Sigmetrix to Showcase Model-Based Engineering and Variation Management Solutions at the 11th Annual American Automotive Summit
DETROIT, Sept. 15, 2026
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Sigmetrix to Showcase Model-Based Engineering and Variation Management Solutions at the 11th Annual American Automotive Summit
PR Newswire
DETROIT, Sept. 15, 2026
DETROIT, Sept. 15, 2026 /PRNewswire/ — Sigmetrix is proud to announce its participation in the 11th Annual American Automotive Summit (AAS), hosted by Generis Group on September 15-16, 2026, at the Detroit Marriott at the Renaissance Centre in Detroit, Michigan.
The two-day executive conference brings together automotive OEMs, Tier 1 and Tier 2 suppliers, and technology providers to explore manufacturing innovation, digital transformation, quality improvement, supply chain performance, and next-generation vehicle technologies. The event is expected to attract more than 180 automotive leaders and feature organizations including General Motors, Stellantis, Tesla, Adient, Cooper Standard, Ford, Nissan, Continental, and BorgWarner.
As automotive manufacturers face increasing pressure to balance quality, cost, speed, and innovation, Sigmetrix will demonstrate how its engineering analysis solutions and enablement services help organizations reduce development risk, improve product quality, and accelerate product launches. Attendees will have the opportunity to learn how CETOL® 6σ and VariSight® support more informed design and manufacturing decisions throughout the product development lifecycle.
Enabling Model-Based Definition for Sustainable Business Results
Successful digital transformation requires more than software implementation. Organizations must also develop the processes, skills, and organizational alignment necessary to fully realize the benefits of Model-Based Definition (MBD) and Model-Based Enterprise (MBE) initiatives.
Sigmetrix combines advanced engineering software with implementation consulting, GD&T training, and technical consulting to help manufacturers overcome both the technical and organizational challenges associated with modern engineering transformation. Through a comprehensive approach that integrates software deployment, workforce development, process improvement, and change management, Sigmetrix helps companies establish scalable and sustainable digital engineering practices.
A key component of this approach is the company’s expertise in geometric dimensioning and tolerancing (GD&T) education. Sigmetrix enables engineering teams to create accurate, standards-compliant semantic product definition data that serves as the foundation for downstream manufacturing, quality, and inspection processes. These capabilities help organizations establish a robust digital thread while improving collaboration across engineering and manufacturing teams.
By combining variation management technology with practical guidance on implementation, engineering standards, and organizational readiness, Sigmetrix provides manufacturers with a proven pathway toward MBD and MBE adoption.
CETOL® 6σ: Predicting and Preventing Variation Before Production
Dimensional variation can significantly impact vehicle fit, finish, performance, manufacturability, and customer satisfaction. CETOL® 6σ helps engineering teams analyze and predict the effects of variation early in product development, enabling potential assembly and tolerance issues to be identified and addressed before physical prototypes are built.
Automotive manufacturers use CETOL 6σ to evaluate critical vehicle systems and assemblies, including body structures, battery pack assemblies, chassis components, powertrain interfaces, and interior systems. By understanding how manufacturing variation influences final assembly performance, teams can optimize tolerances, reduce costly redesign efforts, and improve overall product quality.
VariSight®: Bringing PLM Connectivity to Variation Analysis
As manufacturers continue to expand Model-Based Definition and digital engineering initiatives, efficient access to variation analysis data becomes increasingly important. VariSight provides engineers and decision-makers with streamlined access to tolerance analysis models, results, and related product information, enabling more effective collaboration throughout the product development process.
For automotive applications, VariSight supports the evaluation of dimensional relationships across vehicle structures, seating systems, electric vehicle platforms, interior components, and complex multi-part assemblies. The solution provides immediate visibility into how design changes affect manufacturing outcomes, helping teams make faster, more confident engineering decisions while extending access to product variation data across the enterprise.
Meet Sigmetrix at the American Automotive Summit
The American Automotive Summit provides an ideal forum for automotive leaders to explore emerging technologies, exchange best practices, and build valuable industry connections. Sigmetrix looks forward to meeting with attendees and demonstrating how CETOL 6σ and VariSight can help manufacturers achieve higher-quality products, accelerate development cycles, and strengthen confidence in engineering decisions.
Upcoming Webinar: What’s New in CETOL® 6σ
Attendees and those unable to attend who are interested in learning more about the latest capabilities available in CETOL® 6σ are invited to meet with the Sigmetrix team during the event or participate in the company’s upcoming webinar covering the newest software release and product enhancements. The webinar will be hosted on November 5th, 2026 at 11 am EST, and registration is free of charge. Click here to learn more and register for this event.
About Sigmetrix
Sigmetrix develops engineering software and services that help manufacturers improve product quality and accelerate development through variation management, tolerance analysis, Model-Based Definition enablement, and GD&T expertise. Its solutions support organizations across the product lifecycle by reducing risk, improving manufacturability, and enabling more informed engineering decisions. Find out more at sigmetrix.com
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SOURCE Sigmetrix

