[Iefac.list] [Deadline Extended to March 31] IEEE TASE special issue on knowledge based smart manufacturing systems

[Feng Ju]

Deadline Extended to March 31

 

CALL FOR PAPERS 

IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING 

Special Issue on enabling knowledge based smart manufacturing systems 

 

Smart manufacturing is targeted as the next generation of manufacturing by
many national and international strategic development. The increasingly rich
production data, the integration and extensive application of information
technology, and the intelligent data processing and system modeling methods
have collectively enabled smart manufacturing. Building upon them,
manufacturing system modeling, knowledge acquisition, design and real-time
control are the key components. 

 

The central theme of the Special Issue will be emerging opportunities and
future directions in enabling knowledge based smart manufacturing systems.
This special issue will focus on how the promise of smart manufacturing
could be fulfilled by providing knowledge either from models before
operations and/or from data during operations of manufacturing systems. The
goals of the special issue are (1) to present the state-of-the-art research
in science, engineering and methodologies for knowledge based automated
manufacturing systems, and (2) to provide a forum for experts to disseminate
their recent advances and views on future perspectives in the field. Topics
to be covered include, but are not limited to: 

 

. Flexible, agile and customized manufacturing systems based on knowledge
and learning techniques 

. Knowledge based software for smart manufacturing systems 

. Human-machine interaction for manufacturing automation 

. Architectures and paradigms for smart manufacturing systems 

. Design optimization for smart manufacturing systems 

. Methods and principles for manufacturing knowledge acquisition during
runtime 

. Evolution of manufacturing knowledge basis for system redesign and
optimization 

. Performance evaluation, improvement and real-time control and scheduling
of manufacturing systems 

. Applications and case studies including industrial use cases 

 

Both regular papers and short papers, especially technical papers from
industry, are encouraged to submit to this issue. Please see detailed
submission information at
https://www.ieee-ras.org/publications/t-ase/information-for-authors .

 

Important Dates 

. March 31, 2019: paper submission deadline. 

. June 1, 2019: completion of the first round review. 

. September 1, 2019: completion of the second round review. 

. November 1, 2019: final submission due. 

. January 1, 2020: tentative publication date. 

 

Guest Editors

Dr. Birgit Vogel-Heuser, Technical University of Munich, Germany,
<mailto:vogel-heuser at tum.de> vogel-heuser at tum.de

Dr. Feng Ju, Arizona State University, USA,  <mailto:fengju at asu.edu>
fengju at asu.edu

Dr. Yan Lu, National Institute of Standards and Technology, USA,
<mailto:yan.lu at nist.gov> yan.lu at nist.gov

Dr. Cesare Fantuzzi, University of Modena and Reggio Emilia, Italy,
<mailto:cesare.fantuzzi at unimore.it> cesare.fantuzzi at unimore.it

Dieter Hess, 3S-Smart Solution GmbH, Germany, d.hess at codesys.com
<mailto:d.hess at codesys.com>  

 

 

=================================

Feng Ju, PhD

Assistant Professor of Industrial Engineering

School of Computing, Informatics, and Decision Systems Engineering

Arizona State University

P.O. Box 878809
Tempe, AZ 85287-8809
 <https://fengju.engineering.asu.edu/> https://fengju.engineering.asu.edu/

 

 

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