Failure mode and effect analysis(FMEA)is a preven-tative risk evaluation method used to evaluate and eliminate fail-ure modes within a system.However,the traditional FMEA method exhibits many deficiencies that pose ch...Failure mode and effect analysis(FMEA)is a preven-tative risk evaluation method used to evaluate and eliminate fail-ure modes within a system.However,the traditional FMEA method exhibits many deficiencies that pose challenges in prac-tical applications.To improve the conventional FMEA,many modified FMEA models have been suggested.However,the majority of them inadequately address consensus issues and focus on achieving a complete ranking of failure modes.In this research,we propose a new FMEA approach that integrates a two-stage consensus reaching model and a density peak clus-tering algorithm for the assessment and clustering of failure modes.Firstly,we employ the interval 2-tuple linguistic vari-ables(I2TLVs)to express the uncertain risk evaluations provided by FMEA experts.Then,a two-stage consensus reaching model is adopted to enable FMEA experts to reach a consensus.Next,failure modes are categorized into several risk clusters using a density peak clustering algorithm.Finally,the proposed FMEA is illustrated by a case study of load-bearing guidance devices of subway systems.The results show that the proposed FMEA model can more easily to describe the uncertain risk information of failure modes by using the I2TLVs;the introduction of an endogenous feedback mechanism and an exogenous feedback mechanism can accelerate the process of consensus reaching;and the density peak clustering of failure modes successfully improves the practical applicability of FMEA.展开更多
It is not objective to rate the decision-making factors in the traditional failure mode and effect analysis,so fuzzy semantic theory is used in this paper.Six fuzzy semantic scales and their corresponding semantics ar...It is not objective to rate the decision-making factors in the traditional failure mode and effect analysis,so fuzzy semantic theory is used in this paper.Six fuzzy semantic scales and their corresponding semantics are summarized,and a defuzzification method is studied to obtain the fuzzy value table of the six fuzzy semantic scales.For the conflicts between experts in the traditional failure mode and effects analysis,a conflict-resolution algorithm is studied to obtain the failure risk order.Finally,a certain type of industrial valve is used as an example to prove the validity of the theory proposed in this paper.展开更多
[Objectives]To investigate the effect of healthcare failure mode and effect analysis(HFMEA)on reducing error risk of neonatal parenteral nutrition solution dispensing.[Methods]A research team was established to identi...[Objectives]To investigate the effect of healthcare failure mode and effect analysis(HFMEA)on reducing error risk of neonatal parenteral nutrition solution dispensing.[Methods]A research team was established to identify the failure mode(FM)in each link of the formulation process of neonatal parenteral nutrition solution by HFMEA,quantify the severity(S),occurrence(O)and detection(D)of FM,and evaluate FM by risk priority number(RPN).For FM with the values of RPN>16,failure cause analysis was conducted,and corresponding improvement measures were formulated.The weight coefficient and random consistency ratio(CR)of deployment process were calculated in Matlab R2018a by compiling the Analytic Hierarchy Process(AHP)program.Six months after the implementation of improvement measures,the implementation effect was evaluated by comparing the changes of the values of RPN which was evaluated comprehensively and the rate of dispensing errors before and after the implementation of HFMEA.[Results]In the preparation process of neonatal parenteral nutrition solution,a total of 13 FMs with medium and above risk were found,the weight coefficient of medical order review,dosing and mixing was 0.2703,the weight coefficient of drug dispensing check and review was 0.1432,the weight coefficient of print label was 0.1015,the weight coefficient of distribution was 0.0716,and CR=0.0491<0.1.After six months of intervention,the total RPN value decreased by 64.81%from 127.8 to 45.0.The deployment error rates were significantly lower after the implementation,and the difference was statistically significant(P<0.05).[Conclusions]HFMEA can effectively reduce the error risk in preparation of neonatal parenteral nutrition solution,improve the quality of dispensing and promote the safety of neonatal medication.展开更多
Objective: the experiment will apply failure mode and effect analysis combined with PDCA cycle management to hepatobiliary surgery patients to jointly improve the nursing results of patients. Methods: the experiment s...Objective: the experiment will apply failure mode and effect analysis combined with PDCA cycle management to hepatobiliary surgery patients to jointly improve the nursing results of patients. Methods: the experiment selected the patients of hepatobiliary surgery as the object of this investigation. In terms of time period, we retrieved 120 patients who received corresponding treatment in our hospital from June 2019 to December 2020. They were divided into two groups by random number method. Patients in the control group were given routine nursing measures, while patients in the observation group were given failure mode and effect analysis combined with PDCA cycle management to compare the nursing results. Results: from the point of view of nursing quality, the incidence of nursing errors in the observation group was 1.7% and that in the control group was 6.7%, which was statistically significant (P < 0.05). At the same time, the satisfaction degree of the patients in the observation group was 98.3%, which was better than that of the control group (90.0%), and the difference was statistically significant (P < 0.05). Finally, the incidence of complications was 8.3% (5/60) in the observation group and 18.3% (11/60) in the control group, the difference was statistically significant (P < 0.05). Conclusion: the application of failure mode and effect analysis combined with PDCA circulation management mode has good effect on rehabilitation nursing of patients with hepatobiliary surgery diseases, can improve the overall quality of nursing work, and has promotional value.展开更多
A risk assessment method for marine configuration based on Fuzzy Probability Influence Diagram （FPID） and Failure Mode and Effect Analysis （FMEA） is established in this paper. Considering the fuzzy characteristic ...A risk assessment method for marine configuration based on Fuzzy Probability Influence Diagram （FPID） and Failure Mode and Effect Analysis （FMEA） is established in this paper. Considering the fuzzy characteristic of the two key inputs such as event happening probability and relation probability, the method induces fuzzy probability into the PID risk assessment for marine configuration, where defuzzification is performed using the centroid method to determine the risk at a given grade of a probabilistic item. FMEA as a traditional qualitative analysis method is used to determine the effect factor structure. An application of the presented method for the offshore jacket platform is implemented. The method can be widely applicable although only offshore platform is analyzed here.展开更多
The electric road system(ERS)is an emerging technology to support decarbonization of heavy goods vehicles.The reliability of the traction power supply system(TPSS)for an electric road is a key consideration in ERS pla...The electric road system(ERS)is an emerging technology to support decarbonization of heavy goods vehicles.The reliability of the traction power supply system(TPSS)for an electric road is a key consideration in ERS planning and maintenance,but since the development of ERS is still at its early stage,the reliability study of different ERS systems has not been fully researched.This paper fills this research gap.It first analyses the potential operation risks of three different ERS systems using the failure mode and effect analysis method.Then,a fault tree model is built to analyse the overall reliability of the traction power supply system of each of the three ERS types and to identify the weak links.Furthermore,the overall failure rate and reliability indicators are obtained by combining the possible failures of both the electric and non-electric components of the TPSS.Finally,based on the analysis of the potential risks and the corresponding reliability indicators,the advantages and disadvantages of different ERS solutions and the future development prospects are discussed.展开更多
The objective of this work was to enhance the product’s quality by concentrating on the machine’s optimized efficiency.In order to increase the machine’s reliability,the basis of reliability-centered maintenance ap...The objective of this work was to enhance the product’s quality by concentrating on the machine’s optimized efficiency.In order to increase the machine’s reliability,the basis of reliability-centered maintenance approach was utilized.The purpose was to establish a planned preventive maintenance strategy to identify the machine’s critical components having a noteworthy effect on the product’s quality.The critical components were prioritized using failure mode and effect analysis(FMEA).The goal of the study was to decrease the ppm time interval for a CNC machine by simulating the projected preventive maintenance time interval.For this purpose,the simulation software ProModel 7.5 was implemented for the current preventive maintenance procedure to choose the best ppm time interval which contributed better norms.Five dissimilar optimization approaches were applied,however,the first approach yielded the prominent total system cost and the shorter ppm interval.The results of the study revealed that there was an increase of USD 1878 as a result of an increase in total system cost from USD 78,365 to USD 80,243.Preventive maintenance costs were reduced from USD 4196 to USD 2248(46%).The costs associated with good parts increased from USD 8259 to USD 8294(0.4%)and the costs associated with defective parts reduced from USD 171 to USD 3(98.25%),respectively.展开更多
With the widespread application of liquefied petroleum gas (LPG),the safety of LPG cylinder has received more and more attention.For the safety of LPG cylinder,we conduct a safety risk assessment of cylinder using the...With the widespread application of liquefied petroleum gas (LPG),the safety of LPG cylinder has received more and more attention.For the safety of LPG cylinder,we conduct a safety risk assessment of cylinder using the failure mode and effect analysis (FMEA) method.Taking the most influential inflatable fatigue under normal conditions as the research object,we use FE-safe software to analyze the fatigue failure.The risk compliance coefficients of various failure modes are calculated and classified according to the risk level.In this way,the service life of the LPG cylinder weld is determined.The presented method improves the safety risk assessment process of LPG cylinder and provides a good theoretical and practical basis for similar pressure vessel risk assessment.展开更多
Energy performance contracting provides guaranteed minimum energy savings to building owners,enabling them to finance project costs using utility savings over the duration of the project.This has been an attractive pr...Energy performance contracting provides guaranteed minimum energy savings to building owners,enabling them to finance project costs using utility savings over the duration of the project.This has been an attractive project delivery method for organizations with reduced budgets for capital projects,particularly among correctional facilities which frequently have lengthy periods of deferred maintenance and ongoing building operations and maintenance concerns.This research builds on a previously developed project factors risk framework for energy service companies undertaking building retrofits.This paper proposes a risk analysis and evaluation model that includes quantitative,expert-based,and probabilistically derived information.Expected cost was used to evaluate risks over lengthy project life cycles and a new metric was developed for use in the model-expected life cycle value.Model results reveal that the most critical risk factors relate to the reduced availability of“low-hanging fruit”energy conservation measures,work scopes based on traditional design-bid-build procurement,unavailable or inaccurate facility information,facility age and current code requirements,and conducting the investment grade audit too quickly.The life cycle cost-based risk model employed in this paper is proposed as an advancement over traditional risk management methods,and it is expected to be applicable,with modification,across other municipal and state government subdomains,especially high security projects.展开更多
Healthcare waste(HCW)management plays a vital role in the development of modern society.In HCW management,failure mode and effects analysis(FMEA)is a popular method to implement risk management for improving the quali...Healthcare waste(HCW)management plays a vital role in the development of modern society.In HCW management,failure mode and effects analysis(FMEA)is a popular method to implement risk management for improving the quality of healthcare.However,the shortcomings of the traditional FMEA method have been widely discussed in literatures.This paper proposes an information fusion FMEA method based on 2-tuple linguistic information and interval probability.The 2-tuple linguistic set theory is adopted to change the heterogeneous information into interval numbers.Meanwhile,the interval probability comparison method is applied to analyze failure modes.Finally,a case study is presented to verify the reliability and effectiveness of the proposed method by comparing different FMEA methods.展开更多
基金supported by the Fundamental Research Funds for the Central Universities(22120240094)Humanities and Social Science Fund of Ministry of Education China(22YJA630082).
文摘Failure mode and effect analysis(FMEA)is a preven-tative risk evaluation method used to evaluate and eliminate fail-ure modes within a system.However,the traditional FMEA method exhibits many deficiencies that pose challenges in prac-tical applications.To improve the conventional FMEA,many modified FMEA models have been suggested.However,the majority of them inadequately address consensus issues and focus on achieving a complete ranking of failure modes.In this research,we propose a new FMEA approach that integrates a two-stage consensus reaching model and a density peak clus-tering algorithm for the assessment and clustering of failure modes.Firstly,we employ the interval 2-tuple linguistic vari-ables(I2TLVs)to express the uncertain risk evaluations provided by FMEA experts.Then,a two-stage consensus reaching model is adopted to enable FMEA experts to reach a consensus.Next,failure modes are categorized into several risk clusters using a density peak clustering algorithm.Finally,the proposed FMEA is illustrated by a case study of load-bearing guidance devices of subway systems.The results show that the proposed FMEA model can more easily to describe the uncertain risk information of failure modes by using the I2TLVs;the introduction of an endogenous feedback mechanism and an exogenous feedback mechanism can accelerate the process of consensus reaching;and the density peak clustering of failure modes successfully improves the practical applicability of FMEA.
基金National Natural Science Foundation of China(No.51565019)the Scientific Research Start-Up Program of Tongji University,China(No.20141110)
文摘It is not objective to rate the decision-making factors in the traditional failure mode and effect analysis,so fuzzy semantic theory is used in this paper.Six fuzzy semantic scales and their corresponding semantics are summarized,and a defuzzification method is studied to obtain the fuzzy value table of the six fuzzy semantic scales.For the conflicts between experts in the traditional failure mode and effects analysis,a conflict-resolution algorithm is studied to obtain the failure risk order.Finally,a certain type of industrial valve is used as an example to prove the validity of the theory proposed in this paper.
基金Young Scholar Program of Hebei Pharmaceutical Association Hospital Pharmaceutical Research Project(2020—Hbsyxhqn0029)Science and Technology Research and Development Project of Chengde City,Hebei Province(201706A043).
文摘[Objectives]To investigate the effect of healthcare failure mode and effect analysis(HFMEA)on reducing error risk of neonatal parenteral nutrition solution dispensing.[Methods]A research team was established to identify the failure mode(FM)in each link of the formulation process of neonatal parenteral nutrition solution by HFMEA,quantify the severity(S),occurrence(O)and detection(D)of FM,and evaluate FM by risk priority number(RPN).For FM with the values of RPN>16,failure cause analysis was conducted,and corresponding improvement measures were formulated.The weight coefficient and random consistency ratio(CR)of deployment process were calculated in Matlab R2018a by compiling the Analytic Hierarchy Process(AHP)program.Six months after the implementation of improvement measures,the implementation effect was evaluated by comparing the changes of the values of RPN which was evaluated comprehensively and the rate of dispensing errors before and after the implementation of HFMEA.[Results]In the preparation process of neonatal parenteral nutrition solution,a total of 13 FMs with medium and above risk were found,the weight coefficient of medical order review,dosing and mixing was 0.2703,the weight coefficient of drug dispensing check and review was 0.1432,the weight coefficient of print label was 0.1015,the weight coefficient of distribution was 0.0716,and CR=0.0491<0.1.After six months of intervention,the total RPN value decreased by 64.81%from 127.8 to 45.0.The deployment error rates were significantly lower after the implementation,and the difference was statistically significant(P<0.05).[Conclusions]HFMEA can effectively reduce the error risk in preparation of neonatal parenteral nutrition solution,improve the quality of dispensing and promote the safety of neonatal medication.
文摘Objective: the experiment will apply failure mode and effect analysis combined with PDCA cycle management to hepatobiliary surgery patients to jointly improve the nursing results of patients. Methods: the experiment selected the patients of hepatobiliary surgery as the object of this investigation. In terms of time period, we retrieved 120 patients who received corresponding treatment in our hospital from June 2019 to December 2020. They were divided into two groups by random number method. Patients in the control group were given routine nursing measures, while patients in the observation group were given failure mode and effect analysis combined with PDCA cycle management to compare the nursing results. Results: from the point of view of nursing quality, the incidence of nursing errors in the observation group was 1.7% and that in the control group was 6.7%, which was statistically significant (P < 0.05). At the same time, the satisfaction degree of the patients in the observation group was 98.3%, which was better than that of the control group (90.0%), and the difference was statistically significant (P < 0.05). Finally, the incidence of complications was 8.3% (5/60) in the observation group and 18.3% (11/60) in the control group, the difference was statistically significant (P < 0.05). Conclusion: the application of failure mode and effect analysis combined with PDCA circulation management mode has good effect on rehabilitation nursing of patients with hepatobiliary surgery diseases, can improve the overall quality of nursing work, and has promotional value.
文摘A risk assessment method for marine configuration based on Fuzzy Probability Influence Diagram （FPID） and Failure Mode and Effect Analysis （FMEA） is established in this paper. Considering the fuzzy characteristic of the two key inputs such as event happening probability and relation probability, the method induces fuzzy probability into the PID risk assessment for marine configuration, where defuzzification is performed using the centroid method to determine the risk at a given grade of a probabilistic item. FMEA as a traditional qualitative analysis method is used to determine the effect factor structure. An application of the presented method for the offshore jacket platform is implemented. The method can be widely applicable although only offshore platform is analyzed here.
基金funded by the China Scholarship Council,which sponsored Wei Zuo’s PhD study at the University of Leeds。
文摘The electric road system(ERS)is an emerging technology to support decarbonization of heavy goods vehicles.The reliability of the traction power supply system(TPSS)for an electric road is a key consideration in ERS planning and maintenance,but since the development of ERS is still at its early stage,the reliability study of different ERS systems has not been fully researched.This paper fills this research gap.It first analyses the potential operation risks of three different ERS systems using the failure mode and effect analysis method.Then,a fault tree model is built to analyse the overall reliability of the traction power supply system of each of the three ERS types and to identify the weak links.Furthermore,the overall failure rate and reliability indicators are obtained by combining the possible failures of both the electric and non-electric components of the TPSS.Finally,based on the analysis of the potential risks and the corresponding reliability indicators,the advantages and disadvantages of different ERS solutions and the future development prospects are discussed.
基金This research is fully supported by HEC Grant of Research for publishing scientific articles.The authors fully acknowledge support from Sarhad University of Science and Information Technology for the approved fund which makes this research viable and effective.
文摘The objective of this work was to enhance the product’s quality by concentrating on the machine’s optimized efficiency.In order to increase the machine’s reliability,the basis of reliability-centered maintenance approach was utilized.The purpose was to establish a planned preventive maintenance strategy to identify the machine’s critical components having a noteworthy effect on the product’s quality.The critical components were prioritized using failure mode and effect analysis(FMEA).The goal of the study was to decrease the ppm time interval for a CNC machine by simulating the projected preventive maintenance time interval.For this purpose,the simulation software ProModel 7.5 was implemented for the current preventive maintenance procedure to choose the best ppm time interval which contributed better norms.Five dissimilar optimization approaches were applied,however,the first approach yielded the prominent total system cost and the shorter ppm interval.The results of the study revealed that there was an increase of USD 1878 as a result of an increase in total system cost from USD 78,365 to USD 80,243.Preventive maintenance costs were reduced from USD 4196 to USD 2248(46%).The costs associated with good parts increased from USD 8259 to USD 8294(0.4%)and the costs associated with defective parts reduced from USD 171 to USD 3(98.25%),respectively.
文摘With the widespread application of liquefied petroleum gas (LPG),the safety of LPG cylinder has received more and more attention.For the safety of LPG cylinder,we conduct a safety risk assessment of cylinder using the failure mode and effect analysis (FMEA) method.Taking the most influential inflatable fatigue under normal conditions as the research object,we use FE-safe software to analyze the fatigue failure.The risk compliance coefficients of various failure modes are calculated and classified according to the risk level.In this way,the service life of the LPG cylinder weld is determined.The presented method improves the safety risk assessment process of LPG cylinder and provides a good theoretical and practical basis for similar pressure vessel risk assessment.
文摘Energy performance contracting provides guaranteed minimum energy savings to building owners,enabling them to finance project costs using utility savings over the duration of the project.This has been an attractive project delivery method for organizations with reduced budgets for capital projects,particularly among correctional facilities which frequently have lengthy periods of deferred maintenance and ongoing building operations and maintenance concerns.This research builds on a previously developed project factors risk framework for energy service companies undertaking building retrofits.This paper proposes a risk analysis and evaluation model that includes quantitative,expert-based,and probabilistically derived information.Expected cost was used to evaluate risks over lengthy project life cycles and a new metric was developed for use in the model-expected life cycle value.Model results reveal that the most critical risk factors relate to the reduced availability of“low-hanging fruit”energy conservation measures,work scopes based on traditional design-bid-build procurement,unavailable or inaccurate facility information,facility age and current code requirements,and conducting the investment grade audit too quickly.The life cycle cost-based risk model employed in this paper is proposed as an advancement over traditional risk management methods,and it is expected to be applicable,with modification,across other municipal and state government subdomains,especially high security projects.
基金supported by the National Natural Science Foundation of China(Nos.71931006,71702072)the Natural Science Foundation for Jiangsu Institutions(No.BK20170810)the China Postdoctoral Science Foundation(No.2019T120429,2017M611808)
文摘Healthcare waste(HCW)management plays a vital role in the development of modern society.In HCW management,failure mode and effects analysis(FMEA)is a popular method to implement risk management for improving the quality of healthcare.However,the shortcomings of the traditional FMEA method have been widely discussed in literatures.This paper proposes an information fusion FMEA method based on 2-tuple linguistic information and interval probability.The 2-tuple linguistic set theory is adopted to change the heterogeneous information into interval numbers.Meanwhile,the interval probability comparison method is applied to analyze failure modes.Finally,a case study is presented to verify the reliability and effectiveness of the proposed method by comparing different FMEA methods.
