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An analysis of Taguchi's on‐line quality monitoring procedure for attributes with diagnosis errors
Author(s) -
Borges Wagner,
Ho Linda Lee,
Turnes Osiris
Publication year - 2001
Publication title -
applied stochastic models in business and industry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.413
H-Index - 40
eISSN - 1526-4025
pISSN - 1524-1904
DOI - 10.1002/asmb.442
Subject(s) - taguchi methods , interval (graph theory) , line (geometry) , point (geometry) , quality (philosophy) , computer science , fraction (chemistry) , reliability engineering , expression (computer science) , operations research , statistics , econometrics , mathematics , engineering , combinatorics , chemistry , philosophy , geometry , organic chemistry , epistemology , programming language
The on‐line quality monitoring procedure for attributes proposed by Taguchi, Elsayed and Hsiang for processes in which the fraction defective shifts from 0 at some point are examined under the assumption of diagnosis errors. The renewal reward (economic) approach of Nayebpour and Woodall is used to develop a mathematical expression for the long‐run expected cost per item produced and assessment of the optimum inspection interval is discussed. Copyright © 2001 John Wiley & Sons, Ltd.