Journal of Quality Technology
Special Issue on “Quality Engineering in
Advanced Manufacturing”
Emergence of advanced manufacturing technologies along
with significant progress in computing and communication has fundamentally transformed
manufacturing to a smart operation scheme that facilitates better management and control of
quality and productivity under a broadly connected and accessible environment. Future manufacturing has increasingly been
characterized as complex, networked cyber-physical systems.
At the product level, complex shapes can be now efficiently manufactured
and product customization allows for short-run or even one-of-a-kind
manufacturing.
At the process level,
smart sensing allows for high-frequency, multi-stream data collection, mixing
signal data to (usually contactless) in-line inspection. At the design level, large-scale
computer experiments can be used to simulate performances of complex products
and processes.
With this dramatic
transformation of manufacturing environment, Quality Engineering, which has a
strong connection with traditional mass production scheme, faces fundamental
challenges. On the other hand, the “data-rich”, dynamic, smart manufacturing environment
also offers tremendous opportunities to develop new-generation methodologies
and techniques to manage and improve quality.
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
- · Non-contact data modeling, monitoring and control
- · Pervasive monitoring and control
- · Data analytics for information capture, representation, extraction, and utilization
- · High fidelity real-time and predictive modeling 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
Paper Submission
All papers must be prepared in
accordance with the Journal of Quality
Technology standards and guidelines, and will be reviewed following the
regular review process of the journal. Submission of a manuscript implies that
the work has not been published before, and is not currently under
consideration for publication elsewhere.
Authors are required to prepare
a cover letter indicating the submission is for the special issue and to submit
the paper in PDF or MS Word via email to: Valerie Funk, Manuscript Coordinator,
ASQ (Email: manuscripts@asq.org).
Editorial Team:
· Bianca Colosimo (Co-guest Editor), Politecnico
di Milano, Email: biancamaria.colosimo@polimi.it
·
Tirthankar Dasgupta (Co-guest Editor), Harvard University,
Email: dasgupta@stat.harvard.edu
·
Qiang Huang (Co-guest Editor), USC, Email: qiang.huang@usc.edu
·
Fugee Tsung (Editor-in-Chief), Hong Kong
University of Science and Technology, Email: season@ust.hk
Important Dates:
· Aug 31, 2016: Paper submission deadline
·
July 31, 2017: Final decision on paper
acceptance
·
Late 2017 or Early 2018: Publication of the
special issue
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