How Lesta’s Robots Elevate Production and Automation in Wood Finishing

What does it mean to manufacture a stronger standard, at least it means to solve challenges and help manufacturers achieve more through our people, our technology and our belief that anything is possible? This is manufacturing a stronger standard. A podcast by Doug e! Hello, everyone, and welcome to a brand new episode of manufacturing, a stronger standard podcast from the experts. At least I'm your host, Tyler kernen. Thanks as always, for joining us for another episode of the program today. I'm joined once again on the show by Derek digby's, president of the gift corporation and bless the USA. Derek, welcome back to the show. How are you doing, man? Awesome Tyler, thank you. Well, I'm excited for this episode, Derek, because joining us is somebody that has a lot of years of experience in the wood and finishing industry. We're going to hear more about him, his stories from the industry and kind of launches into our topic today of discussing wusa, their entry into the wood market. So joining us today on the show is Igor khania. He is an application engineer and wood specialist at Lester. Igor, Thanks for coming on the show. I hope I didn't mess up your name too badly. I know it was a great. Thank you for having me. I hope we enjoy it. I'm excited to have Igor on the show, Derek. So introduce us a little bit more to Igor and tell us a little bit about his expertise and his experience in these areas. Yeah, Igor, I was introduced to Igor very soon after we started working with Lester in Italy. As soon as we were, we were going to start launching Lester over USA in the US and is immediately Igor came up and said, we got to hit the wood market. We got to go. It's time to go and let's move. And I said, we're getting there. What's what's work on it? And we're going to get it started. But I talked to Igor. He's got an extensive knowledge and a huge history in the Finnish inside. It's been an awesome resource. And I've learned a ton from just talking to him. And he's just been a lot of fun. And I brought him on today because I wanted him to share some of his experience. And then we're going to talk a little bit about what we've created together. We didn't want to just come here and just start throwing the solutions that were done in Europe over here to the US because we found that needs to be slightly different. So we really dug deep. We learned a ton from Igor and his different installations. He's done hundreds of robot wood applications over in Europe. And from that, we learned from the things that he was teaching us and how his experiences and the success that they're having over in Europe and then how we can adapt and use it here in the US market. And so I'm just excited. Introduced Igor to our listeners and a love for Igor. Can you just tell on this tell me a little bit about how you got started in the wood industry and in robots and kind of this that background, and then we'll kind of launch into kind of what the rest of us of our partnership has been. Your introduction, in a way, was what was really, really great. I would never make it better. I just want to add that I started to work in the industry. Basically, I started with the sweet 15 years ago. I think I made this choice because of two reasons. The first reason was that I was involved by people who I knew at the time, particularly this industry. As you know, we have metal and plastic and the other industries basically told it maybe three reasons. Second one is that the food industry is the major industry in the country where I lived in Poland and generally speaking, central Europe. Central Eastern Europe is a worldwide source of furniture. Poland right now, looking at the statistics and European data of 2020 nineteen, is the second biggest producer of furniture in Europe, the first exporter of furniture in Europe and the third biggest producer of furniture around the world. So obviously it was because of this. And the third reason, my personal ones that I never told you about this, but my grandfather was a carpenter. And when I was a kid, I was looking at him building, constructing and projecting his own chairs, tables and stuff like this. And probably because of this, I was kind of addicted to this. And I started as a salesman. I started as a simple consultant. And so I understood that without getting deeper in the real production, the real process of would I cannot be an expert. I cannot become an expert. I cannot be a specialist. So I started to walk by myself working on the different machines. I can operate the machine, I can open SQL. I sold my so I can operate sending machine and the other machines. And I was a printer too. And I honestly speaking, I enjoyed most of all painting. So finishing. Process I understood how important it is for the final product. I understood that the finishing makes the furniture beautiful, makes the furniture worth its price, and it makes it's the most satisfying part of the woodworking, if we divide it on different parts, starting from the road at the end, we have finishing and this is what I enjoyed the most. And the first robot speaking about the robotics, the first robot I personally was, was sitting so late, not so much later after I started there was in 2008 and it was five, six robots with a kowsar four painting wooden chairs. And it's working until now. Two or three years ago, I visited the same. The same customer is getting older. The owner and the people of the robot is still there. A lot of money because a fortune at the time now they're cheaper and more reasonable because there's more and more of these robots. What I can say about my experience is that last week I received an order for another robot with a calzone, which is going to pay pons of beds and chairs for children. It's not so complicated. It's very standard piece of machinery for us. But it's important for me because this is my robot number 100. So, yes, the next one will be I would start to go over 100 robots in my history. That's awesome. You need like a plaque or something for that one. I need to talk to Emma. I mean, you're going to have to go. I know I told him that and he was very happy. And you just reacted in a way. That's OK. Great congratulations. And maybe a watch or something. I watch the clock. I can get something like this or the corporations for 10 years, anniversary or 20th anniversary. Anyway, I really satisfied that I can say so. It is quite difficult to achieve for someone who is just starting to work in the business. And I have made it just learning everything by myself. I mean, no one ever told me how I can sell robots, how I can implement them into production, how I can improve the other people's production. This success, if I can say so, I can call it this way, came after years of getting experience of finishing and the other materials working right now, finishing because I'm not focusing or just not. Yeah, totally. I mean, I think the really cool part of Igor is we start talking is that it's look at you look at an application or the customer. And immediately it was going deep into lacquers, stains clear's topcoder flash times, process, process, process. And you really drove home the need to be able to understand those different types of processes. I come from the metal side, and so some of those were new to me. And I always felt like I was just curling up to a book or by the fireplace or something just to listen and learn. And I have I have pages and pages of notes I would continue to write. And so I learned a ton of stuff on that application side. And it really comes out of how passionate and important to understand that application side and how to adapt that to be able to use it in an automated way. And that's one of the unique things I've learned a lot about. And the other thing I think that came up eagler that was really surprised to me is I was initially thinking, OK, we've got these proven solution. Igor and Lester, they sold they've sold these helped out tons of customers in all kinds of different the wood industry, from furniture to cabinets to doors, all these different types. And we found is that when we were starting to look over here, that it's different. And can you kind of explain, Igor, a little bit more about Europe market in the US market? You're doing furniture. Why? why is it different? That's that was newt. I was very surprised about this. In fact, it is a bit different. I'm I cannot say that the production itself is completely different because obviously you are using the same machines, the same technologies and the same techniques, the same methods of treating wood and the other materials in the USA as we are using in Europe. But if we focus on the furniture, I have to say that a huge impact on our technology was made by IKEA. You know that brand very well. To explain your. You know, the idea of bringing the furniture completely disassembled in a box in the cotton boxes, which are already finished and you've got all the necessary screws and maisonette and some small tools into the boxes, and you assemble everything by yourself at home, ok? This is the main idea of this company and this brand, and it works very well is a huge one of the biggest, if not the biggest manufacturer and seller of the furniture in the world. And we have plenty of factories producing furniture, parts of furniture, for example, here in central Europe. But this idea changed this approach to bringing new furniture to your home, changed production. That's all since 60s or 70s. Now, after this long process, decades of change, we can say it was a revolutionary approach and it changed the complete production process. Now we are manufacturing 95 percent, maybe even more than this. 95% of production or furniture in Europe is the production of disassembled furniture. So simple parts like if you take a look at the cabinet, you've got left side by side, right side, both bottom, you've got drawers, you've got front side of the drawers and and handles here. Everything is manufactured, assembled. Then it's backed up through the soil, like the Carton boxes and shipped to the final users. Not in every case. I say 5% is still the same as in USA. And now if you jump to the USA, you still manufacture assemble furniture, which is great for me is really great because yes, it is great because the furniture manufacturing was like this at the very beginning. It was like this in 60s and 70s in Europe. Now we made it simple. Maybe it's for the production process is really simple. If you walk on parts, then on assembled cabinets. One of the other things that, Igor, is also that you guys use almost primarily all water-based. And I think that's kind of different over here. So our equipment, equipment, packages, the different types of things are doing. And that also impacts and changes the process steps and times as well. So I think that's another thing that's slightly different as we look at the different solutions that are over there. You know, one of the other things I think that we've seen over here is that we went out in the market, visited all kinds of different furniture makers to chair makers, to cabinet, to doors. We saw all kinds of different customers. And then we came back and started talking. And when it was slightly the process was slightly different. Or I think another major difference between Europe is you've had access to self-learning robots. You've been using robots over there for decades, where the wood industry over here is a little bit behind. Not only we're using different types of stains and lacquers and some of our applications stuff, but also not having that automation equipment, it changes your mindset. So views have generations of evolving companies using them over here. Now we come in and we show some of the solutions. So some videos to show how possible automation and self-learning robots make for the wood industry. These companies and I'm talking to some owners and their line people that totally all of a sudden outside of the box totally looking at what if we just what if we change this or we change that around it. A lot of times it isn't as simple as just dropping in, dropping a robot and saying, bam, done. So there's a lot of potential and evolution that I think that's going to happen over here in the North American market as we start to adapt these technologies. But it's going to rapidly take hold because we in the US have the same problems you have over theirs, finding people and trying to increase production and stay competitive. So it's going to be a really interesting mix as that continues to go. So I think one thing be interesting is to talk about we talk about carousels and we want to talk about the three types of kind of, I think, buckets that we found our customers in, that we have solutions that we've adapted from Europe and we're tailored now to bring to the US market that we're really excited to talk about. This is where we have some of these being installed now. And we have we're going to be launching some of these to the rest of the industry through coming up here very recently. So as we look them, we kind of came up with three solutions. One is tailored for I'd say that for the cabinet industry, the chairs, and then we have a. Furniture solution that we came up with that is tailored to the US market and what we saw out there from the manufacturers that we went to, and then also we have our door solution and some of them are using self-learning and some of them are using 3D autonomous scanning. And each of them is maximizing the potential of your painters and your current crew to be able to produce more. So can you tell us a little bit, Igor arabised, tell us a little bit about the carousel. I mean, that's let's start off there, that that's a solution that we didn't have to change very much at all for to be able to adapt to the US market. We've got self-learning options and 3D autonomous scanning options for the wood market. Specifically, I'd say it's coming from cabinets and chairs. But talk to me a little bit about what are some of the benefits and why who could use a carousel and how would that help them? You're right. I didn't I didn't mention different technology, different printing technology, which is water in Europe and still solvent in the USA, which is also, in my opinion, better because it looks better finishing and gives better quality because those are the most popular solutions we speak about available with the car. And this is the most popular solution here in Europe. Let me just say, not just in one country, but in a central Eastern Europe. So everywhere where we have massive wood production, massive industry, why they are popular because they are really compact, really small, and you have two in one. You have a painting robot which is replacing a munawar painting gone by the banker. And you have an internal, very small, very compact but internal transportation system, which is the castle itself. The benefits coming out of these two machines, the devices. The one is that you have not only thinking process fully optimized, but you have also transportation. And so logistics, internal logistics of the painting area finishing area also optimized the difference. As I was explaining, if you have let's take a look at the chairs is the best example because the easiest product to observe the differences. Painter Manuel painter has to bring the chair from somewhere from the floor, most of all, where they are stuck and waiting for the painting. He's got to take it. And it's not so easy to take it because the way it is he's got to take it right through the painting at the front of the painting world starts painting takes, let's say, 30 seconds, and then he's got to put the gun somewhere. The hawk takes the chair from the bottom, which is not easy. Again, Thanks the back and put it somewhere on the floor or on some court. This operation, bringing the chair to the bank and taking back takes the same time as painting. OK, 30 seconds. We've got 1 minute of work on one chair, which is divided. 30 seconds of pain painting process and 30 seconds of logistics. This is the production and it gives you an idea of how the production can be during the hour, during the shift. If you take a look at the chorizo, which is bringing the chair automatically without any consideration of the men of the operator of the table to process the colors, which is bringing the chair automatically to the painting area. OK, after painting a painting of the previous chair, it's finished. It takes three seconds and then another painting is just starting. And then in the same time, we're able to spanking the operator of the robot as a perfect time to take back the chair, put it somewhere on the back side and bring the new chair. We are not losing any time. So the painting time is equal to logistics time. It's very simple way to double the production. So any one of many of my customers is asking us what benefit they're about will bring to me if I will invest in and I say how many chairs you are you're painting right now, what is your production? And he says, 250 a day. And I said, OK, you can have 500 possible. Yes, it is possible. Can I show you how does it look like an object. Yes, you're right. It's so, so simple. I'm losing time because of the logistics. I cannot paint that that fast because the painter has to go back. Take that I was never thinking about this, and it's so, so clear, it's not super complicated when you take a look at this and is the easiest way to double the production, it would be about doubling the production. We speak about 100% more of your previous production, which is a really great result, which. You also have other companies. We've seen this ourselves. We had the same thing with one of our customers that were put in a carousel in where they had someone bringing the parts to them and then taking them away. It wasn't a straight 50% improvement because they had someone else doing the logistics. But now we're able to do that. Do we're still gaining more gun on time because it's always running. The paint are still set to put the spray gun on a hook, moved around, remove it or move around the part. And we're not spraying as often. So we increased our gun on time and we took men on manual operator for the logistic side out. So we took a two man operation down to one. And so they were going to actually be replacing two manual booths with one automated booth to start. And then they're going to be adding more and adding more robots into their production as well, because their goal wasn't to replace people. They needed more production. And so with the increased production, it wasn't that they were getting rid of people. There's a couple positions they could big boost they couldn't fill. And so then they were able to take the other one, spread them out over a more boost. Now we're getting almost double the production with the same amount of people and we didn't have unfilled positions that was hurting what we could accomplish on a daily basis. So that was, I think, really neat. I think you gave kind of per meter, square meters sprayed example you had from one of your customers. Could you tell us that really quick, the benefit, the other benefit of the cars and the painting or what? It's flexibility. You can have the same chorizo, the same training robot, and you can paint different, completely different products. You can paint boxes, you can paint rollers, you can paint cherche. You can paint parts of tables. You can paint pargneaux. So the furniture disassembled. According to my opinion, there's no limit. The only limitation that we hear is the dimensions of the maximum dimensions of the object that we would like to paint. But they are not so big. If everything is painted by the man, by the operator will be always possible for the robot because we just simulate manual operation and we just optimized. If we take a look at the furniture industry, we go to cabinets. We as I said, in Europe we produce cabinets and most of all these parts. So everything is disassembled. So there's more pods to be processed, there's more parts to be painted. And again, we've got the same model as the same conclusion. If a man really, really gave me skilled painter is able to work fast and I can give you some idea about how fast he can. He can, because I was doing that by myself and I know very well what does it mean and how much force, physical force does it take you can make being really skilled. Operator excuse painter. 50 square meters shift is considered a seven seven working hours. Normally it's eight, but you have to look lunch break and time to start up the whole system to clean up the grass and do some service operations. So we have seven hours and during the seven hours the men can be 50 square meters. No, they're all. But as we are using the calves and the six with six excuse for, I'm able to bring an average result, 15 to 20 square meters an hour. It's very easy calculation. You can pay 141 to 25 140 square meters during the same shift during which the painter is able to make maximum 50 square meters, we can double and triple the production using the colusa, which is a really great result. The first result, the second one I was painting by myself and I was also observing during the years how much the painter is slowing down because you have to, as we all understand, men cannot maintain the same speed using his muscles every single hour. OK, when he starts, he finished with the original speed, which is, let's say, 100% Then he slows down 10% every hour. I've made this observation many times and I was calculating, just using my mobile phone, just looking at the other. This doctor taking his time and he's slowing down to 10 percent, so probably he could he could walk, he could make something like 70 five, maybe 8 square meters an hour or a shift. But it's impossible because of the muscles. While Robert is maintaining the same speed all the time, you cannot he's not slowing down. And this is a simple way to keep the production on the same speed, to keep also the quality of at the same level. The other observation I was able to make and also observing myself as a white painting is that my hand is really precise. I cannot keep the same distance between the gum to the silver face. I cannot keep the same speed of my head. I cannot keep the same angle. And these are parameters which are constant, which are fixed, which are the same all the time, every hour, every month on the road. And this is how you can achieve better quality. I don't want to say to the man, the painter is getting worse quality. I'm just I want to say that everyone is looking for constant quality consistency. And that's given what we've said as we look at small companies, the big companies we're putting installations in now, where they have 60, 60 painters, everyone's different. Besides that, they have they've got a 20% no show rate every day, which is a whole another podcast episode doing it out. It's incredible how the people, all people are different at work, believe me or not. But I was always starting to paint a simple square piano, painting it from the left there. I don't know why it was just better for me while the others were painting from the right to the left. And it makes a difference. At the end of the day, you see that the quality is different. Also, while our installations where we are bringing these robots to the production, we are implementing them to the production. We do not just stop on mechanical or electrical installation. We always stop when we see the results of painting. So this robot is always connected to the painting equipment. We use the real paint, we use the real products of our customers, and we are painting them to have the best finishing result as he's expecting our customer. So we are checking the paint thickness and that is the difference between the painter and the robot. He's not the thickness check done after the robot is always equal and we check every four corners of the 1 meter squared panel and the thickness is always the same everywhere. White paint painter can give you differences which are not the best for the father process like sending. Right I think this is I think our conversation drifted into overall benefits, transcends all of our robot possibilities with the self-learning and the scanning as that goes to our what applications. But I think it's a good transition into the furniture side as well, because as we're talk about these benefits of the long day, numerous painters, all with different techniques, apply in different and and that's our quality standards continue to go up and we're still looking for and produce more at the same time. Naturally, this is it's a good segue into our furniture solution, too, because we actually took the carousel solution to a lot of our customer base and saying, how does this look? Is this something that would be a good fit for you? And one of the things that we saw and because as you had said earlier, that in the North America, so much more of our furniture is preassembled before painting over the furniture producers. We're going to they like the carousel. They love the production gain of the carousel and the size. But they have lines and they have lines of running and they want to keep their families together. And they want to do one table and all the chairs and they want to do one headboard full part in the side panels. And they want to do the dresser and all the drawers. They don't want them separated because they've got to come back together. Some of them have multiple lines to make one line. And so we kind of adapt to that and took that back and said, well, what if we can take this solution and come up with an economical card solution option? There's solutions out there. Some are very expensive. Couldn't come up with an economical solution for general industry to be able to give them adaptable, flexible way to be able to keep their part families together to better run them through their finishing line. And then some of them we're adding stancil, seal and topcoat, some of them we're doing the seal in the top coat. And it's just we've come up with a really cool solution for the furniture industry that we're going to be bringing into to the market and. We've got a couple they're going to be going in this year at some of our customers and we're going to be bringing it and showing it to the industry at the wood show in Vegas, AEW aifs. So we're super excited about this solution and it's giving them a flexible option to be able to pull carts on and off the system very quickly. You can preload, you can keep our families together. And that was one thing as we looked at the carousel solution, it's not a one size fits all. The carousel is super adaptable and flexible. But when we get into big furniture, getting a large dresser up onto a carousel arm gets to be kind of logistics and lifting issue. And so as we can preload large pieces of furniture on cart solutions, it's a lot easier to Prepon sand. And you're touching the part one time. So again, it gets on the cart and when it's on the cart, it doesn't have to leave the cartilage ready to ship. And so we've got a full system solution that we're bringing to the market in numerous different configurations to based off of what our customers are seeing. And it's a really, really exciting adaptation that we're bringing to the market. Let me just say that I like this because it's flexible as close as the other configurations of the robots are flexible is good, according to my opinion, because we can adopt a robot we had encouraged. We are adopting the local painting environment to our culture because of course I would take space. If we have a car line working an existing. And it's because of the production requirement, because of what's in a different way, probably not lockboxes, but the customer is working using orders. So he's got six years to produce. And one table and goes on to one or fewer cars. And we adopt our robot, which is really a simple thing to do. We just have to located somewhere in a good spot, the front of the painting wall, maybe inside of the painting booth doesn't take too much time. It doesn't take much space because it takes 4 to 4 meters. We just look at the robots somewhere inside of the painting booth and we connect it to the logistics of the line. And we walk. And it's perfectly designed for the US production type, which is, as I was explaining before, based on preassembled furniture. We don't want to change it just one hour, but to be adapted to it and it will give the same benefits, the same flexibility, the same consistency, the same growth of time of production. I think the other thing that was really cool is just in general, as I was moving into the wood market with our company, I was like, man, I don't I don't know wood. I mean, what am I going to bring to the wood market? How is this going to work? Got out and went to different manufacturers. And it was so cool is that I've been in manufacturing my whole life and at the end it was still manufacturing where going to a furniture producer and they're manufacturing furniture. It's like the same thing. We are talking the exact same language. It's process, procedure, flow. And so when we've done a lot of systems, conveyor systems, moving parts in, fixing them and doing small batch runs, that's what we've lived our whole life. So when we looked at their furniture and it's through like this is the same thing. So it was really exciting. So we kind of did some hybrids. We're bringing proven solutions for manufacturing and adapting them to the processes needed for the wood market. And that's how we developed our lust to use a card based card system that is going to use maximize the benefits of self-learning technology to be able to be flexibly change over very quickly, to be able to do small order batch runs of furniture, keep families together, touch at one time when you load it, and the next when you're shipping it. And so it's super cool thing. We're really excited and a lot more to come on that in the future. Kind of the last one I want to talk about round this thing up. Our last solution is the doors. I mean, door industries, totally different doors don't work well on carts. They don't work at all. There's they take up a ton of space, ton of room. And so we got to find a way. We've had customers come to us eager and they're killing their guys shoulders. I mean, it's up, down, up, down. Some of them are using manual conveyor. Lines and some of them are used in powered continuous lines and it's tough on a guy is you talk about the muscles in the wear and tear. There's a lot of shoulder motion to cover a door. And our self-learning robots are an option. We've got like three tailored options, scalable buildable solutions. We can move up from. We can go from self-learning. We can go to offline programming or 3D autonomous, complete scanning of the entire part where everything's taken care of automatically get the precision that you need. We can either save just straight time, we can add the precision and then of all the benefits of a robot. When you're doing dorce, you want to talk a little bit more about how what you see in the doors and maybe the specifics of the application types that you see for options for painting doors. And be kind of interesting that you were talking about this earlier about this, and I thought it was kind of interesting how you see flat lines working with doors and that process versus using robots to finish the entire door in one shot automatically. We know very well every one of us because we are surrounded by doors and it's very easy to check the how they are finished. It's very easy because we just have to touch them and we have to understand how unique that is. That product is different than furniture is different than just the material itself. So the type of wood is always different. And the surface, it's big. It's bigger than chairs because we speak about standard size 2 on 1 meter and it's very easy to see contaminations. It's very easy to see some mistakes. It has to be really equally painted, equally finished and the best if the door is painted without any marks of overlapping, without the crutches. Now we go to the major benefit of using robot against a flat line. If we use a robot adapted to the area or we can complete a painting process of one single door, no one working cycle just have to paint the front, have to paint the edges, and then we have to take it and paint the back. And then it was painted. We don't have to do anything else. We do not risk that locker. The paint is overlapped somewhere. We don't risk that we cover two times, just like we can do on the flat line. And we save time using precision and repeatability of there are what we can achieve the same thickness, the same coverage of the surface or the same quality. The door surface can be better prepared for harder process, which is going to be probably sending the flat line always requires double patenting. So you have to load the door on the line, which is lying down under the belt conveyor, which goes through all the machines like spraying machine and hearing, et cetera and few guards positioned over there. The door I'm moving across to the movement. They are painting, they are painting the edges and one side. Then you have to go through the drying section to the curing section and you have to go back through there. Now and put it again under the belt. It goes again through the whole line and you in the other side. But the same moment you are painting the edge again. So it's double painted while this was in the front and back side just on the one that's a waste of time and material. The thickness is completely different. This is not what you are looking for. You want to have the same thickness everywhere, all around the doors, not of different thicknesses here in the first. Second, if you programmed the robot well using self teaching or our skarner, then you can be sure and this is something that we do is a benefit coming from using a robot that we never mentioned before. But I just thought about this now, programs well done well by itself, teaching or using our common spring program is automatically generated by our software. Then we can save paint and we can save a lot of paint. You can save a minimum 10, 15, sometimes 20% of the single amount of paint used for the door and the total amount used for every never production. Why? because we are not converting. Empty space for painting the door, we are focusing on the surface. We are pointing the gun always directly to the surface and we can use only one gun. And again, if we want to do the same job using the first time we have four guns, as I was saying, there is no one can do a couple of guns, sometimes even more than four. So if you would compare paint consumption on the one gun painting a single door against four guns consumption, we spent a lot of time. It's not precise because there's no color, because it was not programmed by the man, by stitching. So the gun the guy was the painter was not pointing the gun to the surface. It's very same. Gun angle is wrong. Of course, it's simple machine spraying machine, which is just moving a few guns across the conveyor and they are always pointed in a fixed angle. You use you have to spend more paint, you have to paint in two cycles, another one. And at the end you have overlapped paint thickness on the edges while just one layer of lacquer on the top and backside of the door. I agree. I mean, the other type is the way that you can do doors that I've seen quite I've seen the flat line doors, your double handling stuff, same thing on the conveyor line so that companies that don't invest in the cost of a large, very expensive flat line have I've seen a lot of manual pull through conveyors. And then we have the same thing as we talked about the carousel, you're doubling your handling time of your logistics. So when you add the opportunity to add a robot in there and now we can automate the painting process, we can double the production capacity because we're taking the handling part out. We've also seen conveyor continuous lines. Igor, I don't know if you've seen this over there yet, but so they're using continuous line. But they paint some of them have turned the door sideways because they couldn't keep their painters there. That would go up and down all the way to the paint, the whole thing. And so you have you've just doubled the line size that you need, the amount of oven time that production is cut in half because you're the horizontal instead of vertical. And we add another company we visited that they really intrigued by the robot. They already had the continuous line and we could integrate right into it, but they painted side to side because it was easier on the shoulders of the painter instead of going vertical up and down and the end, as you say, the wasted paint, every time they get overspray, every time they go past painting left and right, left and right, there are ways to paint all the time. So there the paint savings they have when they went to scanning of the door to build the perfect overlap, the perfect distance going up and down, they cut their paint in half as well. So, I mean, it was a huge, huge benefit, productivity gain, saving materials, getting better quality as they are rotating painters in and out to better keep the line running. And they'd stop it for lunches and breaks. Huge, huge gain in production using the same equipment they already had. Of course, we printing robot working on the existing line. The door line is giving the same benefits as every other robot in the world. And from my point of view, because easy here, looking at the doors to have some mathematical observation of the paint consumption of the overspray, if we use the perfect solution, which is a scanner, the best would be a 3D koner, which is taking a precise dimension and position of the door in space. And if we use our software and we're thinking robot, we can even define what kind of overspray we will have because we can tend to start to open the garden centuries before touching the surface while bainter or any spraying machine installed on the flatline. We'll never do that. We'll never be able to have 2 meters or $0.2 overspray. And on the surface, it's not going to happen. Never I've never seen that in my life. So the benefits are really huge. I agree with you. It's going to be fun. So we're preparing to debut all of these that are at our booth at their next trade show. We also have all of them in our test lab to be able to replicate production environments for our customers and for demos and trials. So we're super excited about bringing these tailored solutions to the US. Leveraging the experience that Igor has had with his team and lesters knowledge and their depth of robotic applications of hybrid in that with our production environment. And engineering team. And there's some cool rapid R&D and adaption for the wood industry coming out and super stoked about it. Can't wait to be talking and meeting everyone very soon. Well, Derek, it does sound like a really exciting time. Let me toss it back to you just for final word here on the podcast before we say goodbye. The super stoked about having Igor with us today, talking about what we're bringing to the market, how we're adapting lesters technologies for the US market and bringing those proven solutions to the wood industry over here to be able to help our manufacturers continue to grow and production help, help and help their teams accomplish more. And there's just a lot of neat things to come. And the Finnish industry for wood and automation. And it's going to be a fun trip and I'm excited to do it with everybody else. Well, a lot to look forward to. And and once again, we were absolutely thrilled to have Igor on the show today. Igor, thank you so much for joining us and sharing your expertise and your experience over your years of work in this industry. Thanks again for joining us here on manufacturing a stronger standard. Thank you for having me here. You got it. And Derek, another episode in the books. Thanks for joining me once again for another episode. You bet, Tyler. It was a lot of fun. Thank you and everyone, thank you for tuning into another episode of manufacturing a stronger standard. If you not already subscribe to the podcast, make sure you go to your podcast app of choice hit subscribe and stay up to date with the latest insights from the guest. You want to know what they have coming out next and and what developments are going on throughout the industry. And so make sure to stay up to date with those things by subscribing to the podcast. And stay tuned because we have more episodes coming at you shortly. But for today, for my guests, Derek and Igor, I've been your host, Tyler Kern. Thanks for listening.