Cost-Optimal Multistage Sampling Plans in Statistical Quality Control

Terveer I


Zusammenfassung
Multistage Bayesian decision procedures in statistical quality control are known from attribute sampling. In this paper they are introduced in a more general framework occuring in lot-control by using the theory of Bayesian sequentially planned decision procedures. We show that under sufficiency and transitivity assumptions and monotonicity properties concerning the distributionand cost set-up these Bayes-procedures have(z,c-,c+)-structure which, on one hand, generalizes results of K.-H. Waldmann and, on the other hand, reduces computational effort significantly. Finally, examples taken from attribute sampling and life testing for an outgoing lot are presented.

Schlüsselwörter
Acceptance sampling, backward induction, Bayes procedures, multistage decision procedures, quality control



Publikationstyp
Aufsatz (Zeitschrift)

Begutachtet
Ja

Publikationsstatus
Veröffentlicht

Jahr
1995

Fachzeitschrift
Zeitschrift für Operations Research

Band
41

Ausgabe
1

Erste Seite
359

Letzte Seite
380

Sprache
Englisch

ISSN
0340-9422