Title: Development of multiple deferred state sampling plan based on minimum risks using the weighted Poisson distribution for given acceptance quality level and limiting quality level

Authors: K. Subramani; V. Haridoss

Addresses: Department of Statistics, Government Arts College, (affiliated to Bharathiar University, Coimbatore) Coimbatore – 641018, India. ' Science and Humanities Department (Mathematics Division), Kumaraguru College of Technology, (affiliated to Anna University of Technology, Coimbatore) Coimbatore – 641049, India

Abstract: Since the first acceptance sampling plans have been developed 80 years ago, a number of selection principles have emerged. The majority of these principles are characterised by the fact that they look upon producer and consumer as two opposing parties. However, in many occasions, e.g., in final inspection, producer and consumer represent the same party and, therefore, the used sampling plan should not make an attempt to discriminate between their interests. In this case the interest is to avoid wrong decisions, i.e., reject product of sufficient quality and accept product of insufficient quality. Thus, the natural objective in these cases is to use overall risk for a wrong decision as optimisation criteria. Optimum result can be arrived further by the weighted Poisson distribution. In this paper, a table and procedure are given for finding the multiple deferred state-(c₁, c₂) sampling plan involving minimum sum of producer's and consumer's risks for specified acceptance quality level and limiting quality level using the weighted Poisson distribution. This is the case with so called 'multiple deferred state-(c₁, c₂) sampling plan for given acceptance quality level and limiting quality level involving minimum risks using the weighted Poisson distribution'.

Keywords: acceptable quality level; AQL; attribute plans; limiting quality level; LQL; multiple deferred state sampling plans; weighted Poisson distribution; WPD; minimum risks.

DOI: 10.1504/IJQET.2012.049699

International Journal of Quality Engineering and Technology, 2012 Vol.3 No.2, pp.168 - 180

Received: 25 Jul 2012
Accepted: 20 Aug 2012
Published online: 30 Aug 2014 *

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