SPECIAL FORUM ON JQT 50th Anniversary Research Paper
50 years of the Journal of Quality Technology By Willis A. Jensen, Douglas C. Montgomery, Fugee Tsung and Geoffery G. Vining
In celebration of the 50th anniversary of the Journal of Quality Technology, we take a historical look at the articles that have appeared in the journal. We highlight some of the key articles across the decades and provide some historical analysis on those that have appeared. This analysis illustrates some trends in the quality technology field and gives some insight about its future focus.
Discussion By Rob Goedhart, Marit Schoonhoven and Ronald J. M. M. Does
Rejoinder By Willis A. Jensen, Douglas C. Montgomery, Fugee Tsung and Geoffery G. Vining
REGULAR RESEARCH PAPERS
Process tracking and monitoring based on discrete jumping model By Chao Wang and Shiyu Zhou
The jumping model has been used as an effective tool in tracking and detecting changes for continuous statistics in various applications. In this article, we extend the current jumping model from the continuous case to the discrete case to track and monitor the changes in attribute data.
Some perspectives on nonparametric statistical process control By Peihua Qiu
Statistical process control (SPC) charts play a central role in quality control and management. Many conventional SPC charts are designed under the assumption that the related process distribution is normal. In this article, we give some perspectives on issues related to the robustness of conventional SPC charts and to the strengths and limitations of various nonparametric SPC charts.
Response modelling approach to robust parameter design methodology using supersaturated designs By Kashinath Chatterjee, Krystallenia Drosou, Stelios D. Georgiou and Christos Koukouvino
In recent years, both robust parameter designs (RPDs) and supersaturated designs (SSDs) have attracted a great deal of attention. In the present article, a combination of the above two techniques is considered. More precisely, we propose a construction of an effective SSD along with an analysis method in order to deal with the significant problem of the robust parameter design methodology (RPDM).
Robust split-plot designs for model misspecification By Chang-Yun Lin
Many existing methods for constructing optimal split-plot designs, such as D-optimal or A-optimal designs, focus only on minimizing the variance of the parameter estimates for the fitted model. However, the true model is usually more complicated; hence, the fitted model is often misspecified. If significant effects not included in the model exist, then the estimates could be highly biased. Therefore a good split-plot design should be able to simultaneously control the variance and the bias of the estimates. In this article, I propose a new method for constructing optimal split-plot designs that are robust under model misspecification.
Online profile monitoring for surgical outcomes using a weighted score test By Liu Liu, Xin Lai, Jian Zhang and Fugee Tsung
In the past decade, risk-adjusted control charts have been widely used to monitor surgical outcomes. However, most existing approaches focus on monitoring shifts in location parameters and may not be able to detect a scale change that is also likely to occur in surgical data. In this article, we derive a weighted score test statistic to construct an exponentially weighted moving average chart and propose a new charting method to simultaneously monitor location and scale parameters. This new chart may be applied to monitoring surgical performance.
Dimension reduction for a multivariate time series process of a regenerative glass furnace By Xuan Huang and Davit Khachatryan
Conventional dimension-reduction methods for multivariate time series have been based on the inherent assumption that the noise is white and therefore uninformative. While this assumption may have been realistic for a number of applications, it is violated in the case of a large industrial furnace that we discuss in this article.