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ISSN: 2375-3927

International Journal of Mathematical Analysis and Applications

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Alternative Attri-Var Quality Control Sampling Inspection Methods

International Journal of Mathematical Analysis and Applications
Vol.5 , No. 2, Publication Date: May 31, 2018, Page: 44-48

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Authors

[1]	Malik Beshir Malik, Department of Mathematics and Computer Science, University of Maryland Eastern Shore, Princess Anne, USA.

Abstract

Sampling inspection methods used in industrial quality control normally take the form of inspection-by-attributes or inspection-by-variables methods. Inspection-by-attributes sampling plans are noted for their robustness with respect to any distributional form of the characteristic of an assumed continuous distribution (usually a normal distribution) and therefore are not necessarily robust as departures from this assumed distribution are encountered in practice but do permit relatively smaller sample sizes than would be required under an equivalent attributes sampling plan. In this paper we provide a new method for sampling inspection. The sample size levels and robustness of the new method lies in between the two classical inspection-by-variables and inspection-by-attributes sampling plans. The new method will be designed and explained, and its equivalence to the classical methods will be established. The sample size performance is thoroughly investigated and compared for the traditional and equivalent new methods. Their robustness will be discussed at a preliminary level.

Keywords

Equivalence of Plans, Robustness, Sample Size Performance, Attri-var Sampling Plans, Batch Inspection

Reference

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