PRODUCTION LEARNING AND QUALITY CONTROL.

Research output: Contribution to journalArticle

Abstract

This paper establishes a linkage between quality control, the production learning process and the firm's propensity to use quality control under various conditions. A stochastic dynamic programming approach together with a numerical example are used to compute quality control policies and justify the intensive use of quality control in manufacturing. Although the problem is formulated in general terms, a specific application using a curtailed sampling technique for quality control is solved completely. This solution is also used to discuss the various conditions under which quality control is used and the relationships of the quality control policy with learning and experience.

Original languageEnglish (US)
Pages (from-to)362-370
Number of pages9
JournalIIE Transactions (Institute of Industrial Engineers)
Volume19
Issue number4
StatePublished - Dec 1987

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Quality control
Dynamic programming
Sampling

ASJC Scopus subject areas

  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering

Cite this

PRODUCTION LEARNING AND QUALITY CONTROL. / Tapiero, Charles.

In: IIE Transactions (Institute of Industrial Engineers), Vol. 19, No. 4, 12.1987, p. 362-370.

Research output: Contribution to journalArticle

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