Construction and Evaluation of Performance Measures for Bayesian Chain Sampling Plan (BChSP-1)

Suresh K. K. and Pradeepa Veerakumari K.

MPRA Paper from University Library of Munich, Germany

Abstract: Bayesian Acceptance Sampling Approach is associated with utilization of prior process history for the selection of Distributions (viz., Gamma Poisson, Beta Binomial) to describe the random fluctuations involved in Acceptance Sampling. Calvin (1984) provides procedures and tables for implementing Bayesian Sampling Plan. Dodge (1955) has proposed Chain Sampling Plan in which Chain Sampling Plan allows significant reduction in sample size and the condition for a continuing succession of lots from a stable and trusted supplier. Usha (1991) has proposed procedure for Bayesian Chain Sampling Plan. Latha (2002) has further studied Bayesian Chain Sampling Plan – 1 involving designing of Bayesian Chain Sampling Plan indexed through AQL, LQL, OAOQL, and MAAPD. The main thrust of this paper is to account for the possibility of dependence among the items of a sample. This paper mainly relates with the procedure for designing Bayesian Chain Sampling Plan indexed with relative slopes at acceptable and limiting quality levels. Tables and Procedures are also provided for the selection of the parameters for the plan with specified h1, h0 and h2 (Relative Slopes). Numerical Illustration are also provided for the shop floor applications of these procedures.

Keywords: BAYESIAN ACCEPTANCE SAMPLING; CHAIN SAMPLING PLAN; BETA-BINOMIAL DISTRIBUTION; GAMMA-POISSON DISTRIBUTION (search for similar items in EconPapers)
JEL-codes: C1 C11 C15 C45 (search for similar items in EconPapers)
Date: 2007, Revised 2007
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Published in Acta Ciencia Indica 4.33(2007): pp. 16-35

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