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 language | English |
|---|---|
| Pages (from-to) | 477-496 |
| Number of pages | 20 |
| Journal | Quality Technology and Quantitative Management |
| Volume | 12 |
| Issue number | 4 |
| DOIs | |
| State | Published - 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