13th IFAC Workshop on
Intelligent Manufacturing Systems
Oshawa, Ontario, Canada, 12-14 August 2019

PaperPlaza
Paper Submission Site

National Organizing Committee

Chair
Ahmad Barari
University of Ontario Institute of Technology

Vice-Chair
Marcos Tsuzuki
Universidade de São Paulo

International Program Committee

Chair
Benoit Iung
Lorraine University

Vice-Chair
Marco Macchi
Politecnico di Milano

Ahmad Barari, Canada
Alexander Kühl, Germany
Amir Monjazeb, Canada
Andrew Kusiak, United State
Armand Baboli, France
Benoit Iung, France
Christos Emmanouilidis, United Kingdom
Damien Trentesaux, France
David Romero, Mexico
Dmitry Ivanov, France
Edmont Hajrizi, Kosovo
Evgueni Bordatchev, Canada
Franz-Josef Villmer, Germany
Frederic Vanderhagen, France
Hind Bril el Haouzi, France
Hossam Kishawy, Canada
Jana Abou Ziki, Canada
Jay Lee, Unite State
Jose Reinaldo Silva, Brazil
Jill Urbanic, Canada
Jurek Sasiadek, Canada
Marco Macchi, Italy
Marcos Tsuzuki, Brazil
M. T. Ahmadian, Iran
Marek Zaremba, Canada
Paul Valckenaers, Belgium
Paulo Jorge Pinto Leitao, Potugal
Peter Kopacek, Austria
Remus Tutunea-Fatan, Canada
Rajkumar Roy, United Kingdom
Sayyed Ali Hosseini, Canada
Sergio Cavalieri, Italy
Shimon Y. Nof, United State
Yuval Cohen, Israel
Zbigniew Banaszak, Poland

 

Contact
contact@ifacims2019.com

Meeting Topics

The workshop covers all theoretical and application oriented aspects of intelligent manufacturing systems. The list of topics includes but is not limited to:

  • Intelligent support systems for manufacturing decision making
  • Smart quality assurance and intelligent inspection
  • Smart maintenance with predictive and prescriptive capabilities
  • Augmented reality for operator assistance
  • Cobots and innovative robotic technologies and their implementations in shop floors
  • Artificial intelligence for manufacturing processes
  • Vision systems for manufacturing processes
  • Big data analytics for manufacturing systems & processes
  • Machine learning for manufacturing processes
  • Fusion of sensor information for manufacturing processes
  • Additive manufacturing technologies for on-demand production and personalized products
  • Digital twins for decision making in Industry 4.0 era
  • Virtualization and simulation techniques for manufacturing decision making
  • Bio-inspired manufacturing, theory of complexity, swarm intelligence, and self-adaptation
  • Self configuration and self diagnosis IoT methods for manufacturing shop floors
  • Self optimization models for scheduling and sequencing manufacturing shop floor
  • Blockchain technology, resource efficiency and circular economy tracking in Industry 4.0
  • Autonomy, autonomous vehicles, and drones
  • Control algorithms for smart part logistics
  • Self organizing systems and emergent behavior
  • Novel industrial case studies to examine the implementation of “Digital Manufacturing"