On monitoring mixture weibull processes using mixture quantity charts

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2 Scopus citations

Abstract

The study proposes a cumulative quantity control chart, based on the mixture of two components Weibull model, namely MWQ-chart. The design structure of the proposed chart is developed by using the cumulative quantity examined between non-conformities (Q) as the charting statistic. The performance of the proposed MWQ-chart is evaluated in terms of some popular measures like average run length and average length of inspection. The cumulative quantity control chart is discussed as a special case. An extension of the proposal is also suggested in the form of MWQr-chart based on the cumulative quantity between non-conformities until r nonconformities happened in one or both components of the mixture model. The implementation of the proposed chart is also shown on a dataset for practical demonstration.

Original languageEnglish
Pages (from-to)477-496
Number of pages20
JournalQuality Technology and Quantitative Management
Volume12
Issue number4
DOIs
StatePublished - 7 Nov 2015

Keywords

  • Average length of inspection (ALI)
  • Average run length (ARL)
  • CQC chart
  • MWQ-chart
  • Nonconformities

ASJC Scopus subject areas

  • Business and International Management
  • Industrial relations
  • Management Science and Operations Research
  • Information Systems and Management
  • Management of Technology and Innovation

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