Quality improvement from disassembly-reassembly experiments

Yisrael Parmet, David M. Steinberg

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

The goal of achieving high quality products has led to an emphasis on reducing variation in performance characteristics. It may often happen that one of the product's components is responsible for much of the observed variation. This research is stimulated by the problem of detecting a component that impairs quality by systematically inflating the variance in a product that is assembled from "interchangeable components." We consider the class of "disassembly-reassembly" experiments, in which components are swapped among assemblies. The specific units used in the experiment are sampled from a large population of units, so it is natural to measure the influence of each factor by its variance component. We present the model for these experiments as a special case of the mixed linear model, compare several estimators for the variance components and consider the problem of testing hypotheses to identify troublesome components.

Original languageEnglish
Pages (from-to)969-985
Number of pages17
JournalCommunications in Statistics - Theory and Methods
Volume30
Issue number5
DOIs
StatePublished - 1 Jan 2001
Externally publishedYes

Keywords

  • Interchangeable components
  • Maximum likelihood
  • Mixed model
  • Restricted maximum likelihood
  • Variance components

ASJC Scopus subject areas

  • Statistics and Probability

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