Abstract

It is always foreseen to upturn the efficiency of an acceptance sampling plan for lot sentencing. In this research, variable multiple dependent state sampling plan considering the quality cost with rectifying inspection is proposed for normally distributed quality characteristics. The staple objective is to curb the total cost of the lot under inspection and improve the quality of outgoing lots. Tables are constructed for optimal plan parameters by increasing forgoing lots. The behavior of cost parameters on total cost has been investigated. Protection and cost curves are portrayed to show the efficacy of the proposed plan with rectifying single acceptance sampling plan using the cost model. Using the cost model, the proposed plan turns out to be more effectual than the single acceptance sampling plan in terms of sample size, average outgoing quality, and total cost. ci$c_i$$c_i$ has emerged having a substantial effect on total cost trailed by co$c_o$$c_o$ and cf$c_f$$c_f$ with the tiniest effect. Finally, an example is given to demonstrate the proposed plan.

摘要

总是可以预见到会提高批次判决的验收抽样计划的效率。在本研究中，针对正态分布的质量特性，提出了考虑质量成本和整改检验的可变多依赖状态抽样方案。主要目标是控制待检验批次的总成本并提高出厂批次的质量。通过增加前述批次来构建最佳计划参数的表格。研究了成本参数对总成本的影响。描绘了保护和成本曲线，以显示所提出的计划的有效性，并使用成本模型纠正单一验收抽样计划。使用成本模型，就样本量而言，所提出的计划比单一验收抽样计划更有效，C我$C_{我}$$c_i$已经出现对总成本产生重大影响C哦$C_{哦}$$c_o$和CF$C_F$$c_f$以最小的影响。最后，给出一个例子来演示所提出的计划。