Elli Peterson's TechCrunch

When our production line at a mid-sized aerospace components facility began experiencing recurring quality issues that traditional Six Sigma methods couldn't fully resolve, we knew something fundamental had to change. The sporadic defects were costing us millions in rework and threatening our position as a tier-one supplier. What we discovered through our journey toward AI-Driven Production Excellence transformed not just our quality metrics, but our entire approach to manufacturing operations. The lessons we learned along the way offer valuable insights for any discrete manufacturing operation struggling with similar challenges in today's rapidly evolving industrial landscape. Our transformation began with a sobering realization: the gap between our current capabilities and what AI-Driven Production Excellence could deliver was wider than we initially imagined. We had invested heavily in Manufacturing Execution Systems and Enterprise Resource Planning platforms, yet we were s...

The journey toward intelligent automation in manufacturing is rarely a straight line. After spending years working alongside production teams, engineers, and plant managers implementing automation strategies across multiple facilities, I've witnessed firsthand how transformative these technologies can be—and how challenging the path often proves. The stories from the factory floor reveal patterns that no white paper or vendor presentation can fully capture: the moments when legacy SCADA systems refuse to communicate with new IIoT sensors, the shift supervisor who becomes your greatest advocate after initial resistance, and the unexpected efficiency gains that emerge from places you never anticipated. These real experiences shape how we approach digital transformation in modern manufacturing environments. One of the most instructive experiences came during a brownfield implementation at a mid-sized automotive components facility. The plant had been operating for nearly four decades,...