Failure mode prioritization by improved RPN calculation method

Wu, Juyi; Tian, Jin; Zhao, Tingdi

doi:10.1109/rams.2014.6798495

Cited by 10 publications

(7 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, in the proposed method, by involving reliability factors in identifying failure modes, F 8 or medication administration error is known as a critical failure mode. Wu et al [ 56 ] also confirmed the importance of this failure mode in MEs occurrence. The results also point to the importance of F 8 as the main failure mode.…”

Section: Analysis Of the Resultsmentioning

confidence: 77%

“…The importance of F 8 is the principal reason for this contradiction, which is determined by considering reliability. The importance of this failure mode was approved in several papers [ 56 , 57 ]; any error occurrence in medication preparation can cause irreversible results for the patients or fatality.…”

Section: Analysis Of the Resultsmentioning

confidence: 99%

“…e importance of F 8 is the principal reason for this contradiction, which is determined by considering reliability. e importance of this failure mode was approved in several papers [56,57]; any error occurrence in medication preparation can cause irreversible results for the patients or fatality. F 3 in all the methods ranks third place, which means that this failure mode has not been affected by weight changes, and the uncertainty is minimum about this failure mode based on experts' decision because of any mistake in stock of medication by the pharmacy can result in incorrect medication.…”

Section: Results Comparisonmentioning

confidence: 99%

See 2 more Smart Citations

Theory-Based Failure Modes and Effect Analysis for Medication Errors

Ghoushchi

Dorosti

Rahman

et al. 2021

Journal of Healthcare Engineering

View full text Add to dashboard Cite

Medication Errors (MEs) are still significant challenges, especially in nonautomated health systems. Qualitative studies are mostly used to identify the parameters involved in MEs. Failing to provide accurate information in expert-based decisions can provoke unrealistic results and inappropriate corrective actions eventually. However, mostly, some levels of uncertainty accompany the decisions in real practice. This study tries to present a hybrid decision-making approach to assigning different weights to risk factors and considering the uncertainty in the ranking process in the Failure Modes and Effect Analysis (FMEA) technique. Initially, significant MEs are identified by three groups of qualified experts (doctors, nurses, and pharmacists). Afterward, for assigning weights to the risk factors, Z-number couples with the Stepwise Weight Assessment Ratio Analysis (SWARA) method, named Z-SWARA, to add reliability concept in the decision-making process. Finally, the identified MEs are ranked through the developed Weighted Aggregated Sum Product Assessment (WASPAS) method, namely, Z-WASPAS. To demonstrate the applicability of the proposed approach, the ranking results compare with typical methods, such as fuzzy-WASPAS and FMEA. The findings of the present study highlight improper medication administration as the main failure mode, which can result in a fatality or patient injury. Moreover, the utilization of multiple-criteria decision-making methods in combination with Z-number can be a useful tool in the healthcare management field since it can address the problems by considering reliability and uncertainty simultaneously.

show abstract

Section: Analysis Of the Resultsmentioning

confidence: 77%

Section: Analysis Of the Resultsmentioning

confidence: 99%

Section: Results Comparisonmentioning

confidence: 99%

See 1 more Smart Citation

Theory-Based Failure Modes and Effect Analysis for Medication Errors

Ghoushchi

Dorosti

Rahman

et al. 2021

Journal of Healthcare Engineering

View full text Add to dashboard Cite

show abstract

“…Although FMEA poses numerous problems, it is the most frequently applied reliability evaluation method across all industries because of its simple and systematic analysis. To strengthen the FMEA evaluation performance to supplement the existing problems of FMEA, researchers have investigated methods and approaches from various perspectives [21,22], including a method where, after pre-selecting the factors necessary for FMEA [23], the relationship between the failure mode and effect can be determined by applying various control methods such as fuzzy logic, neural network, functional inference theory [10][11][12][13][14][24][25][26][27][28]; a FMEA matrix, which graphically assesses the relationship between the elements of a system, failure modes, and failure effects [29,30]; methods to effectively prepare the appropriate FMEA form for a given objective [31,32]; methods to provide a worksheet that automatically generates the FMEA using past FMEA data [33]; and other approaches to derive more objective FMEA results [34].…”

Section: Problems With the Existing Rpn Evaluation Methodsmentioning

confidence: 99%

Comparison and Verification of Reliability Assessment Techniques for Fuel Cell-Based Hybrid Power System for Ships

Jeon

Park

Kim

2020

JMSE

View full text Add to dashboard Cite

In order to secure the safe operation of the ship, it is crucial to closely examine the suitability from the design stage of the ship, and to set up a preliminary review and countermeasures for failures and defects that may occur during the construction process. In shipyards, the failure mode and effects analysis (FMEA) evaluation method using risk priority number (RPN) is used in the shipbuilding process. In the case of the conventional RPN method, evaluation items and criteria are ambiguous, and subjective factors such as evaluator’s experience and understanding of the system operate a lot on the same contents, resulting in differences in evaluation results. Therefore, this study aims to evaluate the safety and reliability for ship application of the reliability-enhanced fuel cell-based hybrid power system by applying the re-established FMEA technique. Experts formed an FMEA team to redefine reliable assessment criteria for the RPN assessment factors severity (S), occurrence (O), and detection (D). Analyze potential failures of each function of the molten-carbonate fuel cell (MCFC) system, battery system, and diesel engine components of the fuel cell-based hybrid power system set as evaluation targets to redefine the evaluation criteria, and the evaluation criteria were derived by identifying the effects of potential failures. In order to confirm the reliability of the derived criteria, the reliability of individual evaluation items was verified by using the significance probability used in statistics and the coincidence coefficient of Kendall. The evaluation was conducted to the external evaluators using the reestablished evaluation criteria. As a result of analyzing the correspondence according to the results of the evaluation items, the severity was 0.906, the incidence 0.844, and the detection degree 0.861. Improved agreement was obtained, which is a significant result to confirm the reliability of the reestablished evaluation results.

show abstract

“…Wu et al [11] proposed an improvement to FMEA by adding cost, casualty, downtime, probability of occurrence, and detectability factors to the RPN calculation. Each factor value is obtained by comparing the failure mode with the worst situation in the affected area, contrary to the usual rank assignment by experts.…”

Section: Rpn Estimation Improvementmentioning

confidence: 99%

Failure Mode and Effect Analysis for Cyber-Physical Systems

et al. 2020

View full text Add to dashboard Cite

Cyber-Physical Systems (CPS) are a prominent component of the modern digital transformation, which combines the dynamics of the physical processes with those of software and networks. Critical infrastructures have built-in CPS, and assessing its risk is crucial to avoid significant losses, both economic and social. As CPS are increasingly attached to the world’s main industries, these systems’ criticality depends not only on software efficiency and availability but also on cyber-security awareness. Given this, and because Failure Mode and Effect Analysis (FMEA) is one of the most effective methods to assess critical infrastructures’ risk, in this paper, we show how this method performs in the analysis of CPS threats, also exposing the main drawbacks concerning CPS risk assessment. We first propose a risk prevention analysis to the Communications-Based Train Control (CBTC) system, which involves exploiting cyber vulnerabilities, and we introduce a novel approach to the failure modes’ Risk Priority Number (RPN) estimation. We also propose how to adapt the FMEA method to the requirement of CPS risk evaluation. We applied the proposed procedure to the CBTC system use case since it is a CPS with a substantial cyber component and network data transfer.

show abstract

Failure mode prioritization by improved RPN calculation method

Cited by 10 publications

References 14 publications

Theory-Based Failure Modes and Effect Analysis for Medication Errors

Theory-Based Failure Modes and Effect Analysis for Medication Errors

Comparison and Verification of Reliability Assessment Techniques for Fuel Cell-Based Hybrid Power System for Ships

Failure Mode and Effect Analysis for Cyber-Physical Systems

Contact Info

Product

Resources

About