SFC 2019

The Second International Workshop on Smart Factory Convergence (SFC 2019). Co-Located with the 18th International Conference on Computational Science and Its Applications (ICCSA 2019), http://www.iccsa.org, July 1 - 4 2019, Saint Petersburg, Russia

Today, a number of trends such as the internet of things (IoT), digital manufacturing and cyber-physical systems are considered key elements of the definition and implementation of Industry 4.0. Technological advancements in the ability to collect, transfer and analyze vast amounts of data very rapidly are at the core of this trend. Closely related, smart factory is a concept that aims at integrating these new technologies to rapidly adapt and respond to changes in the markets’ demands for high-quality products. In practice, smart factories lie at the core of both, Industry 4.0 and smart manufacturing.

In other words, smart factory, also known as Industry 4.0, refers to the next-generation manufacturing paradigm that aims to make use of smart sensors, cloud computing infrastructures, artificial intelligence or machine learning, advanced robotics to improve manufacturing productivity and cost efficiency. As one of the key enablers for smart factory, the Internet of Things (IoT) enables integration of physical objects with digital systems by offering connectivity of manufacturing devices and systems through sensors or augmented reality. The objective of this workshop is to collect cutting-edge research works focused on smart factory convergence. The workshop provides a multi-disciplinary collaborative forum for researchers and practitioners to submit papers with novel ideas, innovative solutions, and research results related to the field of the smart factory convergence.

Topics of interest include, but are not limited to, the following scope:

• Smart factory test beds and best practices
• Manufacturing Cyber-Physical Systems (CPS)
• Emerging sensing technologies for smart factory
• Industrial IoT (IIoT) interoperability for smart factory
• Sensor-enabled manufacturing process monitoring and control
• Manufacturing intelligence and manufacturing informatics
• Advanced diagnostics, prognostics and asset health management
• Embedded systems for smart factory
• Augmented reality and wearable computing for greater equipment or process awareness
• Machine-to-machine communication standards for smart factory
• Human machine interactions for smart factory
• Cybersecurity for smart factory systems
• Smart inspection systems
• Cloud-based applications for smart factory
• Recent Advances in 5G for IIoT
• 3D Printing in Manufacturing
• Smart Factory Modeling and Simulation


Prof. Jongpil Jeong
PI, Department of Smart Factory Convergence (http://smartfactory.skku.edu)
Mobile: 010-9700-6284 (Office: 031-299-4260)
E-mail: jpjeong@skku.edu
Facebook: http://www.facebook.com/jpjeong
Office: 27526B, 2nd Eng. Buidling, Sungkyunkwan University, Suwon, Korea