Impact of failure mode and effects analysis-based emergency management on the effectiveness of craniocerebral injury treatment

BACKGROUND Craniocerebral injuries encompass brain injuries,skull fractures,cranial soft tissue injuries,and similar injuries.Recently,the incidence of craniocerebral injuries has increased dramatically due to the increased numbers of traffic accidents and aerial work injuries,threatening the physical and mental health of patients.AIM To investigate the impact of failure modes and effects analysis(FMEA)-based emergency management on craniocerebral injury treatment effectiveness.METHODS Eighty-four patients with craniocerebral injuries,treated at our hospital from November 2019 to March 2021,were selected and assigned,using the random number table method,to study(n=42)and control(n=42)groups.Patients in the control group received conventional management while those in the study group received FMEA theory-based emergency management,based on the control group.Pre-and post-interventions,details regarding the emergency situation;levels of inflammatory stress indicators[Interleukin-6(IL-6),C-reactive protein(CRP),and procalcitonin(PCT)];incidence of complications;prognoses;and satisfaction regarding patient care were evaluated for both groups.RESULTS For the study group,the assessed parameters[pre-hospital emergency response time(9.13±2.37 min),time to receive a consultation(2.39±0.44 min),time needed to report imaging findings(1.15±4.44 min),and test reporting time(32.19±6.23 min)]were shorter than those for the control group(12.78±4.06 min,3.58±0.71 min,33.49±5.51 min,50.41±11.45 min,respectively;P<0.05).Pre-intervention serum levels of IL-6(78.71±27.59 pg/mL),CRP(19.80±6.77 mg/L),and PCT(3.66±1.82 ng/mL)in the study group patients were not significantly different from those in the control group patients(81.31±32.11 pg/mL,21.29±8.02 mg/L,and 3.95±2.11 ng/mL respectively;P>0.05);post-intervention serum indicator levels were lower in both groups than pre-intervention levels.Further,serum levels of IL-6(17.35±5.33 pg/mL),CRP(2.27±0.56 mg/L),and PCT(0.22±0.07 ng/mL)were lower in the study group than in the control group(30.15±12.38 pg/mL,3.13±0.77 mg/L,0.38±0.12 ng/mL,respectively;P<0.05).The complication rate observed in the study group(9.52%)was lower than that in the control group(26.19%,P<0.05).The prognoses for the study group patients were better than those for the control patients(P<0.05).Patient care satisfaction was higher in the study group(95.24%)than in the control group(78.57%,P<0.05).CONCLUSION FMEA-based craniocerebral injury management effectively shortens the time spent on emergency care,reduces inflammatory stress and complication risk levels,and helps improve patient prognoses,while achieving high patient care satisfaction levels.

Comprehensive Reliability Allocation Method for CNC Lathes Based on Cubic Transformed Functions of Failure Mode and Effects Analysis

Reliability allocation of computerized numerical controlled（CNC）lathes is very important in industry.Traditional allocation methods only focus on high-failure rate components rather than moderate failure rate components,which is not applicable in some conditions.Aiming at solving the problem of CNC lathes reliability allocating,a comprehensive reliability allocation method based on cubic transformed functions of failure modes and effects analysis（FMEA）is presented.Firstly,conventional reliability allocation methods are introduced.Then the limitations of direct combination of comprehensive allocation method with the exponential transformed FMEA method are investigated.Subsequently,a cubic transformed function is established in order to overcome these limitations.Properties of the new transformed functions are discussed by considering the failure severity and the failure occurrence.Designers can choose appropriate transform amplitudes according to their requirements.Finally,a CNC lathe and a spindle system are used as an example to verify the new allocation method.Seven criteria are considered to compare the results of the new method with traditional methods.The allocation results indicate that the new method is more flexible than traditional methods.By employing the new cubic transformed function,the method covers a wider range of problems in CNC reliability allocation without losing the advantages of traditional methods.

Failure Mode Effects and Criticality Analysis Method of Armored Equipment Based on Testability Growth

In view of the low level testability of armored equipment,the important significance of armored equipment testability growth is discussed in this paper.The failure mode effects and criticality analysis( FMECA) method to realize testability growth is introduced.Centering on the testability growth demands of new armored equipment,the deficiencies of traditional FMECA are analyzed.And an enhanced FMECA( EFMECA) method is proposed.The method increases the analysis contents,combines the information before the failure occurrence and impending failure modes together organically.Then the failure symptoms is analyzed,the failure modes and effects is determined,and the state development trend is predicted.Finally,the application of EFMECA method is illustrated by the example of the failure mode of typical armored equipment engine.

Failure Mode and Effects Analysis （FMEA） by Fuzzy Data Envelop Analysis （Fuzzy-DEA）

Failure mode and effects analysis （FMEA） offers a quick and easy way for identifying ranking-order for all failure modes in a system or a product. In FMEA the ranking methods is so called risk priority number （RPN）, which is a mathematical product of severity （S）, occurrence （0）, and detection （D）. One of major disadvantages of this ranking-order is that the failure mode with different combination of SODs may generate same RPN resulting in difficult decision-making. Another shortfall of FMEA is lacking of discerning contribution factors, which lead to insufficient information about scaling of improving effort. Through data envelopment analysis （DEA） technique and its extension, the proposed approach evolves the current rankings for failure modes by exclusively investigating SOD in lieu of RPN and to furnish with improving sca.les for SOD. The purpose of present study is to propose a state-of-the-art new approach to enhance assessment capabilities of failure mode and effects analysis （FMEA）. The paper proposes a state-of-the-art new approach, robust, structured and useful in practice, for failure analysis.

Risk Evaluation in Blood Donation Using Failure Mode and Effective Analysis

The recognition and management of risk in donation process and blood product is critical to ensure donor and patient safety. To achieve this goal, the failure mode and effects analysis (FMEA) is a convenient method;moreover it was used to prevent the occurrence of adverse events and look at what could go strong at each step. This study aimed to utilize FMEA in central blood bank in Khartoum to evaluate the potential risk and adverse event that may occur during the donation process. According to the severity, occurrence and the detection of each failure mode, the risk priority number (RPN) was calculated to determine which of the failures should take priority to find a solution and applying corrective action to reduce the failure risk. The statistical package for social sciences (SPSS) version 11 was used as descriptive and analytical statistics tool. The FMEA technique provides a systematic method for finding vulnerabilities in a process before they result in an error, and in this study a satisfactory outcome was reached.

Application of Fuzzy Decision-Making Theory and Conflict-Resolution Method to Failure Mode and Effect Analysis of Industrial Valve

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.

Effect of Healthcare Failure Mode and Effect Analysis on Reducing Error Risk of Neonatal Parenteral Nutrition Solution Dispensing

[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.

Effectiveness and failure modes of error correcting code in industrial 65 nm CMOS SRAMs exposed to heavy ions

Single event upsets(SEUs) induced by heavy ions were observed in 65 nm SRAMs to quantitatively evaluate the applicability and effectiveness of single-bit error correcting code(ECC) utilizing Hamming Code.The results show that the ECC did improve the performance dramatically,with the SEU cross sections of SRAMs with ECC being at the order of 10^(-11) cm^2/bit,two orders of magnitude higher than that without ECC(at the order of 10^(-9) cm^2/bit).Also,ineffectiveness of ECC module,including 1-,2- and 3-bits errors in single word(not Multiple Bit Upsets),was detected.The ECC modules in SRAMs utilizing(12,8) Hamming code would lose work when 2-bits upset accumulates in one codeword.Finally,the probabilities of failure modes involving 1-,2- and 3-bits errors,were calcaulated at 39.39%,37.88%and 22.73%,respectively,which agree well with the experimental results.

Mechanical model for failure modes of rock and soil under compression

The failure modes of rock and soil under compression are complex phenomena that have not been explained in a mechanical perspective. However, large amounts of studies indicate that the failure modes of rock and soil samples can be categorized into eight types. In this work, the inner tensile stress and the dissipation and conversion of energy of rock and soil under compression are analyzed, then the effective conversion coefficient of energy is deduced, thus the tensile failure criterion of rock and soil under compression is established. Combined with the shear strength criterion of Mohr–Coulomb, a tensile joint shear strength criterion for rock and soil under compression is built. Therefore, a mechanical criterion model concerning the failure modes of rock and soil under compression is established and verified by tests. This model easily explains the test results in the existing literature and many natural phenomena, such as collapse.

Coupling effects of morphology and inner pore distribution on the mechanical response of calcareous sand particles

Calcareous sand is typically known as a problematic marine sediment because of its diverse morphology and complex inner pore structure.However,the coupling effects of morphology and inner pores on the mechanical properties of calcareous sand particles have rarely been investigated and understood.In this study,apparent contours and internal pore distributions of calcareous sand particles were obtained by three-dimensional(3D)scanning imaging and X-ray micro-computed tomography(X-mCT),respectively.It was revealed that calcareous sand particles with different outer morphologies have different porosities and inner pore distributions because of their original sources and particle transport processes.In addition,a total of 120 photo-related compression tests and 4923D discrete element simulations of four specific shaped particles,i.e.bulky,angular,dendritic and flaky,with variations in the inner pore distribution were conducted.The macroscopic particle strength and Weibull modulus obtained from the physical tests are not positively correlated with the porosity or regularity in shape,indicating the existence of coupling effect of particle shape and pore distribution.The shape effect on the particle strength first increases with the porosity and then decreases.The particle crushing of relatively regular particles is governed by the porosity,but that of extremely irregular particles is governed by the particle shape.The particle strength increases with the uniformity of the pore distribution.Particle fragmentation is mainly dependant on tensile bond strength,and the degree of tensile failure is considerably impacted by the particle shape but limited by the pore distribution.

Failure Modes of Machining Center in Test Run

To analysis the early failures of machining centers,the failure mode effect and criticality analysis( FMECA) method was used. Based on the failure data collected from production lines in test run,all the failure modes of machining centers were summarized and criticality of all subsystems is figured out. And the process of FMECA was improved. The most critical subsystem was manipulator subsystem. The most critical failure mode was impacted manipulator. Reasons and effect of some important failure modes were analyzed. And some suggestions to solve failures were given.

Analysis of Potential Failure Modes in an Assembly Line by Fuzzy Expert Systems

The failure modes and effects analysis （FMEA） is widely applied in manufacturing industries in various phases of the product life cycle to evaluate the system, its design and processes for failures that can occur. The FMEA team often demonstrates different opinions and these different types of opinions are very difficult to incorporate into the FMEA by the traditional risk priority number model. In this paper, for each of the Occurrence, Severity and Detectivity parameters a fuzzy set is defined and the opinion of each FMEA team members is considered. These opinions are considered simultaneously with weights that are given to each individual based on their skills and experience levels. In addition, the opinion of the costumer is considered for each of the FMEA parameters. Then, the Risk Priority Numbers （RPN） is calculated using a Multi Input Single Output （MISO） fuzzy expert system. The proposed model is applied for prioritizing the failures of Peugeot 206 Engine assembly line in IKCo （Iran Khodro Company）.

System failure analysis based on DEMATEL–ISM and FMECA

A new method of system failure analysis was proposed. First, considering the relationships between the failure subsystems,the decision making trial and evaluation laboratory(DEMATEL) method was used to calculate the degree of correlation between the failure subsystems, analyze the combined effect of related failures, and obtain the degree of correlation by using the directed graph and matrix operations. Then, the interpretative structural modeling(ISM) method was combined to intuitively show the logical relationship of many failure subsystems and their influences on each other by using multilevel hierarchical structure model and obtaining the critical subsystems. Finally, failure mode effects and criticality analysis(FMECA) was used to perform a qualitative hazard analysis of critical subsystems, determine the critical failure mode, and clarify the direction of reliability improvement.Through an example, the result demonstrates that the proposed method can be efficiently applied to system failure analysis problems.

基于FMEA法的住院药房智能药柜用药安全研究

目的提高住院药房智能药柜(ADC)的用药安全管理。方法采用失效模型和效应分析(FMEA)法,经医院护士、药师等讨论后,从信息系统、人员操作、药品信息、硬件设备、管理方法5个方面建立20个失效模型(包括32个风险点),汇总为调查问卷,并通过专家咨询和药师讨论后建立问卷评分标准。于干预前发放问卷进行调查,根据发现的风险对其中30个可操作的风险点设定干预措施,持续干预5个月后(干预后)再次进行问卷调查,比较干预前后的风险优先级数(RPN)。结果干预后,30个风险点的RPN值均不同程度降低,其中22个显著降低(P<0.05)。管理方法方面的全部风险点RPN值均显著降低(P<0.05);硬件设备方面的全部风险点RPN值均无显著改变(P>0.05)。结论FMEA法用于住院药房ADC的用药安全研究,可减少其用药风险,促进药护共同管理安全使用ADC规则的形成,尤其适用于麻醉药品等特殊药品的用药管理。

失效模式和效应分析在降低PICC导管移位管理中的应用

目的:探讨失效模式和效应分析(FMEA)在降低经外周静脉置入中心静脉导管(PICC)导管移位管理中的应用效果。方法:选取2023年1月—3月PICC置管治疗的104例病人作为对照组,实施常规护理;选取2023年4月—6月采用PICC置管治疗的110例病人作为观察组,实施FMEA管理模式,比较两组风险优先指数(RPN)、治疗间歇期导管移位率及护理满意度。结果:两组干预后5个失效模式的RPN值、PICC导管移位率、护理满意度比较,差异均有统计学意义(P<0.05)。结论:FMEA模式管理可以发现管理流程中潜在的问题和漏洞,降低PICC导管移位率,从而提高护理质量和护理满意度,保证病人安全。

尺寸效应对岩石单轴压缩试验影响研究

为探究尺寸效应对小尺寸岩样单轴压缩试验的影响规律,通过在室内伺服试验机上对直径25 mm,不同长度的花岗岩岩样进行单轴压缩试验,研究尺寸效应对小尺寸花岗岩岩石力学参数以及破坏形式的影响规律。试验结果表明,随着长径比增加,岩样表现出抗压强度和泊松比逐渐减小,弹性模量增加的趋势。其中,多项式模型较为适合小尺寸岩样尺寸效应强度模型;不同长径比岩样的单轴压缩试验应力应变曲线加载趋势不同,其峰值应变随着长径比的增加而减小;随着长径比的增加,岩石破坏形式从脆性剪切破坏转变为剪切破坏,最后逐步变为脆性破坏,岩样破坏面数量与角度出现规律性变化。当长径比在1.1~2.2时,岩样破坏形式遵循相同的破坏准则,通过拟合公式推导不同长径比岩样的力学参数存在可行性;岩石单轴试验破坏过程中的能量与长径比呈负相关,且当长径比在1.9~2.2时,各能量变化幅度趋于平缓,岩样破坏形式较为统一,其强度在数值上表现的差异性较小,可作为小尺寸岩样单轴试验的最佳长径比。

失效模式与效应分析在骨科机器人手术流程改善中的应用

目的:探究失效模式与效应分析(FMEA)在骨科机器人手术流程改善中的应用效果。方法:选取2021年1月—2022年12月在我院实施骨科机器人手术的病人为研究对象,将2021年1月—12月(流程改善前)的300例病人作为对照组,将2022年1月—12月(流程改善后)的300例病人作为研究组。对照组实施常规骨科机器人手术流程,研究组实施采用FMEA改善后的骨科机器人手术流程。比较两组手术流程管理失效模式风险优先指数得分、手术时间、术中出血量、住院时间、并发症发生情况及病人满意度。结果:研究组手术流程管理失效模式风险优先指数得分低于对照组;研究组手术时间为(39.12±5.68)min,住院时间为(3.56±1.71)d,均短于对照组[手术时间为(48.31±6.71)min,住院时间为(5.12±1.98)d];研究组术中出血量为(65.23±8.36)mL,少于对照组(71.36±9.11)mL;研究组并发症发生率为3.33%,低于对照组(7.00%);研究组病人满意度为95.00%,高于对照组(89.67%),差异均有统计学意义(P<0.05)。结论:采用FMEA方法能够根据量化指标确定风险因素,从而制定针对性的预防措施,帮助临床医生改善骨科机器人手术流程,降低手术风险,提高手术质量。

医疗失效模式与效应分析在临床试验方案偏离管理中的应用

目的规范临床试验的管理,降低方案偏离的发生率,为提高临床试验的质量提供参考。方法运用医疗失效模式与效应分析方法(HFMEA)确定目前方案偏离发生的潜在失效模式,量化并评估失效模式发生频率、严重程度及可探测度,计算风险优先数(RPN),提出相应的改进措施,统计分析HFMEA实施前后RPN值,评估改进效果。结果开展HFMEA活动后,14项潜在失效模式的RPN值明显下降(P<0.05);12项潜在失效模式的风险等级下降。HFMEA小组成员在发现问题和解决问题能力、沟通配合等方面得到了显著提高。结论HFMEA活动的实施有助于临床试验方案偏离的管理,可有效降低方案偏离的发生,为提高药物临床试验质量提供经验。

基于措施优先级的失效模式和效应分析在结直肠术手术部位感染防控中的应用

目的评估结直肠手术后手术部位感染(SSI)防控措施执行的过程风险,探讨基于措施优先级的失效模式和效应分析(FMEA)的应用效果。方法应用基于措施优先级的FMEA评估结直肠手术后SSI防控措施执行的整个流程,对是否采取优化措施进行优先级排序,比较FMEA实施前后结直肠手术SSI防控措施依从项达标率、SSI发病率。结果评估后SSI高优先级防控措施7项,中优先级22项,对中优先级措施加强控制,重点对高优先级措施制定进一步的预防和可探测措施。改进后再评价结果显示,7项高优先级措施降至中优先级;16项中优先级措施降至低优先级。SSI防控措施执行达标率由77.15%(2566/3326)提高至92.47%(3096/3348),SSI发病率由6.04%(58/960)降至2.54%(60/2364)。结论运用基于措施优先级的FMEA可对结直肠手术SSI防控过程进行有效风险评估,并结合现状针对性采用预防性风险控制措施,可降低结直肠手术SSI发病率。

基于改进FMEA的污水厂设备故障风险评估模型

为保障污水处理厂正常运行,预防厂内设备发生故障,提出一种改进的故障模式与影响分析(FMEA)的风险评估模型。首先采用FMEA法识别污水厂设备故障模式,并结合毕达哥拉斯模糊集(PFS)刻画不确定评估信息;其次利用逐步权重评估比率分析法(SWARA)和最大偏差法计算主客观权重,通过博弈论组合权重计算3个风险因子的综合权重;然后采用多目标优化比率分析法(MOORA)对设备故障模式进行风险排序。最后以长春市Z污水厂设备故障风险评估为例,并将所提模型与传统FMEA、毕达哥拉斯模糊(PF)-优劣解距离法(TOPSIS)和PF-妥协折衷排序法(PF-VIKOR)等方法对比,验证该模型的有效性。结果表明:污水厂设备故障模式前3位是除砂机抽取的砂浆所含有机物过多、膜片脱落或破裂和大块异物进入水泵。