robustness, efficiency and accuracy.
Research articlePricing the permission of pollution: Optimal control-based simulation of payments for the initial emission allowance in China
Journal of Cleaner Production, Volume 174, 2018, pp. 139-149
China has modified its pollution control policy system with such price tools as the pollution charge (PC) policy and the payment for initial emission allowance (PIEA) policy. The aim of PC policy is to compensate for the environment damage caused by pollutants, while PIEA is in charge of the initial emission allowance (IEA) within the emission trading system (ETS). However, since the implementation of PIEA, it has been criticized as redundant because of the similar pricing scheme with the PC. In addition, the existing PIEA pricing approaches have ignored interactions with other policies, such as PC and total emission control (TEC) policies. In this research, we established an optimal control-based model with chemical oxygen demand (COD) and ammoniacal nitrogen (NH3-N), two independent pollutants variables, to simulate the water pollutants' PIEA price. Simulation results indicated that emission quantity and optimal social benefit in the PC–PIEA combination scenario was equal to the situation in the PIEA scenario. Under this design, PC compensated for the emission damage, and PIEA paid for the scarcity rent, while PIEA does not duplicate the PC policy. In addition, the PIEA policy has a complex effect on pollutant emission. Because PIEA policy increases the enterprises' discharging cost, most regions' COD emissions are less than the baseline, excepting Beijing, Shanghai, Jiangsu, Zhejiang, Fujian, Shandong, and Guangdong, in which emission quantities are greater than the baseline. The NH3-N emission shows an opposite trend. The simulation result is that excluding Inner Mongolia, Hubei, Hunan, Tibet, Gansu, Qinghai, Ningxia, and Xinjiang, the NH3-N emissions in the rest of regions are increased. TEC policy has a significant effect on pollutant emissions and the PIEA price. The COD emission quantity with TEC is lower than that without the TEC policy, therefore, the TEC policy will be effective for pollutant emission control. The pollutant beyond the restricted target will be charged a payment for IEA at a higher price than without the TEC policy.
Research articlePrinciples of minimal wrecking and maximum separation of solid waste to innovate tanning industries and reduce their environmental impact: The case of paperboard manufacture
Journal of Cleaner Production, Volume 174, 2018, pp. 324-332
Solid leather waste can be considered as a composite material highly structured whose organization is intimately connected with the collagen fibers. Any process aimed at destroying such structure is economically and energetically disadvantageous. A more cost-effective approach therefore would be to reuse the solid leather waste avoiding the wrecking stage: Principle of Minimal Wrecking. The maximum efficiency of the method can be achieved if waste separation is so subtle that each waste becomes a homogeneous system, ie raw material for a new production: Principle of Maximum Separation. These general principles have been applied to handle to solid leather waste from a bovine leather industry manufacturing soles and uppers where the separation process has been refined up to post-tanning dyeing stage. The collagen fibers of leather waste were classified on the basis of length and their compatibility with cellulose was morphologically monitored via electronic microscopy and quantitatively analyzed via physical tests. The degree of compatibility was such that no chemical pretreatment of the material was required. Thereby several ternary systems consisting of mixed newspapers, newspapers and leather waste of long fibers at different composition, were prepared for simple mixing. For each formulation a paperboard type was manufactured whose mechanical performance was tested according to ISO recommendations. The system of composition 70% mixed newspapers, 15% newspapers and 15% leather waste with long collagen fibers, exhibited the best performances and the paperboard quality was comparable to one of boxes and packaging commercially used. In addition, release tests proved the complete absence of Cr(VI) in the material. Transforming solid leather waste into new raw material increases the life cycle of the material and drastically reduces its environmental impact.
Research articleEvaluating green development level of nine cities within the Pearl River Delta, China
Journal of Cleaner Production, Volume 174, 2018, pp. 315-323
Due to the uncertainties resulted from environmental changes, the importance of green development has been paid increasingly attention in the world. However, our knowledge of the green development level of nine cities in the Pearl River Delta (PRD), China, was still limited. Therefore, this study, based on the analysis on the connotation of green development, employed multi-level evaluation method and entropy method to develop the urban green development evaluation index system from five aspects, including enhancement of living environment, treatment and utilization of pollutant, improvement of ecological efficiency, optimization of economic growth and development of innovative potential. This evaluation index system was further applied to evaluate the green development level of nine cities within PRD. Results showed that significant difference in green development level occurred among cities within PRD. Green development level in Shenzhen, Zhuhai, Guangzhou was relatively higher than that in other cities, with the advantages in improvement of ecological efficiency and optimization of economic growth. Green development level in Zhongshan, Dongguan, Huizhou, Foshan averaged in PRD, while Jiangmen and Zhaoqing had a delayed green development level because of their irrational economic structures and extensive growth patterns though these two cities possessed good ecological environment endowments. In the future, it is necessary for PRD to formulate specific and targeted policies and measures to further upgrade energy structure, transform industrial structure, improve public transportation, enhance forestry carbon sink, and eventually construct low-carbon circular industrial system and development pattern.
Research articleSeismic analysis of older and contemporary reinforced concrete frames with the improved fish-bone model
Engineering Structures, Volume 212, 2020, Article 110514
The improved fish-bone (IFB) model for seismic analysis of older and contemporary reinforced concrete frames is proposed by introducing a new procedure for the estimation of parameters of structural elements of the fish-bone model. The procedure makes it possible to approximately account for the importance of structural elements on the seismic response of a frame building and the effect of potential redistribution of demands between structural elements of the frame building. Firstly, the IFB model is described. Follows demonstration of its capability by simulating the response history of storey shears, storey drifts and storey accelerations of selected pseudo-dynamically tested frames. Finally, it is shown that the IFB models can provide pushover curves, the corresponding damage states and fragility functions based on response history analysis which are very similar to those obtained by the conventional multi-degree-of-freedom models. The capability of the IFB model with respect to conventional fish-bone model is also demonstrated by the pushover analysis. It can be observed that the IFB model significantly improves the simulation of the older reinforced concrete frames, which do not fulfil the strong column – weak beam concept, and the frames for which the columns or beams of one storey of a frame building differ significantly from each other. Additional research is needed to extend the capabilities of simplified structural models to plan irregular frame building.
Research articleRisk-based group decision making regarding renewable energy schemes using a stochastic graphical matrix model
Automation in Construction, Volume 37, 2014, pp. 98-109
Improvements to sustainability are generally measurable based on their environmental, economic, and socio-cultural effects. This study applied this concept by developing and empirically testing a risk-based method for assessing renewable energy policy. An integrated theoretical framework is proposed for analyzing group decision-making regarding renewable energy (RE) policy selection. The proposed graphical matrix approach combined with Monte Carlo simulation compares alternative RE schemes by identifying and measuring critical performance indicators with acceptable reliability. The mathematical model reliably prioritizes alternatives using majority voting to address uncertainty in multi-criteria decision making process. A case study using historical data from previous RE development projects to confirm the feasibility of this approach. Compared to the conventional deterministic method, the stochastic graphical matrix approach provides more reliable estimation accuracy, decision quality, and efficiency in selection of sustainable renewable energy. The systematic approach provides policy makers information for use in evaluation by synthesizing the judgments of a panel of experts.
© 2017 Elsevier Ltd. All rights reserved.
The purpose of the Fishbone diagram in Risk Management is to identify various root causes of a potential problem for a project or program. It does so by having the user brainstorm over various causes for the problem and continuously going to deeper levels by finding the cause of the previous cause.What is fishbone risk analysis? ›
A cause and effect diagram, often called a “fishbone” diagram, can help in brainstorming to identify possible causes of a problem and in sorting ideas into useful categories. A fishbone diagram is a visual way to look at cause and effect.What is fishbone diagram 7 QC tools? ›
Cause-and-effect diagram (also known as a fishbone or Ishikawa diagram) Introduced by Kaoru Ishikawa, the fishbone diagram helps users identify the various factors (or causes) leading to an effect, usually depicted as a problem to be solved.What is a fishbone diagram in project management? ›
The fishbone diagram identifies many possible causes for an effect or problem. It can be used to structure a brainstorming session. It immediately sorts ideas into useful categories. It is also a decomposition technique that helps trace an undesirable effect back to its root cause.What is the main purpose of using a cause and effect diagram? ›
A Cause-and-Effect Diagram is a tool that helps identify, sort, and display possible causes of a specific problem or quality characteristic (Viewgraph 1). It graphically illustrates the relationship between a given outcome and all the factors that influence the outcome.What are the categories of a fishbone diagram? ›
Most of the time, manufacturing teams will use these six categories in their Fishbone Diagrams: Machine, Methods, Measurements, Materials, Manpower, and Environment.What are the 5 Whys fishbone? ›
The 5 Whys and fishbone diagrams can be used on their own or as a follow-up to techniques like the “last 10 patients” chart audit or fall-out analysis. The 5 Whys involves asking and answering the question "Why?" five times or as many times as it takes to get to the "root cause" or end of the causal chain.Which step of problem-solving process involves fishbone analysis? ›
Fishbone diagrams are considered one of seven basic quality tools and are used in the "analyze" phase of Six Sigma's DMAIC (define, measure, analyze, improve, control) approach to problem-solving.Why are 7 quality tools used for? ›
7 QC tools are a set of graphical data representation and problem-solving techniques. These seven basic quality tools are integral to any process improvement methodology, including Six Sigma, total quality management (TQM), etc. They help in troubleshooting a variety of quality-related issues.What are the 7 quality control tools and discuss it briefly? ›
These seven basic quality control tools, which introduced by Dr. Ishikawa, are : 1) Check sheets; 2) Graphs (Trend Analysis); 3) Histograms; 4) Pareto charts; 5) Cause-and-effect diagrams; 6) Scatter diagrams; 7) Control charts.
A fishbone diagram helps team members visually diagram a problem or condition's root causes, allowing them to truly diagnose the problem rather than focusing on symptoms. It allows team members to separate a problem's content from its history, and allows for team consensus around the problem and its causes.What are the advantages of using a fishbone diagram? ›
The Fishbone diagram helps recognize the cause-and-effect relationship between problems and processes. Fishbone diagrams integrate brainstorming into the problem-solving process. Increased brainstorming boosts creative thinking. Fishbone diagrams open up new channels outside of restrictive thought patterns.What are the most common types of risk that can impact projects? ›
- Cost Risk.
- Schedule Risk.
- Performance Risk.
- Operational Risk.
- Market Risk.
- Governance Risk.
- Strategic Risk.
- Legal Risk.
There are several quality control tools in Six Sigma, one of them being the fishbone diagram. It is mainly used in root cause analysis, particularly in the Analyze phase of the DMAIC methodology.What comes after fishbone diagram? ›
Cause and Effect Diagram Example
Once all the ideas have been added to the fishbone diagram, the next step is to discuss the ideas and clarify any ideas that are not clearly understood.
A tool used to solve quality problems by brainstorming causes and logically organizing them by branches. Also called the cause-and-effect diagram and Ishikawa diagram.
Risk analysis is the process of identifying and analyzing potential issues that could negatively impact key business initiatives or projects. This process is done in order to help organizations avoid or mitigate those risks.What is root cause analysis? ›
Root cause analysis (RCA) is the process of discovering the root causes of problems in order to identify appropriate solutions. RCA assumes that it is much more effective to systematically prevent and solve for underlying issues rather than just treating ad hoc symptoms and putting out fires.Is risk a assessment? ›
A risk assessment is the process of identifying what hazards currently exist or may appear in the workplace. A risk assessment defines which workplace hazards are likely to cause harm to employees and visitors.