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Monitoring process for attributes with quality deterioration and diagnosis errors

Author

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  • Anderson Laécio Galindo Trindade
  • Linda Lee Ho
  • Roberto da Costa Quinino

Abstract

The aim of this paper is to present an online economical quality‐control procedure for attributes in a process subject to quality deterioration after random shift and misclassification errors during inspections. The process starts in control (State I) and, in a random time, it shifts to out of control (State II). Once at State II, the non‐conforming fraction increases according to a non‐decreasing function ψ(z), where z is the number of items produced after a shift. The monitoring procedure consists of inspecting a single item at every m produced items, which is examined r times independently to decide its condition. Once an inspected item is declared non‐conforming, the process is stopped and adjusted. A direct search technique is used to find the optimum parameters which minimize the expected cost function. The proposed model is illustrated by a numerical example. Copyright © 2007 John Wiley & Sons, Ltd.

Suggested Citation

  • Anderson Laécio Galindo Trindade & Linda Lee Ho & Roberto da Costa Quinino, 2007. "Monitoring process for attributes with quality deterioration and diagnosis errors," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 23(4), pages 339-358, July.
    • Handle: RePEc:wly:apsmbi:v:23:y:2007:i:4:p:339-358
    DOI: 10.1002/asmb.675
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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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