A backward recursive technique for optimal sequential sampling plans

A. W. Wortham

20 citations0/0 files storedNaval Research Logistics Quarterly

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Advanced Statistical Process Monitoring Supply Chain and Inventory Management Management and Optimization Techniques

Abstract

Abstract This paper presents a procedure akin to dynamic programming for designing optimal acceptance sampling plans for item‐by‐item inspection. Using a Bayesian procedure, a prior distribution is specified, and a suitable cost model is employed depicting the cost of sampling, accepting or rejecting the lot. An algorithm is supplied which is digital computer oriented.

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References

1960The Compound Hypergeometric Distribution and a System of Single Sampling Inspection Plans Based on Prior Distributions and Costs 1943On the Dependence of Sampling Inspection Plans Upon Population Distributions 1963Sampling Procedures Based on Prior Distributions and Costs 1953The Economics of Sequential Sampling Procedures for Defectives 1960Sampling Inspection as a Minimum Loss Problem

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2014A new acceptance sampling plan using Bayesian approach in the presence of inspection errors 1975A Discrete Economic Multiattribute Acceptance Sampling 1991Note—Optimal Inspection Policy in Sequential Screening 1987Multiobjective Decision Analysis for Acceptance Sampling Plans

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