Industry 4.0: Preparing Your Company for Global Success Radu Pavel, Ph.D. Chief Technology Officer Manufacturer’s Forum October 6, 2016 TechSolve Overview • Cincinnati-based Not-For-Profit Corporation founded in 1982 by Cincinnati Chamber of Commerce, UC & City of Cincinnati • Core Competencies: – Advanced Manufacturing & Machining Technology – Process Analysis & Improvement © 2016 TechSolve Inc. All Rights Reserved. • 40+ engineers, scientists and business specialists • 45+ contractors: technical and industry experts • Fully instrumented on-site applied development high-bay facility (Heritage Metcut Research) Fully-Instrumented Machining Laboratory TechSolve’s M. Eugene Merchant Technology Development Center (formerly MetCut Research Machining Laboratory, founded 1948) Major Equipment List: • Mazak Integrex i200S Mill Turn • Makino V55 – 3 Axis VMC w/20K spindle • DMG DMU-50 – 3+2 Axis VMC w/Siemens 840D CNC & through-spindle coolant • DMG DMU-70 eVo Linear – 5 Axis VMC w/ Siemens 840D & 580 psi through-spindle coolant • Hardinge Cobra 65 – 2 Axis turning center w/Fanuc 21T & Bar Feed • Milltronics HMC35 – 4 Axis HMC w/Fanuc 0iMC • Chevalier Smart B1224II CNC Surface Grinder • Sheffield Cordax D-8 CMM • Kistler Turning, Milling, and Drilling Dynamometers • Keyence VHX Digital 3D Microscope • Fluids Lab © 2016 TechSolve Inc. All Rights Reserved. Knowledge Is Power “…recent conversations between Manufacturing Leadership Council Global Vice President and Editorial Director David Brousell and a group of small and medium-sized enterprises in Ohio revealed that very few, if any, had actually heard of the term, the Internet of Things…” - Manufacturing Leadership Council / Frost & Sullivan © 2016 TechSolve Inc. All Rights Reserved. INDUSTRY 4.0 Industrial Revolution Industrial revolution - A rapid, major change in an economy http://cdn.static-economist.com/sites/default/files/imagecache/full-width/images/print-edition/20120421_LDP001_0.jpg © 2016 TechSolve Inc. All Rights Reserved. The Industrial Revolutions First Industrial Revolution: 1700s – 1800s • Water and steam powered production Second Industrial Revolution: 1800s – 1900s • Electric power used to create mass production Third Industrial Revolution: 1900s – 2000s • Production automatization through electronics and information technology Fourth Industrial Revolution – started • Fusion of technologies that is blurring the lines between the physical, digital, and biological spheres © 2016 TechSolve Inc. All Rights Reserved. Industry 4.0 Autonomous Robots Big Data and Analytics Modeling and Simulation Augmented Reality Industry 4.0 Additive Manufacturing System Integration Internet of Things Cloud Computing © 2016 TechSolve Inc. All Rights Reserved. Cybersecurity Industry 4.0 http://thinkingaloud.aberdeen-asset.com/static_files/images/thinkingaloud/994x385_tbp_industry-4.0-the-fourth-industrial-revolution.jpg Internet connectivity will enable products and machines to communicate with each other, learn from each other, and work directly with each other without human intervention. © 2016 TechSolve Inc. All Rights Reserved. Digitization, Connectivity, and Self-Awareness http://vignette4.wikia.nocookie.net/matrix/images/1/12/Powerplant_fields2560-1600-178.jpg/revision/latest?cb=20140504002340 https://fsmedia.imgix.net/22/6c/06/1c/d24d/4a1f/b46f/836d61c5cfb2/image-20141215-24297-6jsbmpjpg.jpeg http://vignette4.wikia.nocookie.net/starwars/images/a/a6/Droid_foundry.jpg/revision/latest?cb=20071004200659 Elements of Industry 4.0 • The (Industrial) Internet of Things - IIoT • Digital Manufacturing • Big Data • Advanced Analytics • Augmented Reality • Cloud Computing • Cyber-physical Systems • Robotics and Automation • Systems Integration • Cybersecurity © 2016 TechSolve Inc. All Rights Reserved. Factory of the Future Industrial Internet of Things • The concept of the “Internet of Things” dates back to 1999 and was coined by British technology pioneer Kevin Ashton • “[IOT is]…the intelligent connectivity of smart devices by which objectS can sense one another and communicate, thus changing how, where, and by whom decisions about our physical world are made.” - Bryce Barnes, Cisco's Senior Manager of Machine and Robot Segment © 2016 TechSolve Inc. All Rights Reserved. Digital Manufacturing • In the late 1980s, >1% of the world's technologically stored information was in digital format, while it was 94% in 2007, and more than 99% by 2014. • 2002 was estimated to be the year when human kind was able to store more information in digital format, than in analog format – this noted the beginning of the Digital Age. © 2016 TechSolve Inc. All Rights Reserved. The Digital Thread • “Digital manufacturing and design is the ability to connect different parts of the manufacturing life-cycle through data, and to utilize that information to make smarter, more efficient business decisions” - DMDII • Digital technologies are now in the process of transforming the way parts, components and complete systems can be designed and manufactured. © 2016 TechSolve Inc. All Rights Reserved. Big Data MESA Library, www.mesa.org, 2009 © 2016 TechSolve Inc. All Rights Reserved. Big Data and Advanced Analytics Data Data Data Actionable Acquisition Warehousing Analytics Information Structured Data A set of Dashboards / and management, statistical and Visualization / unstructured storage, cleaning, mathematical Automatic synchronization methods for feedbacks etc. data processing © 2016 TechSolve Inc. All Rights Reserved. 16 Advanced Analytics The autonomous or semi-autonomous examination of data or content using sophisticated techniques and tools, typically beyond those of traditional business intelligence, to discover deeper insights, make predictions, or generate actionable information. “The extensive use of data, statistical and quantitative analysis, explanatory and predictive models, and fact-based management to drive decisions and actions.” [Davenport, T. H., Harris, J. G., “Competing on Analytics”, Harvard Business School Press, Boston, Massachusetts, 2007.] http://www.dunnsolutions.com/content/predictive-analytics © 2016 TechSolve Inc. All Rights Reserved. Advanced Analytics - Components Physics/engineering-based modeling • Needs less data • Powerful but difficult to scale Empirical, heuristic rules and insights • Easy to understand • Captures accumulated knowledge of your experts Data-driven techniques such as machine learning, statistics, visualization, etc. • Easiest to maintain and scale • Need significant amounts of data • Limited to regions of parameter space © 2016 TechSolve Inc. All Rights Reserved. Cybersecurity http://i.imgur.com/RIN87.jpg © 2016 TechSolve Inc. All Rights Reserved. Cybersecurity “Security waits for no one, so don’t wait for security. 78% of security officials expect a successful attack on their ICS/SCADA systems within the next two years. IoT security is one of the top three challenges that businesses face when integrating their assets with the Industrial Internet.” –GE’s Perspective on Cybersecurity © 2016 TechSolve Inc. All Rights Reserved. In the Factory of the Future… • All internal and external activities will be connected through an information platform • All value added business divisions and of the entire value added chain will be integrated with the aid of digitalization • Information, communication, and automation technologies will be fully integrated • All subsystems( including non-producing ones) are networked and consolidated into one system • The entire process can be considered and managed in real time in its entirety from the very first step © 2016 TechSolve Inc. All Rights Reserved. Factory of the Future • Rapid adaptable production lines • High-level of customization and quality • Focused on zero defects • Interconnectivity, communication & data storage via cloud • Energy and resource efficient • Innovative Small and Medium-size Enterprises • Continuous skills improvements – multi-skilled jobs • Doing more with less © 2016 TechSolve Inc. All Rights Reserved. Gartner’s Hype Cycle for Emerging Technologies 2013 Internet of Things Expectations Predictive Analytics Big Data Enterprise 3D Printing Cloud Computing Time http://na2.www.gartner.com/imagesrv/newsroom/images/hype-cycle-pr.png;wada20fd4bd7891509 © 2016 TechSolve Inc. All Rights Reserved. Gartner’s Hype Cycle for Emerging Technologies 2015 Expectations Internet of Things Machine Learning Enterprise 3D Printing Smart Robots Digital Security Time http://blogs.gartner.com/smarterwithgartner/files/2015/10/EmergingTech_Graphic.png © 2016 TechSolve Inc. All Rights Reserved. Industry 4.0 – Opportunity • Unlock unprecedented efficiency and factory optimization • Predict, adapt, and react more quickly and effectively than ever before • Real-time visibility, insights, and optimization • Reduce operational expenses • Optimize asset utilization © 2016 TechSolve Inc. All Rights Reserved. Cincinnati – Demonstration City © 2016 TechSolve Inc. All Rights Reserved. Smart Machine Platform Initiative Machine tool integrating technologies that recognize the goal of “First Part Correct” manufacturing. © 2016 TechSolve Inc. All Rights Reserved. TECHSOLVE’S IOT ENABLING TECHNOLOGIES Machine Monitoring Brings the Factory into the IoT, enabling: • Asset Management • Shop Floor Awareness and Control • OEE - Utilization/Efficiency • Maintenance Insight • Simulation & Verification • Supplier Visibility • Risk Analysis, Contingency Planning © 2016 TechSolve Inc. All Rights Reserved. The “WIN” For Manufacturers Quickly identify underperforming manufacturing assets and reduce downtime by: • Uncovering the root cause of machining issues and disruptions • Validating process improvement initiatives • Promote productivity by revealing machine performance to all © 2016 TechSolve Inc. All Rights Reserved. Choices For Manufacturers 1. Do Nothing 2. Traditional (Manual) Data Collection 3. Automated System (Cloud or Local) © 2016 TechSolve Inc. All Rights Reserved. MTConnect® VERSION 1.0 RELEASED DECEMBER, 2008 TechSolve partnered with AMT to establish the MTConnect Institute as part of the SMPI Project Institute developed MTConnect as open standard that addresses the needs for compatibility, interoperability, and plugand-play capability for the machine tool industry Standard vocabulary, syntax, and communication protocol for devices © 2016 TechSolve Inc. All Rights Reserved. How Automated Monitoring Works Use Store Aggregate CNC Machine CNC Machine Power Monitor Extract CNCs: FANUC, Siemens, Mazak, Okuma, DMG, Makino, Haas, and more… © 2016 TechSolve Inc. All Rights Reserved. Non-CNC equipment of all types Sensors, Digital & Analog Signals Pressure, flow, temperature, pH, etc. HID Data Barcode, keyboard, ERP, MES, etc. measuring device TechSolve MTConnect VizProducts™ ShopViz® • Enterprise level monitoring • Live dashboards, historical reporting, event notification • Cloud or local deployment MiniViz® • Introductory level monitoring • Quick and simple – single .exe file • Live dashboards and data logging VizProducts® • MTConnect Adapters, data collection infrastructure, consulting services © 2016 TechSolve Inc. All Rights Reserved. Conclusion • The exponential increase in data and new computing capabilities, along with advances in other areas such as artificial intelligence, automation and robotics, and human-machine interaction, will change the nature of manufacturing itself. • Data will only grow bigger. Technology reached a level that allows conducting big data analytics with reasonable speed and efficiency. • There is a need for culture change and experts to fill the gap between IT capabilities and the realities of the industry. • Every manufacturer has to make choices and start somewhere on the journey to the future. © 2016 TechSolve Inc. All Rights Reserved. Thank You!
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