QUALITY CONTROL BY THE OPTIMAL CONTROL OF A DISCRETE-STATE STOCHASTIC PROCESS.

Research output: Contribution to journalArticle

Abstract

This paper provides a stochastic control approach to quality control. Results and numerical examples are used to assess the mutual effects of the costs of inspection sampling and the failure of units that have been sold. The approach is an extension of classical statistical quality-control procedures. Firstly, the time dimension in production is explicitly considered and secondly, non-constants, such as variations in production output, production reliability, etc. , with lines, are used in formulating the problems. These problems are then resolved analytically for linear inspection and failure costs and numerically for non-linear costs.

Original languageEnglish (US)
Pages (from-to)927-937
Number of pages11
JournalInternational Journal of Production Research
Volume24
Issue number4
StatePublished - Jul 1986

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Random processes
Quality control
Inspection
Costs
Sampling
Stochastic processes
Optimal control

ASJC Scopus subject areas

  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering

Cite this

QUALITY CONTROL BY THE OPTIMAL CONTROL OF A DISCRETE-STATE STOCHASTIC PROCESS. / Tapiero, Charles.

In: International Journal of Production Research, Vol. 24, No. 4, 07.1986, p. 927-937.

Research output: Contribution to journalArticle

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