Priya Almelkar11:45
Thank you, Missy.
So as you can see, our operations team had a huge charter, right? They wanted to build the first and largest fully automated silicon carbide factory, and not only build that but then have plans to be able to scale. I want to give you a little glimpse of where we started and where we are.
So as you can see, we had a very fragmented architecture, manual factory. But our North Star was we wanted connected plants, connected digital worker. We wanted to make sure that we built that foundation that we could scale upon. So we knew that we had to start with an Industry 4.0 architecture so that we could build a scalable factory, provide applications that provide an integration backbone, and provide data to our — we talked a lot about data-driven decisions today, right? We wanted to provide a platform where our factory workers had data at their fingertips.
Oops. Okay, so as any project, right, we started with a phased approach, right? Looking at what our snops today, getting capability assessment, gap analysis. We knew that our architecture was going to cost us a pretty penny, right? It was not going to be on the cheap side. But we made that decision because we wanted to drive the accelerated advantage, right? As Missy mentioned, we have ramped up in less than three years, when any semiconductor is about a five-year journey, right? So this has definitely provided us that innovation. One of the other challenges that we had was normally you see digitization happening in 300 millimeter. In 200 millimeter, mostly it's the legacy factories that are operating, so even the tools that we had for 200 millimeter didn't even have the right protocols to be able to do that integration. And like Missy mentioned, we started this in the heart of the pandemic, so March 2020 is when we put the shovel in the ground, and that's when the pandemic hit. Everything — all the supply chain issues, travel — everything was a challenge. So we decided to get external load ports to integrate with our tools. Now that helped with the accelerated journey, but it was a challenge for the IT team because we now had to do three-way integration between the tools, the overhead transport control, and the external load port. So all of this complexity, we started looking at which tools or which MES solution we could utilize to build that backbone. We reviewed many, many MES solutions. Some of the team members that were part of Wolfspeed are here today as well, and we picked Critical Manufacturing. What we realized is there was a lot in common between Critical Manufacturing and us. We both came from a semiconductor background, right? We love semiconductor. We were small enough relatively so that we could provide that flexibility and agility, and then we had that passion to prove it can be done, right? Because trying to do this in 200 millimeter required a lot of customization, a lot of flexibility, a lot of trial and error. And obviously the proof is that we have achieved that. So that's how our partnership started.
Now to build that architecture and get to the point today, there was a lot of conversation about that digitization and Industry 4.0 and AI is all a journey, right? So for our journey, it all started with building a small team that really had to know the business of operations, and the same for operations team, they had to understand what the system does, what capabilities. I think the panel talked about that as well today. So we started with what could be the minimum viable product for our factory, and you know obviously MES — Versatile MES — was the backbone, along with — we talked about today PLM, ERP — all of those solutions. We enabled MES, reporting, along with scheduler for our factory workers to make sure that they understand the production anomalies, that they are able to get data to be able to respond pretty quickly. And now we are building the advanced capabilities. So one of the differentiating factors for us is we wanted to make sure that we have an advanced analytics platform that was bringing in data from across so that we could really build that advanced capability, so it could be the foundation for predictive maintenance, for artificial intelligence, so on and so forth.
Now it would be amiss as a CIO if I do not talk about security. Obviously connected digital manufacturing obviously increases the risk to security for the factory substantially, right? You can see that Gartner predicts that cyber attackers will have weaponized and what is the impact, the risk impact that we are looking at. So we had to make sure that we built a strong cybersecurity governance framework that really took the best in class from OT and IT security and combined it together, right? Our connected sensors, they made sure that it brings the alerts and everything to our factory personnel so that they understand the environment they are in, ensure that they can react quickly. But at the same time, our cybersecurity is very connected with our tools, so we gather all the alerts, performance monitoring data, and then we are able to work with our factory leaders to make sure that if there is a downtime required, how do we partner together so that we can be proactive and reduce the cycle time in the factory.
So all of this data that we are collecting is enabling us to build that foundation because eventually the goal is that we could have AI-powered surveillance that provides us real-time, not only threat detection — because that we are doing today — but more of that diagnosis and analysis in real time, which is a lot of what we talked about today.
Now, Missy talked about what are some of the challenges that we have for running silicon carbide, right? We already — you heard from her — have the temperature of the sun, you heard that it doesn't melt, so it evaporates, so precision is really key. And then you can only use one type of crystal from all the different crystals that can be manufactured with silicon carbide, so precision is obviously one of the challenges that we had to work with. And then within IT, we had to make sure that we are building those systems for that resiliency and precision, which we are utilizing Critical Manufacturing's IoT framework for that automation. Now for that automation, the three-way integration with external load port that I talked about, that is something that we had to templatize, we had to customize that and build that. And for every process module, it took us a few months to be able to do that, but we did it in a scalable architecture so that now if we have to deploy any one that we have already automated, it only takes us less than two weeks to be able to deploy that. So that's where our focus has been, making sure that we are able to build capabilities that allow us to scale, because we have another factory coming up in Saarlouis.
And I think most of you already know, right? This is not the first fully automated factory, but it's the first and only and largest fully automated 200-millimeter silicon carbide factory. So to do 200 millimeter, and plus the fact that we are vertically integrated, we had to build a lot of our tools ourselves as well. So not only customized software that we talked about, but also the tools that we had to work with. And one of the comparisons that I like to provide to my team so that they wrap their head around the overall integration is if you think about Tesla, right? They started as a software company and then they built cars, while we are working with a lot of the components that go in the car in any OEMs — Mercedes, we talked about JLR, and no, I'm not getting any commission from any of these to mention their names — but the challenge that they have is they have all these components that come with their own software, and now we are trying to combine. So for IT teams, it is really important for us to make sure that we build that integration right, and how we customize that integration is going to be that differentiating factor. So that's why I think that Wolfspeed Insights — that platform, that integration layer that you saw — is really key for us, and we decided, we made a decision to build that in-house because we wanted to make sure that all of that data, all of that secret sauce, is something that our team internally holds. As a matter of fact, we are actually doing a POC with large language model AI, and we are trying to collect all of that data today in our environment as well so that we can build solutions just like how you see on your phone. When you open up an email, it gives you suggested responses. That same response we want to make sure that we can provide in the factory process. So obviously accuracy and precision is key, so it'll take us a while to get there, but that's where we are starting to collect a lot of that data and doing some POCs today.
Now, technology is great, but more than technology, I think it's the people, right? Our CEO, Greg Lowe, he makes sure that our company has a very people-oriented culture. We are small relatively, we make sure that we are partners. Our OEM providers, we work very collaboratively with each other, and that's the culture that we build within our organization as well. That's why you see Missy and I sharing the stage today. I don't know how many semiconductor companies you see where an IT and a fab leader are presenting together. This is really something that I am really proud of, to be part of that team where we collaborate like that. We actually call our team 'One Pack' from our Wolfspeed pack, because that's how we like to operate, and that's one of the other differentiating factors that we have in our environment. So hopefully us sharing some key insights with you helped you. We understand and know that silicon carbide is far behind silicon, so we are not there in terms of all the technology that you heard from our 300-millimeter partners, but I think our accelerated journey to get to a fully operating automated factory in less than three years — we thought some of the key learnings we could share with you. Thank you.