Selection of multiple deferred state MDS-1 sampling plans for given acceptable quality level and limiting quality level involving minimum risks

Designing Optimal Multiple Deferred State Mds–1 Sampling Plan using Truncated Poisson Distribution

“…Soundararajan and Vijayaraghavan [16] have developed table of MDS-1 fixed values of the parameter which reduce the risk for np 1 and np 2 values gives the operating ratio p 2 /p 1 . Using Poisson distribution Subramani and Govindaraju [17] has developed the table of MDS-1 with fixed AQL and LQL which reduce the sum of risk.…”

A Novel Lot Sentencing Method by Variables Inspection Considering Multiple Dependent State

“…On the other hand, a skip‐lot sampling plan is an application of continuous sampling to lots rather than to individual units of production, and switching rules can be applied for skipping lot inspection and normal inspection (Kenett and Zacks; Montgomery). Further studies on the MDS plan by attributes can be found in Vaerst, Soundararajan and Vijayaraghavan, and Govindarajua and Subramania . Balamurial and Jun further extended to variables inspection and derived the OC function of the variables MDS sampling plan for unilateral specification limits.…”

“…Further studies on the MDS plan by attributes can be found in Vaerst, 22 Soundararajan and Vijayaraghavan, 25 and Govindarajua and Subramania. 26,27 Balamurial and Jun 6 further extended to variables inspection and derived the OC function of the variables MDS sampling plan for unilateral specification limits.…”

Selection of double sampling attributes plan for given acceptable quality level and limiting quality level

“…For quick switching system QSS-1 of Romboski (1969) also, Govindaraju and Subramani (1991) have constructed similar tables. Minimum r i s k multiple deferred state plans of type MDS-1 of Rembert Vaerst (1981) have also been tabulated in Govindaraju and Subramani (1990b). Since, the minimization of sum of r i s k s is a desirable feature ( a s i t leads to a better shouldered OC curve], one may extend t h i s to the design of double sampling plans involving smaller producer's and consumer's risks.…”