Unlock the potential of Digital Twins and join us for an insightful webinar that delves into the transformative potential of Digital Twins, an emerging technology that is revolutionizing industries worldwide.
In this virtual event, we will explore the diverse applications of Digital Twins and how they are driving innovation, efficiency, and sustainability.
Discover how companies are leveraging Digital Twins to optimize operations, streamline processes, and make data-driven decisions that lead to cost savings and improved performance.
Yuri Ramos brings 20 years of international experience, having worked with Information Technology for multinational companies in his native Brazil, throughout South America and in the United States. Before MIT, Yuri was with Santander Bank N.A., where he first worked as a Sr. Manager for online and mobile initiatives, and then as Chief of Staff for the CIO of Digital Channels.
Prior to Santander, Yuri was the co-founder and CEO of 2 startups in the EdTech space. In both endeavors he was responsible for strategy, business development and operations. Before this entrepreneurial period, Yuri held positions at Universo Online – Brazil’s largest Internet portal - as Director of Operations and Senior Manager; at ACISION as Engineering Manager (Latin America Operations) and Senior Project Manager; and at Nortel Networks as Project Manager.
Yuri earned his Bachelor’s degree in Mathematics at the University of Brasilia, and his MBA at MIT where he was a Sloan Fellow.
Dr. Anthony is Associate Director of MIT.nano, Faculty Lead for the Industry Immersion Program in Mechanical Engineering, and Co-Director of the MIT Clinical Research Center. With over 25 years’ experience in product realization—Dr. Anthony won an Emmy (from the Academy of Television Arts and Sciences) in broadcast technical innovation—Dr. Anthony designs instruments and techniques to monitor and control physical systems. His work involves systems analysis and design and calling upon mechanical, electrical, and optical engineering, along with computer science and optimization, to create solutions.
The focus of Dr. Anthony’s research is computational instrumentation—the design of instruments and techniques to measure and control complex physical systems. His research includes the development of instrumentation and measurement solutions for manufacturing systems and medical diagnostics and imaging systems. In addition to his academic work, he has extensive experience in market-driven technology innovation, product realization, and business entrepreneurship and commercialization at the intersection between information technology and advanced manufacturing. His teaching interests include the modelling of large-scale systems in a wide variety of decision-making domains and the development of optimization algorithms and software for analyzing and designing such systems. He has extensive experience in market-driven technology innovation as well as business entrepreneurship.
Amid a digital technology boom and a dynamic global market landscape, the manufacturing landscape is poised for a transformation from automated to autonomous operations. This evolution promises more adaptable flow chains, expediting the transition from conceptualization to commercially viable products. The key to unlocking this potential lies in the seamless integration of digital technologies - comprising sensors, data, computation, and information.
To fully realize the capabilities of digitally native production systems, characterized by high-value and customized products, a comprehensive framework of digital twins (aka models) is indispensable. These digital replicas extend beyond the product itself, encompassing materials, manufacturing processes, supply chains, and production lines. This integrated approach facilitates efficient simulations and harnesses sensor data for robust data analytics.
In essence, digital twins are sophisticated models grounded in both physics and data. They serve as invaluable design and decision-making tools in the realm of manufacturing. To demystify their complexity, it's essential to recognize them as tools that blend the physical and the digital, providing a bridge between conceptualization and realization. We'll delve into concrete examples that illuminate the practical applications, achievable now, of these transformative digital companions.
Dr. Maria Jesus Saenz is the Director of the research area on Digital Supply Chain Transformation at the MIT Center for Transportation and Logistics, as Research Scientist. The primary research examines new collaborative paradigms that arise while implementing different new digital technologies in supply chains. Our research domains are multidimensional collaboration, digital supply chain capabilities and AI in supply chains. We apply quantitative research methodologies in order to assess how data-driven ecosystems create value.
Dr. Saenz also serves as the Executive Director of the MIT Supply Chain Management Blended Masters Program, an elite MIT degree that allows learners to combine the MITx MicroMasters credential with one+ semester at MIT.
Dr. Saenz teaches various courses at the Master, Ph.D., and Executive Education levels on Digital Transformation, Supply Chain Management, Collaboration, Risks, Resilience, and Project Management. Regarding her education, Dr. Saenz is certified in Participant Centered Learning by Harvard Business School. She received Cum Laude and the Outstanding Doctoral Award for her Ph.D. in Manufacturing and Design Engineering from the University of Zaragoza, where she previously obtained her M.Sc. in Industrial Engineering while she also studied Mathematics Sciences for several years. In 2003, she received her tenure as Associate Professor in the School of Engineering at the University of Zaragoza. In 2004, she joined the newly-formed research institute MIT Zaragoza Logistics Center as Professor, and she has also served the Center as its Executive Director. She was also the Director of the Spanish Center of Excellence in Logistics. Dr. Saenz has also led various international research projects for the European Commission, as well as for companies on Supply Chain Management innovation, such as P&G, Carrefour, Clariant, Dell, DHL, Leroy Merlin, and Caterpillar. She is a co-author of more than 80 publications, including books and articles in leading international Journals. Her knowledge transfer work has received 15 awards, and her research was cited in the media, including MIT Sloan Management Review, Forbes, Financial Times Press, and Supply Chain Management Review. She also regularly interacts with business leaders in more than 15 countries.
Digital twin technology has been adopted across many industries and become more accessible and affordable, yet it remains underutilized in supply chain management. This is partly explained by the complex nature of supply chains themselves and partly due to misunderstandings about the technology’s applications, capabilities, and potential value.
In this webinar, Professor Saenz will present the research work of the MIT Digital Supply Chain Lab, discussing how, with a proper adoption and implementation strategy, digital twins can deliver immense benefits across a wide range of supply chains. As companies optimize a wide range of end-to-end supply chain functions with digital twins, the technology’s immense potential is gaining further recognition.
Dr. Michael Robert has worked at the Naval Surface Warfare Center, Carderock Division (NSWCCD) for over 26 years in various capacities as an engineer and manager. He is currently the Technical Project Manager for ‘Navy Digital Twin’ which is currently comprised of an interrelated portfolio of Science and Technology (S&T) and Research and Development (R&D) initiatives. These include investments in the surface and submarine fleet as well as Unmanned Underwater Vehicles (UUVs), predictive data analytics and wireless sensing and communications capabilities. These efforts are coordinated across the Naval Research and Development Enterprise (NR&DE) and University Affiliated Research Centers (UARCs), industry, academia and international partners.
Dr. Michael Robert will provide insight into how NSWC has been applying the principles of Digital Twins for capability developments that can increase platform operational availability.
Phanney Kim Brevard brings over a decade of global management experience in business strategy & IT from large international hardware, software, and research/advisory organizations. As Chief Strategy Officer & CIO at ETAP, a brand of Schneider Electric, Phanney is responsible for leading ETAP business strategy formulation, mergers & acquisitions, and Enterprise IT/Digital strategy & operations.
Prior to ETAP, Phanney began her career journey in risk analysis and transitioned into the technology sector in 2005. Her time in advisory, quantitative research, and custom research & consulting at Gartner fueled her passion for data & insights as meaningful ways to help people and organizations become the best versions of themselves. Phanney's expertise in distilling large amounts of data and information into concise, actionable insights has led to many successful professional experiences at Invensys plc, Aveva, and Schneider Electric. Also known to lead with empathy, she was most recently the Head of DCS Strategy & Transformation within Schneider Electric’s Energy Management business unit, accelerating business growth through operational excellence and digital transformation.
Phanney holds a B.S. in Computer Science and Business Management from Babson College in Massachusetts, as well as certifications from Wharton Business School and McKinsey Executive Leadership Programs.
Just as mobility has undergone a transformative journey with the rise of digital technologies, the Electrical Digital Twin is set to redefine how we approach safety, sustainability, and efficiency for electrical systems. In this webinar, Phanney Kim Brevard will leverage parallels between mobility and the electrical digital twin to guide you through its impact on the electrical world and its potential for proactive maintenance, intelligent energy management, and seamless integration within the digital ecosystem.
Ms. Yorinde Lokin started her career as a strategy consultant with Accenture. She has held several business facing IT positions for Shell’s Upstream and Downstream Mobility business. She is currently a Growth Manager for Kongsberg Digital, a company that aims to shape the future of work through its technology solutions. She is responsible for new business development of Kongsberg’s Industrial Work Surface solutions in the Americas. Yorinde holds an MSc. in Management from Nyenrode Business University in The Netherlands.
Megatrends like the energy trilemma and new technologies drive the need to change the way the heavy asset industry works today. The future of digital twins is bright, and a rapidly increasing number of companies are moving away from traditional point tool solutions or visualization tools to an all-encompassing single work surface. In this webinar, Yorinde Lokin will present how digital twins can maximize value and minimize risk and environmental impact throughout each stage of the heavy asset lifecycle.
Michael Schrage is a research fellow with the MIT Sloan School of Management's Initiative on the Digital Economy. His research, writing, and advisory work focuses on the behavioral economics of models, prototypes, and metrics as strategic resources for managing innovation risk and opportunity. He is author of the award-winning book The Innovator’s Hypothesis (MIT Press, 2014), Who Do You Want Your Customers to Become? (Harvard Business Review Press, 2012), and Serious Play (Harvard Business Review Press, 2000). His latest book, Recommendation Engines, was published in September 2020 by MIT Press as part of its Essential Knowledge series. He's done consulting and advisory work for Microsoft, Procter & Gamble, British Telecom, BP, Siemens, Embraer, Google, iRise, the Office of Net Assessment, and other organizations
Schrage has run design workshops and executive education programs on innovation, experimentation, and strategic measurement for organizations all over the world and is currently pioneering work in selvesware technologies designed to augment aspects, attributes, and talents of productive individuals. He is particularly interested in the future co-evolution of expertise, advice, and human agency as technologies become smarter than the people using them.
Drawing on recent research in strategic measurement, predictive analytics, and generative AI, these remarks briefly review preliminary findings and best practices around how digital twins help KPIs become KPAIs.