Digital Transformation


Schedule

25–28 March 2019Omni William Penn Hotel • Pittsburgh, PA, USA


Monday, 25 March 2019

4 p.m.

Registration

5–6 p.m.

Welcome Reception

Tuesday, 26 March 2019

7 a.m.

Registration and Breakfast

8 a.m.

Opening Remarks
Ron Ashburn, Association for Iron & Steel Technology, and Michael Dudzic, ArcelorMittal Dofasco G.P.

8:10 a.m.

Keynote Presentation: Digitalization and the Steel Industry
Dr. Pinakin Chaubal, ArcelorMittal Global R&D
Today, the steel industry is faced with many challenges — the rising use of alternate materials in traditional steel application and the increasing focus on being a responsible keeper of our environment, just to name a few. The industry has always been at the forefront of applying new technology — whether it has been reinventing via continuous casting or advanced process control.  This new age of technologies, which we refer to with myriad names — Industry 4.0, Digitalization, etc. — holds tremendous promise, and the question in front of us is whether we look at these as transformational technologies. The answer seems to be yes — and our challenge is to convert this into reality. How do we ensure that we are able to take full advantage of these technologies while also setting up our base for sustainable growth and adoption of this new generation of technologies? The presentation will look at how the steel industry has been transforming its systems to move into this new age and look at key developments that are important to the steel industry.

9 a.m.

Overview of the Digital Transformation of Industry
Gary Fedder, Carnegie Mellon University
This presentation will define the buzzwords relevant for the digital transformation of industry (a.k.a. Industry 4.0) (e.g., data lake, big data, system integration, AI, smart sensor, machine learning, digital twin) and will include a brief overview of how all these terms tie together, as well as a brief overview of current technologies.    

9:40 a.m.

Break

9:55 a.m.

Creating and Leveraging Digital Ecosystems to Deliver Real ROI
Steve Carlson
Digital journeys seem to be the hot topic of the day, but much of the conversation is centered on the technology. Technology that does not enable real return on investment (ROI) and competitive advantage is akin to that fancy elliptical trainer gathering dust in your basement: cool idea, but didn’t actually deliver any real value. To generate real returns, you’ll need a better plan and a network of partners, an ecosystem, aligned and enabled to help you achieve your goals. We’ll take a quick tour of where there is ROI to be had, how to unlock it, how to sustain by putting digital to good use, and how to create an ecosystem aligned to deliver better outcomes for your customers

10:35 a.m.

Digital Transformation: The Edge Analytics Approach to Industry 4.0
David Kober, iba America LLC, and Andreas Quick, iba AG
It is vital to the success of any business to be aware of the technological disruptions that directly impact the industry in which they serve. In the ever-changing landscape of manufacturing, the current point of emphasis revolves around converging information technology (IT) and operational technology (OT) using the Industrial Internet of Things (IIoT) in order to achieve Industry 4.0. The purpose of this discussion is to characterize a common-sense approach using edge devices and analytics to satisfy the dynamically changing IIoT requirements

11:15 a.m.

Synchronized Real-Time Analysis of Video Data and Measurement Data for Holistic View of Steel Production
Andreas Quick, IBA AG​
Synchronized acquisition of measurement data and video is necessary to digitalize your process as part of your Industry 4.0 strategy. Building a digital twin based on process data together with video data helps to understand and to optimize your process. By integrating machine vision algorithms to the system, video data can be processed on-line in real time. Thus, your process is continuously monitored and data can be gained, for which often no sensors are available. In this presentation, several examples are given, including how data can be archived and reviewed in efforts to tune process parameters to optimize the steel manufacturing process

11:55 a.m.

Lunch

1 p.m.

Autonomous Material Handling System (AGVs and Cranes) in the Steel Industry
Edgardo LaBruna, Janus Automation LLC
In a highly competitive environment, it becomes critical to optimize material flow, minimize movement of the products and increase the available time for material handling equipment. With the implementation of automatic movement using automatic cranes and AGVs, substantial increases in productivity and equipment reliability, reduction of product damage, and improvement of safety can be obtained. This paper discusses the key aspects to take into account for successful implementation, including the selection of the best and most reliable technology, safety considerations, logistics optimization and implementation strategies, including Industry 4.0 and artificial intelligence aspects. Several real-life application cases are discussed, including phase implementations.

1:40 p.m.

Steel Drones

2:20 p.m.

VR and AR Visualization for Digital Transformation
Chenn Zhou, Purdue University Northwest
Virtual reality (VR) and augmented reality (AR) visualization technologies are increasingly playing a key role for digital transformation of steel manufacturing. These technologies, combined with simulation and real-time sensor data, can provide intuitive understandings, enable faster and better decision making for optimized operating conditions and predictive maintenance, as well as deliver better and safer training for current and future employees. The Center for Innovation Through Visualization and Simulation (CIVS) and the Steel Manufacturing Simulation and Visualization Consortium (SMSVC) have been using VR and AR for a variety of projects to improve quality, increase productivity, reduce downtime, and provide safer and more in-depth training. An overview of these technologies and practical examples of implementation will be presented.

3 p.m.

Break

3:15 p.m.

The Role of Real-Time Operational Data in the Digital Transformation of Steel Companies
Perry Zalevsky and Osvaldo Bascur, OSIsoft LLC
A critical aspect of digital transformation will be the availability and management of real-time operational data. This data will be one of the main sources on which analytics, artificial intelligence and machine learning techniques will depend in order to provide improved operational decisions. The role of technology as we

3:55 p.m.

Using AI Modeling for Predictive Quality and Routing​

4:35 p.m.

Cybersecurity Systems and Its Implementation/Practical Application of Cybersecurity Systems​
Johannes Bauer, UL International Germany GmbH

5:15 p.m.

Reception

Wednesday, 27 March 2019

7 a.m.

Breakfast

8 a.m.

Keynote Presentation:  Digital Transformation: Beginning with the End in Mind
R. Joseph Stratman,
Nucor Corp. 
There are many roads a company can take and call it digital transformation. Some deal within the plant: robotics, machine learning, augmented reality, etc. Some deal with human resources: safety awareness, technical training. Some deal with the customer interface, while others deal with business intelligence. The presentation will lay out the various opportunities for steel manufacturers to harness the digital transformation of our industry.

8:50 a.m.

Introduction to Big Data: The Fuel to Digital Transformation

9:30 a.m.

Cloud Computing Overview
Patrick Gallagher, Management Science Associates Inc.
Cloud computing is a commonly used term that encompasses a wide variety of IT services and capabilities. Almost everyone interacts daily with aspects of cloud computing whether they are aware of it or not. This presentation introduces the types of cloud computing available for organizations (i.e., public private, hybrid), identifies standard services (i.e., IaaS, SaaS, PaaS), and discusses the benefits and challenges associated with their use. Specific case studies of cloud computing examples in the metals industry will be provided.

10:10 a.m.

Break

10:30 a.m.

What Is AI and How to Get Started With It in Steel Operations
Mahesh Bhatia, Noodle.ai
The presentation starts with a quick overview of AI technologies. Not knowing where to start is one of the biggest barriers to the adoption of AI technologies in industrial settings. This presentation provides several best practices for getting started in the right manner. Next a framework will be discussed that helps verify if AI can be a viable solution to a specific operational problem. The presentation is concluded by providing an overview of key areas to incorporate AI across the steel industry value chain.

11:10 a.m.

Applications of AI in Steel Manufacturing: Selected Client Cases​

11:50

Lunch

1 p.m.

Practical Examples of Big Data Infrastructure Application in Steel
Humera Malik, Canvass Analytics
It’s been estimated that artificial intelligence (AI) can improve the manufacturing sector’s productivity by 45% by 2035. Learn how AI enables industrial operators and engineers to dive deeper into their operations floor and identify opportunities to not only optimize individual machines but automate the entire manufacturing line. This presentation will include real-world case studies, including how a major North American steel manufacturer optimized and automated its production processes and improved quality of production.

1:40 p.m.

From Buying Scrap to Delivering Coils — How AI Can Enable a Better Steel Industry

2:20 p.m.

Practical Examples of Big Data Infrastructure Application in Steel
Robert Oldroyd, ProSoft Automation Inc.
How much of the data collected is ever “touched” by some type of analytical tool? How much “actionable intelligence” lies buried in the mountains of data that continue to grow at ever-increasing rates? These are two of the questions at the heart of this presentation. The journey described has not been smooth, as each promising technology has come up short in some way. The reasons are not always about the technology, but more about our inability to change the traditional way we approach the collection, storage, organization and analysis of the data. 

3 p.m.

Break

3:15 p.m.

Manufacturing 4.0 for Metals​

3:55 p.m.

Data Analytics Based on Projected Quality Data Enabling Product Optimization and Development of New Steel Grades
Markus Ringhofer, Primetals Technologies Austria GmbH
This presentation shows the implementation of a quality management system where process parameters are collected and production data is measured. The centralized storage of high-resolution process data across the entire production route allows intelligent data analytics for product optimization and development of new steel grades within a short time. Performance is optimized by applying know-how–based rules for quality decisions, monitoring performance by key performance indicators and stabilizing production through advanced statistical process control. An example is presented of how this has been implemented at a producer’s site, including design considerations, and project pros and cons.

4:25 p.m.

Driving Operational and Economic Impact With Real Machine Learning Applications
Aldo Ferrante, ITG Technologies
There is a paradigm shift occurring from reactive to proactive cultures, not just in the C-suite but down to the plant floor, in how maintenance and reliability teams approach the future. This presentation will discuss how the metals industry can get started on its digital transformation journey to drive profitability with machine learning solutions.

Thursday, 28 March 2019

7 a.m.

Breakfast

8 a.m.

Keynote Presentation

8:50 a.m.

Rapid Mill Event Forensics
Pallavi Mohata, SMS group Inc.  With a perfect blend of machine learning techniques and domain knowledge of the steel industry, this presentation will show rapid mill event forensics — a live monitoring system that tracks any abnormal behavior in the steelmaking process. By maintaining the product quality despite these abnormalities, the development aims to increase the efficiency and the productivity of the mill.

9:30 a.m.

Plant-Wide DT Actual Implementation Example: Smart Factory

10:10 a.m.

Break

10:30 a.m.

Digital Transformation in the Steel Industry: Big Data and IoT Impact — Your Digitization Journey

11:10 a.m.

TBD

11:50 a.m.

Lunch

1 p.m.

Digital Transformation Roundtable Discussion

3 p.m.

Adjourn Conference