The International Energy Agency expects at least 145 million electric cars, buses, vans, and heavy trucks on the roads by 2030. This surge in demand presents quality assurance challenges for electric vehicle (EV) manufacturers. These challenges include component size, tolerance specifications, and new manufacturing processes requiring increased sampling for process control, contributing to an overall increase in quality requirements. Applying Geometric Dimensioning and Tolerancing (GD&T) to electric motor production supports consistent quality control by providing a standardized framework for defining and communicating tolerances, geometric requirements, and functional specifications.

However, implementing GD&T using 2D drawings and manual measurement tools is not the most optimal method available to support the expected demand for EV production. Manual measurement tools provide limited information, making it an arduous process to collect enough measurements to verify GD&T specifications. In addition, comparing manual measurement results to 2D paper drawings can cause misinterpretation and create measurement variation, errors, and bottlenecks. Modern manufacturing requires a modern GD&T solution capable of helping EV manufacturers streamline and scale quality assurance processes to meet demand.