Write in a clean editor, then format for Quality and Reliability Engineering International in one click — DocuGuru applies the official Wiley template with author–year references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.
Quality and Reliability Engineering International is a peer-reviewed journal published by Wiley, covering Advanced Statistical Process Monitoring, Reliability and Maintenance Optimization, Advanced Statistical Methods and Models.
| Publisher | Wiley |
|---|---|
| Reference style | Author–year (Chicago) Author–year — (Smith, 2023) in the text Smith, Ada, Ben Jones, and Cara Lee. 2023. "A Representative Article Title." Quality and Reliability Engineering International 12 (3): 45–58.
Formats any DOI in Quality and Reliability Engineering International style. No sign-up. |
| Publishes research in | Advanced Statistical Process Monitoring Reliability and Maintenance Optimization Advanced Statistical Methods and Models Scientific Measurement and Uncertainty Evaluation Optimal Experimental Design Methods |
| ISSN | 0748-8017 |
| Citation impact (2-yr) | 2.37 |
| h-index | 89 |
| i10-index | 1,897 |
| Total citations | 68,261 |
| Article processing charge | $4,330 |
| Top institutions publishing here | Arizona State University |
| Journal website | onlinelibrary.wiley.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.
The problem of detecting a shift of a percentile of a Weibull population in a process monitoring situation is considered. The parametric bootstrap method is used to establish lower and upper control limits for monitoring percentiles when process measurements have a Weibull distribution. Small percentiles are of importance when observing tensile strength and it is…
Abstract In this paper, an alternative multi‐attribute decision‐making approach for prioritizing failures in failure mode, effects and criticality analysis (FMECA) is presented. The technique is specifically intended to overcome some of the limitations concerning the use of the conventional US MIL‐STD‐1629A method. The approach is based on a fuzzy version of the ‘technique for order…
Abstract In many quality control applications, use of a single (or several distinct) quality characteristic(s) is insufficient to characterize the quality of a produced item. In an increasing number of cases, a response curve (profile) is required. Such profiles can frequently be modeled using linear or nonlinear regression models. In recent research others have developed…
Abstract We propose a change point approach based on the segmented regression technique for testing the constancy of the regression parameters in a linear profile data set. Each sample collected over time in the historical data set consists of several bivariate observations for which a simple linear regression model is appropriate. The change point approach…
Abstract Recently there has been much interest and some controversy concerning the statistical methods employed by Professor Genichi Taguchi of Japan for improving the quality of products and processes. These methods include the use of fractional factorial designs and other orthogonal arrays, parameter design to minimize sensitivity to environmental factors, parameter design for minimizing transmitted…
