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Jan de Nijs
Lockheed Martin
LM Fellow for Enterprise Digital Production
Jan de Nijs is the LM Fellow for Enterprise Digital Production and co-leader of the team within the Lockheed Martin Digital Transformation Program that has been chartered with unlocking the value of Digital Production. Before joining Lockheed Martin, he spent the first 15 years of his career in leadership roles in the capital goods industry, designing and building automation and metrology solutions for the automotive, aerospace, and the food packaging industry, working both in Europe and the United States. In 2004, he joined the Lockheed Martin Missiles and Fire Control Division in Orlando, Florida, where he worked as a leader on factory automation and production process improvement projects.
In 2016, he moved to the Lockheed Martin Aeronautics Division in Fort Worth, Texas, to become part of the F-35 Production team. In 2018 he got recruited to lead the corporate effort for enterprise digital production across all Lockheed Martin divisions. Jan holds an MS degree as well as a Technical Doctorate in Mechanical Engineering from Eindhoven University of Technology in The Netherlands.
Presentations
Panel: Smart Manufacturing Supply Chains: Leveraging AI and ML for Improved Efficiency and Productivity
Panelists:
Jan de Nijs, LM Fellow for Enterprise Digital Production, Lockheed Martin
Shameka Lewis, EHS Director, Kellogg's
Jenny Stenström, Site Digital & IT Lead, Frederick (MD) Manufacturing Center, AstraZeneca
The pane will explore the latest trends and best practices in using artificial intelligence (AI) and machine learning (ML) to optimize manufacturing supply chains. Our panel of experts will discuss the potential benefits of these technologies, including improved efficiency, increased productivity, and reduced costs.
During the session, our panelists will share their experiences and insights into implementing AI and ML in manufacturing supply chains, including challenges, success stories, and lessons learned. They will discuss the key considerations for implementing these technologies, including data quality and security, skills and expertise, and collaboration between IT and operations teams.