This study proposes a new acceptance sampling scheme, namely mean ranked sampling scheme, for efficient decision of statistical quality control. The proposed scheme is based on ranked set sampling under exponential distribution for acceptance or rejection of a lot. Two-point method on operating characteristic function is used for the derivation of plan parameters assuming approximation of exponential to normal distribution. The minimum sample sizes and acceptance numbers are obtained satisfying producer’s and consumer’s risk at certain levels of acceptable (AQL) and tolerable quality (RQL). The main advantages of proposed scheme are (i) data is selected by using free cost sampling method from a large lot and (ii) all units of selected lot are used in making decision. The probability & distribution functions for proposed mean ranked set sampling plan are derived. The OC values comparison with simple random sampling is presented. It is shown that the tables presented here can be used if mean life of units are chosen as a criterion.

本研究提出了一种新的验收抽样方案，即平均排序抽样方案，用于统计质量控制的有效决策。所提出的方案基于指数分布下的排序集抽样来接受或拒绝批次。使用操作特征函数的两点方法推导计划参数，假设指数分布近似于正态分布。最小样本量和可接受数量是在某些可接受 (AQL) 和可容忍质量 (RQL) 水平下满足生产者和消费者风险的。所提出方案的主要优点是（i）使用免费成本抽样方法从大批量中选择数据，以及（ii）所选批量的所有单位都用于决策。概率 & OC 值与简单随机抽样的比较被提出。结果表明，如果选择单位的平均寿命作为标准，则可以使用此处提供的表格。