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Abstract
Mixed sampling plans are two‐stage sampling plans in which variable and attribute quality characteristics are used in deciding the acceptance or rejection of the lot. Due to modern quality control systems, mixed sampling plans are widely applied in various stages of production. Use of different sampling plans for different quality characteristics would result in loss in economy, time, and labor. Therefore an attempt has been made to design multidimensional mixed sampling plans (MDMSP). Based on multidimensional quality characteristics, a MDMSP aims at controlling overall quality of a lot or process. The design aspect of a MDMSP is given in detail based on the Poisson model (type B process) in the second stage. Tables and illustration are also provided. CitationSuresh and Devaarul (2000) have designed mixed sampling plans with chain sampling as the attribute plan. CitationSuresh and Devaarul (2003) have developed mixed sampling plans for maximum allowable variance. CitationSuresh and Devaarul (2003) have combined process control and product control to reduce sampling costs. CitationSchilling (1967) has given a method for determining the operating characteristics of a mixed sampling plan including several other measures of the plan. A multidimensional mixed sampling scheme consists of two stages in which several variable and attribute quality characteristics are considered in deciding the acceptance or rejection of the lot. The main advantage of a MDMSP over any other plan is the reduction in the sample size for the same amount of protection.