A product acceptance decision-making method based on process capability with considering gauge measurement errors

Abstract

An acceptance sampling plan is an essential technique for quality assurance in manufacturing industries to help producers and buyers make appropriate decisions regarding many products. By providing the required sample sizes and critical value, the plan streamlines the quality standards process. The recent attention paid to acceptance sampling plans has tended to emphasize the process capability index while neglecting gauge measurement errors (GMEs), which have a direct impact on the fraction of defectives and decision-making processes to be the detriment of stakeholders. Thus, we provide the required sample size and the critical acceptance value considering GMEs. To demonstrate the impact of GMEs on the assessment of a product’s lot, we present a real case study on a bilateral switch. Information on the required number of samples for the inspection and the acceptance critical value will help lead to a reliable decision.

Keywords:

• Acceptance sampling plan
• fraction of defectives
• process capability index
• gauge measurement errors

Additional information

Funding

This work is supported by the National Research Foundation (NRF) grant funded by the Korea Government (MSIT) under Grant No. [2020R1C1C1011063]. This work was also supported by Institute of Information & communications Technology Planning & Evaluation (IITP) grant funded by the MIST (No. 2020-0-01336, Artificial Intelligence graduate school support (UNIST)). This work was partially supported by the 2020 Research Fund (1.200098.01) of UNIST.