Quality in HMLV: Systems That Scale, Standards That Stick

Quality in high-mix, low-volume manufacturing is a moving target. With shifting product types, changing requirements, and limited repetition, traditional approaches to quality control often just don't work. In this episode, Jay Patel, CEO at Amtech, shares how his team is building quality systems that are scalable, data-driven, and aligned to customer standards - not internal perfectionism.

We explore the risks of overprocessing, the role of training in reinforcing what's important (and what isn’t), and how frontline audits, process-wide inspection points, and real-time data tracking help prevent breakdowns before they happen. Jay also explains how technologies like AI and vision systems are reshaping what’s possible in quality control, especially when jobs rarely repeat.

This conversation offers a clear-eyed look at what it takes to ensure consistency in an environment designed for variability.