Dodge-Romig AOQL Sampling Plans for Inspection by Variables – Optimal Solution

AbstractIn this paper we shall deal with the AOQL single sampling plans when the remainder of rejected lots is inspected. We shall consider two types of AOQL plans – for inspection by variables, and for inspection by variables and attributes (all items from the sample are inspected by variables, remainder of rejected lots is inspected by attributes) – see Klufa (1997). These plans we shall compare with the corresponding Dodge-Romig AOQL plans by attributes. From the results of numerical investigations it follows (see Klufa (2008)) that under the same protection of consumer the AOQL plans for inspection by variables are in many situations more economical than the corresponding Dodge-Romig attribute sampling plans (saving of the inspection cost is 70% in any cases). The calculation of these new plans is considerably difficult (in Klufa (2008) is only approximate solution). The problem of finding the optimal sampling plan for inspection by variables we shall solve in this paper by original method