CESMII

What will it take to increase competitiveness for U.S. manufacturers? Technology? Real-time data? Or perhaps it’s the ecosystem that will bring it all together. At CESMII, we’ve seen first-hand what a community of motivated, driven innovators can do. Bringing together leading organizations – of all sizes, industries, and applications – the CESMII ecosystem is committed to accelerating the democratization of Smart Manufacturing. Next week, at the SOLD-OUT 2024 CESMII Member Meeting in Knoxville, TN, attendees will experience inspiring stories that highlight the real impact of CESMII’s mission. We’re excited to bring our ecosystem together for this gathering of minds, fueling continued transformation in manufacturing. 👀 Here’s a sneak peek of what’s in store! ➡️: https://hubs.li/Q02WzJ0q0 Connecticut Center for Advanced Technology (CCAT), FullBore, PTA Plastics, Rensselaer Polytechnic Institute, SME, Manufacturing USA, U.S. Department of Energy (DOE), UCLA Office of Advanced Research Computing, National Institute of Standards and Technology (NIST), Oak Ridge National Laboratory, MediaVision Creative, Hoptocopter™ Films #CESMIIMemberMeeting

Excited to be at Automation Fair in Anaheim, California! This year is extra special—I’m here with my son, Caleb Dyck, who works for and is exhibiting here with RoviSys! Walking the show floor together has been a great reminder of why we work so hard to drive innovation at CESMII. It’s all about empowering the next generation to transform manufacturing into something smarter and more sustainable. Thanks to Rockwell Automation for hosting such a fantastic event. If you’re here, let’s connect and talk Smart Manufacturing!

We attended an informative road show with CESMII and ThinkIQ held at the Melton Machine & Control Company facility in St. Louis, MO. Centered around the importance of smart manufacturing technologies and making implementation easy and scalable for small to medium size manufacturers. #SmartManufacturing #IndustrialAutomation #ManufacturingTechnology #SMEs #RoadShow #CESMII #ThinkIQ #MEP #ManufacturingInnovation #StLouisMO #Industry40 #DigitalFactoryNow #PhoenixContactUSA

We're here to demystify the digital fog for small and medium manufacturers. As CESMII Certified Smart Manufacturing Roadmap Professionals, we're ready to craft a roadmap tailored to where you stand in your digital transformation journey. Want to take the next step together? #SmartManufacturing #DigitalTransformation #IndustrialInnovation #CESMII #ManufacturingJourney #SME https://lnkd.in/gi58dTRS

I'm excited to share that I’ve JOINED the ADVISORY BOARD of the Smart Manufacturing Executive Council (SMEC), co-chaired by John Dyck of CESMII and Jeannine Kunz of SME. SMEC brings together business and technology executives, thought leaders, and visionaries advocating to strengthen U.S. manufacturing and boost its competitiveness by accelerating the adoption of Smart Manufacturing. As a SMART MANUFACTURING ADVISOR, I look forward to collaborating with John Dyck, Jeannine Kunz, the SMEC team and my colleague advisors Sudhi Bangalore, Dean Bartles, Rick Bullotta, Simon J., Matthew Littlefield, Colin Masson, Jim Wetzel and Jeff Winter. Together, we’re transforming the U.S. manufacturing landscape, elevating the ecosystem, and equipping manufacturers with tools & resources to succeed in times of dynamic change and external disruption. One key initiative introduced at the recent CESMII Annual Meeting is the SMART MANUFACTURING PLAYBOOK. This resource will guide members through their Smart Manufacturing journey with strategic insights, proven practices & case studies, and actionable tools. Further development and deployment are coming soon—stay tuned! I’m thrilled to contribute to this effort, given the impact it can make on U.S. manufacturing and its competitiveness. I am confident that this groundbreaking work will create a game-changing impact.

. DIGITAL TWINS for MANUFACTURING. 🎯 I accepted a challenge to moderate a 2-day marathon discussion on this subject with 36 experts, sponsored by DOE and NSF held last week at #UConn. It was structured as 6 panels of 6 experts each, discussing each subtopic for 2.5 hours, with a hybrid audience of 400+ from 12 countries. 🙏 I place my sincere thanks to George Bollas, Sudarsan R. and the organizing committee for putting their trust in me to moderate this high cost workshop with almost 6 months of planning. My wife Anu Kaur and I had several sleepless nights, as we did not want me to be the single point of failure. I thank her for the unwavering support in this. Several scenarios were cognitively played and backups prepared in advance. I missed having my Industry 4.0 professional partner Dr. Johannes Vrana from Germany at this event. 🙏 After 2 days of engaging event, I can undeniably attribute the meaningful outcome to two things: (A) Panelists willingly shared their knowledge and challenged others, (B) Panelists cooperated with the rules of engagement described upfront. 🙇♂️ I probably offended a few participants by calling a time out, and I am NOT SORRY for that, because I have to respect the time of 200 others in the room as well. I hope they understand. 🎯 This was by far the most intense facilitation of my decade long coaching practice. It helped me immensely in strengthening my skill set. 🙏 NOW, let me place my gratitude to the 36 highly supportive subject experts, who made this workshop a "Best in Class" (as expressed by several attendees) 🙏(Panel 1) Formal Practical Definition of Digital Twins for Manufacturing & Business Value with Keith Foston, John Vickers, Sudarsan Rachuri, Jan Vandenbrande, Bruce Kramer, and Shreyes Melkote. 🙏(Panel 2) Core Characteristics and Capabilities of DT for Manufacturing with Michael O'Keeffe, Pieter van Schalkwyk, Jacquelynn Garofano, Raju Namburu, Yuepeng Zhang, and Mehrdad Mahdavi. 🙏(Panel 3) Best Practices and Standards for Digital Twins with Martin Hardwick, Guodong Shao, Krishna Pattipati, Thorsten Wuest, Bill Peter, and Haresh Malkani. We also had a spot guest on this panel Gabriela Ciocarlie, making the total 37. 🙏(Panel 4) Manufacturing Modalities for Real-Time Simulation & Visualization with Birgit Vogel-Heuser, Scott Kaslusky, Sankaran Mahadevan, Huijuan Dai, Dhanushkodi Mariappan, and Vincent Paquit. 🙏(Panel 5) Education, Workforce Development, Curriculum, and Training for Digital Twins with Pramod Khargonekar, Dawn Tilbury, George Bollas, Amy Thompson, Ragu Athinarayanan, and Antonios Kontsos. 🙏(Panel 6) Implementation Challenges & Collaborative Platforms with Bernard Bewlay, Larry Megan, Soundar Kumara, Elaine Tang, Thomas Kurfess, and John Dyck. 🙏Event support from UConn's Amy Renczkowski Erhart and Janesa Mackin deserves appreciation. 🙏Thankyou for reading it through the end. Now the pictures of the 6 panels mentioned above in the order listed.

For those of you that might not have been able to attend last week's event, please take a look at Joe Perino's thoughtful commentary below! "In short, operating companies looking for a Data Ops and analytics solution platform should give SAI serious consideration." Kudos to the SymphonyAI team for putting together another informative event along with a few of our partners Microsoft, Infosys, and CESMII! Also greatly appreciate our speakers who shared their insights, including Sebastián Trolli from Frost & Sullivan and Chirag Agrawal from Novelis. Keep looking forward to what we have coming next!

🚨 NEW DATE: Join us as we introduce the Smart Manufacturing Acceleration Program (SmartMAP) on January 16, 2025 at 3:00 PM ET. SmartMAP is a unique initiative by Michigan manufacturers, for Michigan manufacturers. This program is designed to fast-track your Industry 4.0 journey, arming you with essential tools, education, and support. 👉 Register now: bit.ly/3Yyw0P0. Proudly hosted by the Manufacturing Growth Alliance (MGA) in collaboration with SME, CESMII, Axiom Manufacturing Systems, and Steam Services LLC. #Industry40 #SmartManufacturing #MichiganManufacturing

Successful implementation of Smart Manufacturing (SM) requires AI-ready data at scale. Sthitie Bom at Seagate Technology and I, along with our colleagues at National Science Foundation (NSF) and National Institute of Standards and Technology (NIST), have been benchmarking how to use AI/ML models to tap into invaluable machine, process, product, and material behaviors embedded in existing operational data. A Data-First AI/ML SM strategy emphasizes engineering AI-ready data by consistently collecting, contextualizing, cleaning, normalizing, protecting, aggregating, assessing, and selecting it to draw out operational value refined from years of experience even when the physics may not be fully understood. An important example is in semiconductor manufacturing where AI/ML models predict complex metrology outcomes to improve operations, products, margins, and staff productivity. Simulated data based on modeling assumptions is not likely to replicate this value soon. Too many AI/ML solutions overemphasize algorithms without first engineering the data. Learning, unlearning, validating, and adjusting models when using and reusing data remains an art. Instead, we have demonstrated that systematically engineering data collaboratively can produce effective solutions with immediate value. If data is not over-engineered, results that are not readily explainable at a reasonable cost with current physics offer valuable insights to improve models. By tackling data access at scale, a Data-First strategy leverages the experiences of other industries that AI has transformed. Data siloing must be relaxed for an AI/ML Data-First strategy to be effective. Data siloing is a costly, constraining legacy manufacturing practice that undercuts the value of AI/ML. At a machine or operational level, siloing often results in limited solutions in which the data and investments are not transferable to other applications. Siloing within factories, supply chains, equipment builders, and solution providers restricts access to data, locks out the advantages of scale, inhibits product optimization, and shortchanges all stakeholders. Data related to IP and trade secrets needs to be protected, but it is equally important to manage value while mitigating the risk of collaborating on a data and model ‘supply chain.’ A Data-First SM strategy addresses these as implementation integration requirements. It sets a course for using AI by asking the right questions about new business frameworks that automate AI-ready data engineering and use scale to increase the accessibility and value of data.  These observations are honed within an NSF/NIST sponsored workshop (NSF award 2334590) organized by Sthitie Bom at Seagate Technology and Jim Davis at UCLA Office of Advanced Research Computing (CESMII) together with Bruce Kramer (NSF), Said Jahanmir (NIST), Gregory Vogl (NIST) and Don Ufford (NIST).

What is CESMII? Check out this video, which explains what CESMII is and does! #CESMII (the Clean Energy Smart Manufacturing Innovation Institute) explores its pivotal role in revolutionizing the manufacturing landscape. Through innovative technologies and collaborative partnerships, CESMII drives intelligent manufacturing practices that enhance efficiency, sustainability, and competitiveness. CESMII's initiatives empower manufacturers to harness data and digital tools, fostering a resilient ecosystem that adapts to modern challenges. They showcase real-world success stories, highlight cutting-edge research, and envision a future where manufacturing thrives harmoniously with intelligent technologies. We at DigitalituM are CESMII Certified Smart Manufacturing Roadmap Professionals (link: https://lnkd.in/g7jbyx9P) and are happy to help you with your Digitalization Journey in Manufacturing. https://lnkd.in/gx6ySRpK