- Defining the IoT Reality: What does a retrofitted factory look like in 2018?
- Ease of Implementation: How to ease the transition into the realm of Industrial IoT
- Legacy Systems: Ensuring optimal Industrial IoT integration
- Standardization: Enhancing key standards across all layers of integration - Production equipment, sensors, and IT systems for data storage and analytics
- Measuring Production Optimization: How do increased sensing capabilities across a manufacturing plant translate into higher production rates at lower costs?
Moderator:
Thomas Burke, President, OPC Foundation
Panelists:
Nihar Satapathy, SVP Strategy & Markets, thyssenkrupp
Mike Luzzi, Director of Global IT Innovation, PepsiCo
Sanjay Mehta, Manager, Computational Modeling Center R&D, Air Products
Stephen Fulton, Director of Advanced Manufacturing, Medtronic
Seth McDonald, QMIO Digital Leader, GE Aviation
Jason Krantz, Director, Business Analytics & Insights, Weill-McLain
Erik Nistad, Chairman, MESA International
- Smart Connected Manufacturing: How real-time unified visibility into factory operations reduces downtime and improves quality, productivity and flexibility
- Performance Assessment: Rapidly quantifying manufacturing capabilities to accelerate a manufacturer's journey to outperform
- Role-Based Apps: Gaining intelligence into specific phases of the manufacturing process, providing the ability to react in real time
- Achieving better plant forecasting and productivity through IoT
- Improving warehousing using AR/VR technologies
- Analyzing real-time Industrial IoT insights to distribute resources more effectively
Nihar Satapathy, SVP Strategy & Markets, thyssenkrupp
Attendees will break up into groups and will discuss key questions presented by the round table facilitator. Internal discussions will last 40 minutes to which the Conference Chair will invite Discussion Moderators to summarize discussion to the entire group.
Group A- Smart Manufacturers' Transition from Product to Service
Moderator:
Bic Stevens, Managing Director, Hamilton Creek
Group B- Monetize What Matters - Capitalizing on the Industrial IoT Opportunity
Moderator:
Matthew Dunkley, Director, Strategy & Product Management, Software Monetization, Flexera
Group C- Customization of Production Modes
Moderator:
Kevin Christenson, Global Manufacturing IT, Ford
- Linking design, engineering, manufacturing and supply chain into one globally scalable intelligent system
- Utilizing data analytics to predict, adapt and react more quickly and effectively
- Empowering decision makers with real-time visibility and deep operational intelligence
David Bishop, SVP - Head of Research, Hitachi Solutions
- Analyzing the ROI of Industrial IoT solutions in pilot projects to decipher clear cost-saving benefits
- How can Industrial IoT successes from pilot projects be adopted across the entire production line?
- Scaling up Industrial IoT implementation as cost effectively as possible
Owen Gwynne, Senior Programmer, Teel Plastics
TRACK A: PREDICTIVE MAINTENANCE
BREAKOUT ROUNDTABLE: How Predictive Maintenance is Enhancing Product Value & Customer Experience
- What are the key steps to moving towards connected products?
- How does predictive maintenance impact customer experience?
- What are the added costs vs. benefits of predictive maintenance?
- How can predictive maintenance be economically justified?
Moderator:
Alexander Nazarov, Functional Excellence Manager, Cummins
TRACK B: AI APPLICATIONS IN MANUFACTURING
BREAKOUT ROUNDTABLE: Beyond the AI Hype: What are the Key AI Applications Inside a Manufacturing Plant?
- Can AI really crunch production time?
- What are other key applications of AI technologies technologies in a manufacturing environment?
- How does AI impact predictive maintenance programs?
- What are the added costs vs. benefits of implementing AI across a manufacturing plant?
This session will be moderated by Kalypso
TRACK A: PREDICTIVE MAINTENANCE
CASE STUDY: Analytics Based Manufacturing on Electrical Discharge Machining (EDM) – Defect Prevention and Condition Based Maintenance
- Utilizing single signal data for adaptive machining, analytics, and condition based maintenance
- How pattern recognition can be used to optimized machining solutions
- Improved machine health and prevention of defects with condition based maintenance
Seth McDonald, QMIO Digital Leader, GE Aviation
TRACK B: AI APPLICATIONS IN MANUFACTURING
How AI Deep Learning Capabilities are Helping Manufacturers Spot Potential Production Disruptions & Preventing Them
- Providing how AI is boosting production up-time
- Demonstrating the impact of AI deep learning in reducing energy costs and emissions
- Deploying AI to improve human-robot collaboration, resulting in enhanced safety for the manufacturing workforce
Jerry Hawk, CEO & Managing Partner, Capax Global
TRACK A: PREDICTIVE MAINTENANCE
CASE STUDY: Deploying a Condition-based Maintenance Strategy to Prevent Asset Failures, Detect Quality Issues & Improve Operational Processes
- Accessing multiple data sources in real time to prevent asset failures and reduce maintenance costs
- Predicting where, when and why asset failures are likely to occur
- Quickly identifying primary variables as part of root-cause analysis
Gilbert Meyer Gauen, Director, Asset Management, National Oilwell Varco
TRACK B: AI APPLICATIONS IN MANUFACTURING
CASE STUDY: How Machine Learning is Revolutionizing the Accuracy of Predictive Maintenance Programs
- Utilizing machine learning to improve the accuracy of failure thresholds identified in pilot predictive maintenance programs
- Using machine learning to analyze the outcome of each prediction, adjusting them continuously over time
- Measuring the results and comparing the effectiveness of a predictive maintenance program before and after implementing machine learning
TRACK A: CYBERSECURITY & BLOCKCHAIN
Optimizing Encryption Key Management to Increase Cybersecurity Across the Manufacturing Line
- Preventing, Detecting and responding to cyber treats
- How endpoint protections can enhance cyber attack forensics
- Spotting anomalous and malicious activity as soon as it begins
Justin Montalbano, Cybersecurity Technical Manager, Aptiv
TRACK B: EDGE, FOG & CLOUD COMPUTING APPLICATIONS IN MANUFACTURING
Turning massive Amounts of machine-based data into Actionable intelligence Closer to the Data Source in a Manufacturing Plant
- How the role of edge computing is changing from sending data to the cloud to acting on data at the machine location
- Defining key applications of edge computing in a manufacturing setting
- Discerning the difference in results between edge computing vs. fog computing
Chet Arciuch, Director of Lean Manufacturing & Manufacturing Solutions, Optimas
TRACK A: CYBERSECURITY & BLOCKCHAIN
Identifying Key Cyber Threats across the Manufacturing Line & the Right Tools to Combat Them
- Identifying vulnerability in the endpoints of a smart manufacturer
- Detecting cyber intrusions and treating them effectively
- Evaluating different cybersecurity vendor offerings to understand what works best
Austin Bruck, IT Systems Administrator, Hatch Stamping Company
TRACK B: EDGE, FOG & CLOUD COMPUTING APPLICATIONS IN MANUFACTURING
Utilizing Edge & Cloud Computing to Fully Realize the Value of Data Overload Generated by a Smart Factory
- Understanding key edge applications in scenarios of low latency or bandwidth constraints
- Cloud computing as an essential tool in managing vast amounts of data across plants
- How edge computing are enabling real-time data analytics in manufacturing plants
This session will be presented by a senior representative from Wind River
TRACK A: CYBERSECURITY & BLOCKCHAIN
ROUNDTABLE DISCUSSION: Defining Key Cybersecurity & Blockchain Applications for the Manufacturing Supply Chain
- Using advanced cryptographic techniques and decentralized networks to build a trusted relationship among factories, suppliers, partners and customers
- Leveraging blockchain to improve payment and solve integration issues
- What are the limits to blockchain implementation across the manufacturing supply chain?
James Barkley, Manufacturing Chair, Midwest Big Data Hub
TRACK B: EDGE, FOG & CLOUD COMPUTING APPLICATIONS IN MANUFACTURING
PANEL: Early Outcomes of Deploying Edge, Fog & Cloud Computing across Plants
- How do edge, fog, and cloud computing converge?
- How do edge, fog and cloud computing impact predictive maintenance?
- What capabilities are enabled or enhanced through the use of edge computing?
- What is the biggest paradigm shift to manufacturing operations as a result of edge computing?
Moderator:
Kevin Stanley, Partner & Principal Software Engineer, OCI
Panelists:
Alexander Nazarov, Functional Excellene Manager, Cummins
Terri Lewis, Technology Director, Caterpillar
Bart Pernai, Center Assurance Center Operations Manager, Nalco Water
- Identifying key 2018 smart manufacturing trends and technologies and the gap between where we are vs. where we need to be
- The role of Industrial IoT in moving towards the customization of production modes
- From product to service: Opening new business models and markets through Industrial IoT
Edward Rodden, CIO, Sugar Creek
- How real-time analytics are enabling remarkable productivity gains
- Increasing energy efficiency through real-time data analytics
- How manufacturers are enhancing equipment performance through access to real-time insights
This session will be presented by Salesforce
- Minimizing product quality and reliability issues to meet customer delivery schedules
- Optimizing spare parts inventory to reduce costs associated with stockouts and overstocks
- Preempting warranty claims to increase customer satisfaction
Gustavo Chohfi, Director, Manufacturing Quality, Whirlpool
TRACK A- ENHANCED AUTOMATION: SMART COLLABORATIVE ROBOTS
BREAKOUT ROUNDTABLE: How Machine Learning & Advanced Analytics are Optimizing Robot Process Automation
- What are the opportunities for productivity gains in applying machine learning to automated production lines?
- What is the impact of smarter manufacturing robots in workforce safety in factories?
- How are manufacturers using advanced analytics to learn from equipment failures, quality issues, and safety hazards across manufacturing lines?
Moderator:
Melissa Cragin, Executive Director, Midwest Big Data Hub
TRACK B- THE CONVERGENCE OF MANUFACTURING WITH SUPPLY CHAIN, PRODUCT DESIGN & ENGINEERING
BREAKOUT ROUNDTABLE: How Can Industrial IoT Revolutionize Interaction & Input across Product Design, Engineering, Supply Chain, Manufacturing & Field Services?
- How is Industrial IoT improving the flow of information from supply chain, field service and the production line back into product design and engineering? levels meet internal
- How can Industrial IoT help manufacturers adjust production to customer demand more accurately?
- How can Industrial IoT help manufacturers ensure inventory levels meet internal manufacturing demand?
- What are the key outcomes of feeding data from field service common product issues back into product design and engineering?
This session will be moderated by a senior representative from Wind River
TRACK A- ENHANCED AUTOMATION: SMART COLLABORATIVE ROBOTS
A World of Connected Smart Collaborative Robots across Manufacturing Lines
- How manufacturing robots are learning from failure patterns through machine learning
- Calculating how smart collaborative robots contribute to productivity gains
- Assessing new capabilities smart collaborative robots are bringing to the manufacturing process
TRACK B- THE CONVERGENCE OF MANUFACTURING WITH SUPPLY CHAIN, PRODUCT DESIGN & ENGINEERING
How Convergence Can Drive Outcomes That Matter in the World of IoT
- How the convergence of of multiple emerging technologies like IoT platforms, big data, analytics, machine learning and security solutions in the cloud is transforming manufacturing
- The irruption of automation techniques across the supply chain processes and the continuous delivery and integration of enabling technology solutions
- How seamless integration across the islands of IoT layers can give first hand visibility into actionable insight across the automated supply chain
E.G. Nadhan, Chief Technology Strategist - Central Region, Red Hat
TRACK A- ENHANCED AUTOMATION: SMART COLLABORATIVE ROBOTS
CASE STUDY: How a Leading Manufacturer is Implementing Machine Learning to Optimize Automation
- How machine learning is enabling collaborative robots to optimize production
- Gauging the impact of smart robots on productivity gains
- Demonstrating how smart robots are taking workforce safety to new heights
Aparna Jue, Product Manager, Stanley Black & Decker
TRACK B- THE CONVERGENCE OF MANUFACTURING WITH SUPPLY CHAIN, PRODUCT DESIGN & ENGINEERING AND FIELD SERVICE
CASE STUDY: How a Manufacturer Is Using Industrial IoT to Optimize Aftermarket Sales and Field Service
- Feeding manufacturing and field service data back into aftermarket sales to optimize product maintenance
- Optimizing material selection through manufacturing and field service advanced analytics
- Utilizing Industrial IoT to improve the flow of information from product design and engineering into manufacturing and aftermarket sales
Gahl Berkooz, Global Chief of Analytics - Connected Consumer Experience, GM
TRACK A- AR & VR APPLICATIONS IN A MANUFACTURING SETTING
PANEL: How Manufacturers Are Capitalizing on AR, VR and Mixed Reality Technologies
- Complex Assembly: Can AR and VR tech ease the display of complex assembly information?
- Expert Support: How does AR tech simplify maintenance operations?
- Quality Assurance: How can manual inspections and quality assurance be enhanced through AR?
- Automation: How can AR technologies enhance automation?
Moderator:
Thomas Milon, Principal, Boston Consulting Group
Panelists:
Gilbert Meyer Gauen, Director, Asset Management, National Oilwell Varco
Jason Krantz, Director, Business Analytics & Insigths, Weill-McLain
Jordan Kathe, Industrial Engineer, Flexco
Tim Stuart, CEO, Visual Decisions
Erik Nistad, Chairman, MESA International
TRACK B- PRODUCTION MODES CUSTOMIZATION
PANEL: How Is Advanced Manufacturing Taking Product Tailoring to the Next Level?
- What are the key product tailoring applications of Industrial IoT technologies?
- How does industrial IoT enable the customization of production modes?
- What production scenarios can be suitable for 3D printing and Industrial IoT?
Moderator:
Peter DeNagy, President, Acommence Advisors
Panelists:
Michael Koscho, Director of Quality and Advanced Manufacturing, Eaton
Jim Fitzgerald, Director of Sales, Aerospace & Manufacturing, SparkCognition
TRACK A- AR & VR APPLICATIONS IN A MANUFACTURING SETTING
Embracing the Concept of Open Innovation to Maximize AR/VR Applications across the Factory Floor
Agmon David Porat, Head of Innovation Lab, Ham-Let
TRACK B- PRODUCTION MODES CUSTOMIZATION
CASE STUDY: How a Leading Aerospace Manufacturer Is Using 3D Printing to Improve the Quality of Its Manufactured Parts
- How 3D printing enhances quality assurance
- How 3D printing is impacting complex assembly
- How can 3D printing be combined with Industrial IoT to enhance product tailoring
This session will be presented by a representative from Boeing
TRACK A- AR & VR APPLICATIONS IN A MANUFACTURING SETTING
CASE STUDY: Deploying AR and VR Technology to Assist in the Maintenance of Manufacturing Equipment
- Reducing maintenance and inspection times through AR-powered dynamic instruction confirmation
- Understanding the benefits in user experience of deploying maintenance information through AR
- Evaluating how AR, VR and Mixed Reality technologies bring new possibilities for maintenance training
TRACK B- PRODUCTION MODES CUSTOMIZATION
How 3D Printing Is Taking Product Customization to a Whole New Level
- Understanding the key use cases of 3D printing in mass manufacturing
- Evaluating the benefits of implementing 3D printing in traditional manufacturing settings
- Assessing the cost vs. benefits of 3D printing applications in a manufacturing plant
- What is the average cost structure for Industrial IoT?
- How does implementing predictive maintenance in both products and manufacturing processes affect final product market prices?
- Are customers in tune with the Industrial IoT cultural shift?
- What are the key benefits of product predictive maintenance in the aftermarket from a customer standpoint?
Moderator:
Peter DeNagy, President, Acommence Advisors
Panelists:
Aparna Jue, Product Manager, Stanley Black & Decker
Sanjay Mehta, Manager, Computational Modeling Center R&D, Air Products
Bart Pernai, Center Assurance Center Operations Manager, Nalco Water
Drew Conway, Founder & CEO, Alluvium