The Implementation of Importance Measure Approaches for Criticality Analysis in Fault Tree Analysis: A Review

Purba, Julwan Hendry; Deswandri, Deswandri

doi:10.17146/jpen.2018.20.1.4257

Cited by 2 publications

(1 citation statement)

References 33 publications

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“…This data can be in the form of reports of accidents or damage to stamping machines produced by the company. Furthermore, researchers can conduct observations and interviews with experts in the stamping machine field to understand the production process, machine specifications, and risk factors that might affect the safety and quality of the stamping machine [16,[18][19][20]. Data is collected based on the history of customer claims and the stay protector.…”

Section: Summary Claim Customer Dan Bar Diagrammentioning

confidence: 99%

Fault Tree Analysis: A Path to Improving Quality in Part Stay Protector A Comp

Sumasto,

Arliananda,

Imansuri

et al. 2023

JESA

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This research aims to enhance the quality of automotive components by employing fault tree analysis (FTA) to identify root causes and implement improvements. The FTA method was applied within an Indonesian automotive component manufacturing company specializing in producing Part Stay Protector A Comp. This component is a critical linkage point between exhaust systems and vehicle end caps, playing a crucial role in maintaining vehicle safety and performance. The data analyzed in this study, which led to the root cause determination, primarily originated from customer claims. Among these claims, a notable concern was the off-centre hole in Part Stay Protector A Comp, reflecting one of the Critical To Quality (CTQ) characteristics, with 689 instances of non-conformance. A comprehensive improvement strategy was initiated after identifying root causes through FTA. Utilizing the minimal cut sets (MCSs) method, the analysis underscored that the primary contributor to the fault was identified as (B2) Jig Detection, a critical component within the production process. The Jig Detection system serves as a quality control mechanism, verifying the alignment and conformance of the Part Stay Protector A Comp during production. This strategy focused on minimizing errors in the production method and enhancing the standardization of cup and spot tip classifications to reduce the occurrence of off-centre hole defects. The primary root cause, (B2) Jig Detection, was addressed through an innovative approach that included additional training for labour and introducing a stopper within the Inspection Jig for the Stay Protector A Comp. This strategic enhancement aimed to empower the Inspection Jig to detect off-centre defects, mitigating the recurrence of such issues. Simultaneously, addressing the issue of the nonstandardized cup and spot tip usage classifications aimed to reduce the likelihood of offcentre hole defects reoccurring. The results of these improvements were systematically monitored and controlled over six months, demonstrating a significant reduction in noncentre hole defects. The subsequent results of these improvement efforts profoundly impacted product quality, ultimately reducing the count of off-centre hole defects from 689 to zero, thereby upholding the highest standards in automotive component quality.

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Section: Summary Claim Customer Dan Bar Diagrammentioning

confidence: 99%

Fault Tree Analysis: A Path to Improving Quality in Part Stay Protector A Comp

Sumasto,

Arliananda,

Imansuri

et al. 2023

JESA

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Analysis of undesired event that leads to the initiation of early warning system of Kartini reactor

Syarip¹,

Muhtadan

2020

J. Phys.: Conf. Ser.

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The identification analysis of physical parameters that might provide indication for the emergency condition of the Kartini nuclear research reactor operation, have been done. The aim of this research is to determine the key parameters that needed for early warning system (EWS) of Kartini reactor. The method used is a failure mode and effect analyses to identify the postulated initiating event which can lead to the release of radioactive substances, then event tree and fault tree analyses to determine the probability of radioactive release. The plume stack pattern of the Kartini reactor is then also analysed. The analysis result shows that the initiating event that can lead to a release of radioactive substance from Kartini reactor to the environment is a failure of spent nuclear fuel (SNF) handling system. The probability of radioactive release is in order of 10−6 event/year. The fission product isotopes which have a great probability to be released into the environment in the form of gas are among others: Kr, I and Xe isotopes. The effective distance of radiation monitoring for EWS is in the range: 200 m up to 1000 m.

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The Implementation of Importance Measure Approaches for Criticality Analysis in Fault Tree Analysis: A Review

Cited by 2 publications

References 33 publications

Fault Tree Analysis: A Path to Improving Quality in Part Stay Protector A Comp

Fault Tree Analysis: A Path to Improving Quality in Part Stay Protector A Comp

Analysis of undesired event that leads to the initiation of early warning system of Kartini reactor

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