Call for papers: Journal of Quality Technology Special Issues
1. Special Issue on "Statistical Process Control for Big Data Streams"
This special issue will publish original high-quality papers that deal with all aspects of the statistical process control for big data streams, including but not limited to the following:
- On-line surveillance of high-dimensional and high-frequency big data streams.
- Off-line change detection and abnormality identification in very large data sets.
- Scalable SPC methods using machine-learning techniques.
- Statistical procedures and fusion algorithms for monitoring heterogeneous, structured, or unstructured
Editorial Team
• Fugee Tsung (Editor-in-Chief), Hong Kong University of Science and Technology, email: season@ust.hk.
2. Special Issue on "Reliability and Maintenance Modeling with Big Data"
This special issue aims to publish original high-quality papers focusing on exciting and novel applications of big data in reliability. The topics of interest include, but are not limited to
- Warranty return predictions.
- Field failure predictions.
- Smart maintenance.
- Reliability monitoring.
- Inference for reliability models with big data.
Editorial Team
• Haitao Liao (Co-Guest Editor), University of Arkansas, email: liao@uark.edu. • Emmanuel Yashchin (Co-Guest Editor), IBM Thomas J. Watson Research Center, email: yashchi@us.ibm.com. • Fugee Tsung (Editor-in-Chief), Hong Kong University of Science and Technology, email: season@ust.hk.
3. Special Issue on "Quality Engineering in Advanced Manufacturing"
In an attempt to disseminate cutting-edge developments in quality engineering resulting from the paradigm shift in manufacturing, the Journal of Quality Technology seeks submissions for a special issue on "Quality engineering/techniques for advanced manufacturing" on the following topics:
- Smart sensing scheme for efficient data collection.
- Noncontact data modeling, monitoring, and control.
- Pervasive monitoring and control.
- Data analytics for information capture, representation, extraction, and utilization.
- High-fidelity real-time and predictive modelling and simulation of advanced manufacturing processes (e.g., computer experiments design, modeling, calibration, and optimization).
- Robust mathematical models to simulate advanced manufacturing processes and enable complex control algorithms.
- Design of experiments and statistical quality monitoring for low-volume and large product varieties.
- Uncertainty quantification of manufacturing processes using computer experiments.
- Designing efficient experiments to augment information from high-resolution and low-resolution models.
- Complex shapes modeling, monitoring, inspection, and optimization.
- Data fusion for quality engineering.
Editorial Team
• Bianca Colosimo (Co-Guest Editor), Politecnico di Milano, Email: biancamaria.colosimo@polimi.it. • Qiang Huang (Co-Guest Editor), University of Southern California, email: qiang.huang@usc.edu.
• Fugee Tsung (Editor-in-Chief), Hong Kong University of Science and Technology, email: season@ust.hk
Important Dates
• August 31, 2016: Paper submission deadline
• July 31, 2017: Final decision on paper acceptance
• Late 2017 or early 2018: Publication of the special issue
Please check <
http://asq.org/pub/jqt/index.html> for more detail. Founded in 1969, JQT is the flagship journal of the American Society for Quality (ASQ), and is consistently ranked as one of the most cited journals in the areas of industrial engineering, management science, and statistics.