RELATIONAL CHAIN SAMPLING PLANS FOR NON DESTRUCTIVE PRODUCTS THROUGH AOQL AND MINIMUM TANGENT

This article presents a novel algorithm for the Relational Chain Sampling Inspection in order to value the quality of the products from the production environment. It is obvious that whenever the items are expensive or destructive, the customers hope for quality items. The qualities control practitioners' give importance on zero defective products in such production environment. The Operating Characteristics curve of zero plans has poorly differentiate the bad lots from a good one. Hence, the design of Chain Sampling Plans has been suggested by Prof Dodge in 1955. In this work, Relational Chain Sampling Plans are designed and developed by indexing through Average Outgoing Quality Limit (AOQL) which is the maximum outgoing quality of the lots after the inspection. This Relational Chain Sampling Plans are also designed through minimum angle method. The procedure for designing RChSP (0, i) is specified and indexed through standard quality levels. The experimental results assist the practitioners in the quality control process to choose and implement the RChSP (0, i). This work is experimented by simulating the samples in the MATLAB program