The aim of this study is to calculate the risks of automatic checkweigher verification according to the specifications of the international recommendation OIML R51 developed by the International Organization of Legal Metrology (OIML) and to propose an alternative method for performing the verification efficiently.

The risks posed by the OIML R51 method to the consumer and producer are calculated using the Monte Carlo method. The OIML R51 method was used to develop an alternative method with improved efficiency and almost equivalent risks. The alternative method involves calculating the sample mean and standard deviation of the error and makes acceptance/rejection decisions after weighing every 10 times. The tolerances of the alternative method are stepwise with the upper and lower limits. After weighing every 10 times, the sample mean and standard deviation were calculated, and if they were both less than the lower tolerance limit, the test was completed and a pass decision was made. Conversely, when the mean or standard deviation exceeded the upper tolerance limit, the test was completed and a failed decision was made.

The Monte Carlo method was used to calculate the risks and a reduction in the required number of weighings by the alternative method.

The alternative method was applied to an actual instrument to evaluate the efficiency of the method. For the instrument used in this study, the expected value of the required number of weighings is 20 in the weighing range of 400 g or more and one-third of the number stipulated in the international recommendation. This means that significant labor savings are possible.

本研究的目的是根据国际法定计量组织 (OIML) 制定的国际建议 OIML R51 的规范计算自动检重秤验证的风险，并提出一种有效执行验证的替代方法。

OIML R51 方法给消费者和生产者带来的风险是使用蒙特卡罗方法计算的。OIML R51 方法用于开发一种具有更高效率和几乎相同风险的替代方法。另一种方法是计算误差的样本平均值和标准偏差，并在每 10 次称重后做出接受/拒绝决定。替代方法的容差是有上限和下限的。每10次称重后，计算样品均值和标准偏差，如果均小于允许下限，则完成测试并作出通过决定。相反，当平均值或标准偏差超过公差上限时，测试完成并做出失败的决定。

Monte Carlo 方法用于计算风险和替代方法所需称量次数的减少。

将替代方法应用于实际仪器以评估该方法的效率。对于本研究中使用的仪器，在 400 g 或更多的称量范围内，所需称量次数的预期值为 20，且为国际建议规定的数量的三分之一。这意味着可以节省大量劳动力。