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International Journal of Quality Engineering and Technology is a peer-reviewed journal published by Inderscience, covering Advanced Statistical Process Monitoring, Quality and Supply Management, Fault Detection and Control Systems.
| Publisher | Inderscience |
|---|---|
| Reference style | Author–year (Harvard/AGSM) Author–year — (Smith, 2023) in the text Smith, A., Jones, B. and Lee, C. (2023) 'A representative article title', International Journal of Quality Engineering and Technology, 12(3), pp. 45–58.
Formats any DOI in International Journal of Quality Engineering and Technology style. No sign-up. |
| Publishes research in | Advanced Statistical Process Monitoring Quality and Supply Management Fault Detection and Control Systems Optimal Experimental Design Methods Manufacturing Process and Optimization |
| ISSN | 1757-2177 |
| Citation impact (2-yr) | 0.18 |
| h-index | 10 |
| i10-index | 11 |
| Total citations | 554 |
| Top institutions publishing here | U.S. Air Force Institute of Technology |
| Journal website | www.inderscience.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Much of the research involving simultaneous monitoring of several related quality characteristics that follow a multivariate Poisson distribution has relied on using the normal approximation to the Poisson distribution in order to determine the appropriate control limits. In this paper, evaluation and implementation of MEWMA schemes for count rates using the multivariate Poisson framework itself…
Since the first acceptance sampling plans have been developed 80 years ago, a number of selection principles have emerged. The majority of these principles are characterised by the fact that they look upon producer and consumer as two opposing parties. However, in many occasions, e.g., in final inspection, producer and consumer represent the same party…
Quality improvement experiments often aim to find operating condition that achieves the target value for the mean of a process characteristic, and simultaneously minimises the process variability. For this purpose, Taguchi's techniques of analysis based on signal-to-noise ratios and dual response surface methodology are commonly used to achieve this goal. This paper shows how the…
This article demonstrates how a four parameters (bounded) Johnson SB transformation combined with an EWMA approach can be used to monitor the sample variance of a process. The resulting chart will be called an EWMA-J-S² chart. In this article, the computation of both the control limits and the parameters of the Johnson SB transformation of…
