Kyle Clark
Analyst · Bank of America.
Yes, for sure. So I think one of the insights that Sean Donovan, our Chief of Operations, brought to BETA from Tesla was that we needed to expose the issues in production early. So our strategy is to set up a production line, take, for example, our battery line or our wing line, run it at full rate for a period of time. So if we had the battery line running for 5 days at full rate, then stopped for 5 weeks, we allow ourselves to expose the pinch points in the line. And then you apply the engineering resources, typically production or manufacturing engineering resources, sometimes design, but mostly production and manufacturing, where we find those pinch points in the line, whether it's data processing, actual assembly time, inspection, robotics, any of those things, and we address them. And that takes engineering. So if we have a laser welder that needs a cool downtime, we expose that very early. And then we apply -- we apply automation in the right places. Just recently on our battery line, for example, a plasma surface preparation system was fully automated because it was found to be a pinch point unexpectedly. So that required manufacturing production engineering to balance that line. That also reaches way back to kitting and supply chain and inventory management, where we use a highly visual manufacturing system where we design tools so that when screws, bolts and nuts show up on the line, they are in a way that the assembly technician is going to use them. It helps with our quality, it helps with our speed. And then the last thing that has been a big focus of engineering and production, Ron, has been the automated -- the use of automated tools for inspection documentation. So utilizing Wi-Fi connected screw drivers effectively to map the angle, the torque and the position of every screw that we put in drastically minimizes the human check boxes that have to happen. So those are the types of engineering investments we're making in manufacturing.