Application of Inspection Programs for Risk Assessment by Factory Control Laws

Presently, there is still a high risk of non-compliance with the law in many factories, including cases where factories have risk control measures and have high accident statistics or complaints that come from impacts on communities and the environment at a high rate. The study aims to design and develop a factory inspection program and apply it to analyze and assess compliance risks with factory control laws. Data was collected from 50 factories to collect the risk assessment for compliance with the laws. The program's components consist of inspection to ensure compliance with factory control laws and risk assessment. The study found that the inspection processes and risk assessment compliance with the laws can be improved by using the Lean Work Improvement Principle with the Eliminate, Combine, Rearrange, and Simplify (ECRS) technique, resulting in increased efficiency at an average of 50% and for the conformity verification process by the factory control laws. Applying the factory inspection program according to the factory control laws reduced the audit time by an average of 9.17 hours (Productivity Up to 79%) from using the sample groups. This study has demonstrated the potential and benefits of using a risk assessment program in in-depth analysis for factory control. It can be used as an essential reference for future program development research. The satisfaction assessment results of the sample groups were very high. Besides, experts' comments strongly agreed to implement an inspection program after their usage, instilling confidence in its validity.

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Publication Details

Journal
International Journal on Advanced Science Engineering and Information Technology
Published
2024-10-28
DOI
https://doi.org/10.18517/ijaseit.14.5.19959
Citations
1
Primary Topic
Industrial Vision Systems and Defect Detection
Type
article
Field-Weighted Citation Impact
0.35
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article

Application of Inspection Programs for Risk Assessment by Factory Control Laws

Boontham Harnphanich, Nanthawan Am-Eam, Waranon Kongsong, Lerdlekha Sriratana et al.
1 citations
International Journal on Advanced Science Engineering and Information Technology
Industrial Vision Systems and Defect Detection
0.35
article

Application of Inspection Programs for Risk Assessment by Factory Control Laws

Boontham Harnphanich, Nanthawan Am-Eam, Waranon Kongsong, Lerdlekha Sriratana, Bunphot Tepparit, Kulwarun Warunsin
article en
1 citations

Abstract

Presently, there is still a high risk of non-compliance with the law in many factories, including cases where factories have risk control measures and have high accident statistics or complaints that come from impacts on communities and the environment at a high rate. The study aims to design and develop a factory inspection program and apply it to analyze and assess compliance risks with factory control laws. Data was collected from 50 factories to collect the risk assessment for compliance with the laws. The program's components consist of inspection to ensure compliance with factory control laws and risk assessment. The study found that the inspection processes and risk assessment compliance with the laws can be improved by using the Lean Work Improvement Principle with the Eliminate, Combine, Rearrange, and Simplify (ECRS) technique, resulting in increased efficiency at an average of 50% and for the conformity verification process by the factory control laws. Applying the factory inspection program according to the factory control laws reduced the audit time by an average of 9.17 hours (Productivity Up to 79%) from using the sample groups. This study has demonstrated the potential and benefits of using a risk assessment program in in-depth analysis for factory control. It can be used as an essential reference for future program development research. The satisfaction assessment results of the sample groups were very high. Besides, experts' comments strongly agreed to implement an inspection program after their usage, instilling confidence in its validity.

International Journal on Advanced Science Engineering and Information TechnologyVol. 14(5)
Ramkhamhaeng University (TH)
Openalex Percentile: Top 34%
Industrial Vision Systems and Defect Detection
0.35
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