XSB COO, Tanya Vidrevich, joined other thought leaders in the Model-Based Systems Engineering community at NIST’s Model-Based Enterprise Summit to demonstrate how SWISS® digital models can provide an integrated view of engineering requirements.

New York, NY. On April 2, 2019 thought leaders in manufacturing, energy and aerospace and defense were joined by STEM researchers from some of the country’s top research universities at NIST’s headquarters in Gaithersburg, MD for the 10th Annual MBE (Model-Based Enterprise) Summit. The focus of this year’s conference centered on how decentralization of manufacturing systems has amplified the problem of collecting and communicating the product and process specifications needed to make decisions about design, production, and supply chains tasks while delivering products to market. Here, XSB’s COO, Tanya Vidrevich, shared with her peers XSB’s vision for Engineering of the Future – the Digital Thread; and how SWISS is addressing this central problem. Her demonstration showed how SWISS is revolutionizing manufacturing, design and quality inspection processes across the supply chain by providing data interoperability in the Model Based Environment.

SWISS (Semantic Web for Interoperable Specifications and Standards) is an interoperable linked-data platform that transforms static engineering documents into “Smart Connected Documents” which know their meaning and their status, contain active links to all their references, and can notify users downstream when any part is updated that impacts other documents, applications, or processes. SWISS facilitates seamless interoperability not only between MIL Specs and non-government industry standards, but also between internal corporate documentation (like product specs, test plans, etc.) and the industry standards that they reference. With SWISS digital data, static documents become intelligent and actionable and help engineers do their work faster, with fewer errors, and less risk.

The goal of the MBE Summit is to identify challenges, research, implementation issues, and lessons learned in design, manufacturing, quality assurance, and sustainment of products and processes where a digital model of the product serves as the authoritative information source for all activities the product lifecycle.

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