An analysis of Taguchi's on-line quality monitoring procedure for attributes with diagnosis errors

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...

Full description

Saved in:
Bibliographic Details
Published inApplied stochastic models in business and industry Vol. 17; no. 3; pp. 261 - 276
Main Authors Borges, Wagner, Ho, Linda Lee, Turnes, Osiris
Format Journal Article
LanguageEnglish
Published Chichester, UK John Wiley & Sons, Ltd 01.07.2001
Wiley
Subjects
Applications
diagnosis errors
Exact sciences and technology
Insurance, economics, finance
Mathematics
Probability and statistics
Sciences and techniques of general use
Statistics
Taguchi's on-line monitoring procedure
Statistical method
Economics
Fractional process
Mathematics
Error estimation
Econometrics
Online AccessGet full text

Cover

More Information
Summary: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.
Bibliography:ArticleID:ASMB442
ark:/67375/WNG-V0G99RQ1-7
istex:FB0AE9CA24104692599D49D3B3FFA9E4E3D4D865
ISSN:1524-1904
1526-4025
DOI:10.1002/asmb.442