Application of Process Failure Modes and Effect Analysis for Acceptance Quality Limit in Lot Sentencing
Authors: 
Nafadza Salsabila Reihana, Filscha Nurprihatin, Sri Susilawati Islam, Anak Agung Ngurah Perwira Redi, Michael Nayat Young, Yogi Tri PrasetyoAuthors Info & Claims
Nafadza Salsabila Reihana, Filscha Nurprihatin, Sri Susilawati Islam, Anak Agung Ngurah Perwira Redi, Michael Nayat Young, Yogi Tri PrasetyoAuthors Info & ClaimsPages 212 - 218
Abstract
The quality control process performs an acceptance sampling plan to determine if a batch of products meets quality specifications. Acceptance Quality Limit (AQL) defines the acceptable level of defects, but determining the appropriate AQL rate is challenging due to manufacturing process variations. This study utilized Process Failure Mode and Effect Analysis (PFMEA) to determine the AQL for acceptance sampling plans and evaluate its performance against the current method using Operating Characteristic Curve. The study identified eighteen failure modes from PFMEA, with severity level 7, occurrence level 3, and detection level 3. The results demonstrated that PFMEA can serve as a valuable reference for modeling acceptance sampling plans. Acceptance sampling with AQL effectively assesses defective batches compared to the current method. Incorporating PFMEA in acceptance sampling plans enables companies to enhance their understanding of process performance and potential risks, empowering them to make informed decisions and improve product quality.
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Published In
January 2024
235 pages
ISBN:9798400716652
DOI:10.1145/3647782
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Published: 06 May 2024
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ICCMB 2024
ICCMB 2024: 2024 7th International Conference on Computers in Management and Business
January 12 - 14, 2024
Singapore, Singapore
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