Abstract
Measurement system analysis guarantees the reliability of acquired data. Although much research has been performed
regarding variable measurement system and Gage R&R has been comprehensively employed across many companies,
there is relatively little attention that has been paid to binary measurement system, which is considered to be more
practical and efficient. Proportion of agreement is generally utilised to evaluate binary measurement system in the
traditional AIAG method. As a consequence, sample size should be more reasonably determined, in which process the
number of parts, appraisers, and trials are of key importance. However, this critical issue has not been profoundly
investigated as yet. In the present study, the number of parts is determined through the plot of length of confidence
interval, and an alternative method is introduced to choose the number of appraisers and trials based on the majority
voting rule. This is considered to be more sensible than the prevalent rule, in which two appraisers and two trials are
usually chosen and an agreement is made only when the conclusions of both appraisers and trials are the same. In
addition, a data set is analysed using the proposed method, and the results indicate that it is more rational.
