In the classical statistics, for the inspection of a final lot of the product, a decision is made either the lot has good quality or not using an acceptance sampling plan. The acceptance of sampling using the classical statistics assumes that data are determinate. In some situations, the data may imprecise and even intermediate which leads to indecision about the quality of the submitted lot of the product. In this situation, neutrosophic statistics can be applied for the lot sentencing. In this paper, a new attribute sampling plan is proposed using the neutrosophic interval method. The lot acceptance, rejection, and indeterminate probabilities are computed using the neutrosophic binomial distribution at various specified parameters such as sample size and acceptance number. The efficiency of the proposed sampling plan is also discussed. A real example is also added to explain the proposed sampling plan.

Inspection lots that are formed from the products or materials produced from two or more streams of a manufacturing industry may be heterogeneous with respect to some quality characteristic. In such cases, lot quality may not be of the same kind, rather a mixture of several kinds, and, hence, a mixture of distributions is an appropriate model to study the quality of such heterogeneous lots. This paper presents a study on the evaluation of a single sampling plan by attributes through its operating characteristic function under the conditions of mixture of two binomial and Poisson distributions.

This edition contains background on acceptance sampling, a review of the various types of plans, and formulation of nine specific sampling plans. It also features several new developments in continuous sampling plan procedures and evaluations.Contents:Basic Elements of a Sampling Plan Evaluation of the Performance of Sampling Plans Quality Level Indexing Types of Sampling Plans Attributes and Variables of Data and Sampling Plans Single, Double, Multiple, and Sequential Sampling Plans Lot by Lot Sampling Nomographs and Their Use Sampling Tables and Their Use

State-of-the-Art Coverage of the Most Widely Used Acceptance Sampling Techniques Cohesively Incorporates Theory and Practice Reflecting the recent resurgence of interest in this field, Acceptance Sampling in Quality Control, Second Edition presents the state of the art in the methodology of sampling and explores its advantages and limitations. The book also looks at how acceptance control can support applications of statistical process control and help in the evaluation of products. New to the Second Edition Coverage of ISO 2859 and 3951 standards and the ASTM version (E2234) of MIL-STD-105E A new section on credit-based sampling plans Greater emphasis on sampling schemes with switching rules More extensive discussion of accept zero plans, including tightened-normal-tightened (TNT), credit-based, the Nelson monograph for c=0, and MIL-STD-1916 Providing valuable guidelines for choosing appropriate procedures, this comprehensive second edition encompasses the most widely used acceptance sampling techniques. It lucidly provides a broad theoretical understanding of the field while offering all the information needed for the practical application of acceptance sampling plans in industry.