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

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  • Wagner Borges
  • Linda Lee Ho
  • Osiris Turnes

Abstract

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.

Suggested Citation

  • Wagner Borges & Linda Lee Ho & Osiris Turnes, 2001. "An analysis of Taguchi's on‐line quality monitoring procedure for attributes with diagnosis errors," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 17(3), pages 261-276, July.
    • Handle: RePEc:wly:apsmbi:v:17:y:2001:i:3:p:261-276
    DOI: 10.1002/asmb.442
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    Cited by:

    1. L Bessegato & R Quinino & L L Ho & L Duczmal, 2011. "Variable interval sampling in economical designs for online process control of attributes with misclassification errors," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(7), pages 1365-1375, July.

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