FMEA-Based Risk Assessment in Filter Tank Production

Quality assurance is an action to maintain customer satisfaction. As a prominent fabrication producer, Firm A, which receives regular orders from corporate clients, has been challenged with maintaining quality consistency during the production process of filter tanks. This study aims to identify risks and evaluate failures that occur during the filter tank production process based on the Failure Mode and Effects Analysis method. The FMEA stage was started with a walkthrough survey to identify defects, followed by brainstorming sessions with two expert respondents to determine the severity, occurrence, and detection score. Subsequently, the Risk Potential Number score was calculated. Research findings distinguished three types of defects during production stages, namely welding, asymmetric, and painting. Based on risk quantification, it was found that the highest defect score, 392, was attributed to the painting failure category, characterized by excessively thick paint results. This finding was followed by the second-highest score of 336, and the third with value of 294 as failure of asymmetric joints. The practical implication in complementary of the FMEA finding showed that systematic training, audits, and briefings are suggested to address the issues that cause the highest number of failures on fabrication process.

Authors

Publication Details

Journal
International Journal of Recent Technology and Applied Science (IJORTAS)
Published
2025-09-26
DOI
https://doi.org/10.36079/lamintang.ijortas-0702.915
Primary Topic
Risk and Safety Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

FMEA-Based Risk Assessment in Filter Tank Production

Nina Aini Mahbubah, Abdul Muid, Dini Fitriani
International Journal of Recent Technology and Applied Science (IJORTAS)
Risk and Safety Analysis
article

FMEA-Based Risk Assessment in Filter Tank Production

Nina Aini Mahbubah, Abdul Muid, Dini Fitriani
article en

Abstract

Quality assurance is an action to maintain customer satisfaction. As a prominent fabrication producer, Firm A, which receives regular orders from corporate clients, has been challenged with maintaining quality consistency during the production process of filter tanks. This study aims to identify risks and evaluate failures that occur during the filter tank production process based on the Failure Mode and Effects Analysis method. The FMEA stage was started with a walkthrough survey to identify defects, followed by brainstorming sessions with two expert respondents to determine the severity, occurrence, and detection score. Subsequently, the Risk Potential Number score was calculated. Research findings distinguished three types of defects during production stages, namely welding, asymmetric, and painting. Based on risk quantification, it was found that the highest defect score, 392, was attributed to the painting failure category, characterized by excessively thick paint results. This finding was followed by the second-highest score of 336, and the third with value of 294 as failure of asymmetric joints. The practical implication in complementary of the FMEA finding showed that systematic training, audits, and briefings are suggested to address the issues that cause the highest number of failures on fabrication process.

International Journal of Recent Technology and Applied Science (IJORTAS)Vol. 7(2)
Openalex Percentile: Top 71%
Risk and Safety Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

FMEA-Based Risk Assessment in Filter Tank Production — Nina Aini Mahbubah, Abdul Muid, et al. · International Journal of Recent Technology and Applied Science (IJORTAS) (2025) | TGRS Research Map | TGRS