12–13 October 2021 • Renaissance Cleveland Hotel • Cleveland, OH USA
Tuesday, 12 October 2021
Registration and Breakfast
Keynote Presentation: Industrial Digitalization Technologies: An Integrative Overview
Gary Fedder, Carnegie Mellon University
This kickoff presentation will provide an overview of the various digitalization technologies for manufacturing and how these technologies integrate and interact synergistically. Topics include artificial intelligence, machine learning, big data, edge and cloud computing, industrial internet of things, multi-physics hierarchical simulation, digital twin, additive manufacturing, augmented and virtual reality, and industrial cybersecurity. Select research and development examples illustrate applicability to manufacturing from its present to future state.
What Is Digitalization/Industry 4.0?
Derrick Willingham, Commercial Metals Company
Digitalization — Why Now?
James Hendrickson, ArcelorMittal USA
Most of the technologies that comprise digitalization are not new. In fact, some such as artificial intelligence and autonomous robotics have been around for many decades. So, the question is why are companies now embracing and investing in digitalization technologies?
Industrial Internet of Things
Franck Adjogble, SMS group Inc.
The Industrial Internet of Things (IIoT) describes the use of the Internet of Things (IoT) in multiple industries, such as manufacturing (Industry 4.0), logistics, transportation, energy, mining and metals, and other industrial sectors. The Industrial Internet of Things covers, the same way as the Internet of Things, many use cases and applications. The IIoT focuses on optimizing operational efficiency and maintenance, and plays an important role in the integration of information technology (IT) and operational technology (OT). It provides many opportunities for automation optimization, smart manufacturing and asset performance management. IIoT is a new way to provide services to customers and the establishment of a new revenue with an on-demand service model.
Simulation Technology and Analysis
Perry Zalevsky, OSIsoft, LLC
System Integration – Foundation for Digital Transformation
Reginald Snyder, TMEIC
A study of the past and present system architectures, new concepts, and new tools to facilitate data accumulation, dissemination, and analysis
Machine Learning and Steel
Alp Kucukelbir, Fero Labs
Machine learning (ML) has myriad applications in steel. This review begins with an introduction that situates ML with other forms of mathematical modeling. After establishing the basic principles of ML, modern use cases of ML within the steel sector are studied.
Rafal Bachorz, PSI Metals GmbH
Big Data in the Metals Industry
Michael Peintinger, Smart Steel Technologies GmbH
This presentation will look at big data in the metals industry, what it is and how it is useful.
Wednesday, 13 October 2021
James Hendrickson, ArcelorMittal USA
Big Data Analysis
Edgardo La Bruna, Janus Automation LLC
Use of state-of-the-art artificial intelligence technologies to improve the data analysis in the steel industry. Description of key aspects of phased implementation for successful digital transformation and data analysis systems.
David Kober, iba America LLC
Patrick Gallagher, Management Science Associates Inc.
Cloud computing is one of the key pillars of digital transformation. This session defines cloud computing, reviews the history and technologies used, and provides example applications used in the metals industry.
Daniel Pesta, EBNER Furnaces Inc.
This presentation will familiarize the participant with the fundamentals of additive manufacturing. No prior experience or education in this field is assumed. Special emphasis will be given to the technologies' application in metallurgy and metal manufacturing.
Introduction and Application of Augmented Reality Technology for Steel Plants
Eric Almquist, Star Tool & Die Works Inc.
Augmented reality (AR) is a technology of combining reality with digital content that will become the standard method of interacting with digital devices over the coming decade and has already proven its potential in steel plants. This practical presentation will provide an introduction to AR technology, its strengths, its weaknesses and how AR has begun to revolutionize frontline workers' jobs with information technology in steel plants.
Building Defense-in-Depth OT Cybersecurity for the Iron and Steel Industry
Nate Smith, GrayMatter
Iron and steel producers must consistently evaluate the risks and resiliency inherent in their operational technology (OT) cybersecurity strategies. This presentation will review how organizations can assess their ability to identify, protect, detect, respond and recover from a cybersecurity event. The session will also highlight what tools and solutions are available to establish a defense-in-depth approach to protecting valuable, production-floor equipment, assets and other connected devices from threats, including ransomware, malware, supply chain attacks and other threats that have impacted iron and steel organizations.
Digital Transformation for Plant Logistics in Practice
Tony Leikas, PESMEL OY Finland, and Jagannathan Rajagopalan, Pesmel South Asia
To correlate the two-day training program on digital transformation technology toward summing up the practical benefits and applications for logistics practice, the following tools would be relevant:
Automatic storage and retrieval system with digitalized warehouse management system.
Digitalized transport, automated coil cars/shuttle cars with automatic transfer and dispatch system.
In this paper, the above applications and tools are explained, with relevant case studies that could help in enhancing productivity with man-less systems, assuring shortened lead times, total safety and the lowest total cost of ownership.
Workshop and Roundtable