Modeling errors in sampling inspection: Effect of degraded performance

  • Steven X Jiang
  • , Arun Srinivasan
  • , Anand K. Gramopadhye
  • , William G. Ferrell

Research output: Contribution to journalArticlepeer-review

Abstract

Studies have shown that inspection is not error-free and is systematically influenced by such factors as time available, the payoffs, complexity of the task, the decision goal, defect rate, and so on. This study shows how models of decision-making can be used to obtain better designs of sampling plans in the presence of human inspection error. This study also outlines a methodology to develop sampling plans under different levels of degraded human performance. Results revealed that sampling plans are sensitive to decision goals and the level of degradation.
Original languageEnglish
Pages (from-to)67-74
Number of pages8
JournalQuality Engineering
Volume15
Issue number1
DOIs
StatePublished - Jan 1 2002

Keywords

  • Human factors
  • Quality control
  • Sampling plan
  • Visual inspection

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