Featured Guests 

Ryan Gelotte

Applications Engineer , Johns Hopkins University Applied Physics Laboratory

Over 20 years of experience in design, manufacturing, product development, tooling and digital engineering disciplines spanning multiple industries. This includes a strong background with advanced Computer Aided Technologies (CAx) and Product Lifecycle Management (PLM) solutions. I have developed a deep understanding of many digital tools and processes. My passion is working with others to fundamentally change how products are realized by fully maximizing the value of these latest digital technologies. I wake up every day striving to leverage my past experiences to empower those in my sphere of influence to not only fully realize the value of the latest digital technologies but to also fundamentally change how people communicate product definition information. I believe changing the way we communicate is necessary to transform a company’s culture into one that embraces digital technology.

Session Track:

Wednesday, May 17 2:50 PM - 3:20 PM 102 B

CA1352P - Digital Thread and Model-Based Definition: Johns Hopkins Expert Panel

In this panel from Johns Hopkins, learn how traceable MBD data elements are consumed in various PTC tools and workflows like Creo, Windchill, ThingWorx, and Vuforia. In addition to successes and challenges, the panelists will be discussing their experiences utilizing these tools and capabilities in real pilot projects.

Session Track:

Tuesday, May 16 3:45 PM - 4:15 PM 210 A

CA1613P - Model-Based Definition: Principles and Practices

Join a group of panelists from CNH Industrial, Blue Origin, and Johns Hopkins University Applied Physical Laboratory for a discussion on the rise of MBD principles and practices within their individual industries. Each participant will provide an overview of their practices, challenges, and tips for implementing MBD within an enterprise organization. Discover how implementing MBD has benefitted these organizations and extended the digital thread throughout the value chain.

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