{"id":401,"date":"2024-03-20T12:42:25","date_gmt":"2024-03-20T16:42:25","guid":{"rendered":"https:\/\/blogs.sw.siemens.com\/industrial-machinery\/?p=401"},"modified":"2026-03-26T14:54:51","modified_gmt":"2026-03-26T18:54:51","slug":"unlock-smart-manufacturing-industrial-machines-podcast","status":"publish","type":"post","link":"https:\/\/blogs.sw.siemens.com\/industrial-machinery\/2024\/03\/20\/unlock-smart-manufacturing-industrial-machines-podcast\/","title":{"rendered":"Unlock the potential of smart manufacturing for industrial machines: Podcast"},"content":{"rendered":"\n<p>New technologies are paving the way for smart manufacturing. At the core, a digital transformation is changing the way industrial machines are designed, built and delivered.<\/p>\n\n\n\n<p>In a recent podcast hosted by Siemens Digital Industries Software, industry experts dove into the transformative power of smart manufacturing and its implications for the future.<\/p>\n\n\n\n<p>Host and marketing writer, Conor Pieck, led the discussion between Dale Tutt, VP of Industry Strategy, and Rahul Garg, VP of Industrial Machinery. With decades of experience between them, they provided valuable insights into the challenges and opportunities facing industrial machine manufacturers today.<\/p>\n\n\n\n<p><strong>Listen to the podcast:<\/strong><\/p>\n\n\n\n<figure class=\"wp-block-video\"><video controls poster=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/28\/2024\/03\/900.025_Image_Podcast1-Thumbnail.jpg\" src=\"https:\/\/videos.mentor-cdn.com\/mgc\/videos\/5400\/2991e362-cba3-4b92-a0c4-d822dafd6770-en-US-video.mp4\"><\/video><\/figure>\n\n\n\n<div class=\"wp-block-accordion-accordion-block accordion\" id=\"accordionExample\"><div class=\"card\"><div class=\"card-header\" id=\"headingOne\"><h2 class=\"mb-0\"><button class=\"btn btn-link btn-block text-left\" type=\"button\" id=\"accordion-btn\" data-toggle=\"collapse\" data-target=\"#accordion-id-4940\" aria-expanded=\"true\" aria-controls=\"accordion-id-4940\">Read the podcast transcript<\/button><\/h2><\/div><\/div><div class=\"collapse\" id=\"accordion-id-4940\" aria-labelledby=\"headingOne\" data-parent=\"#accordionExample\"><div class=\"card-body\" type=\"button\" id=\"accordion-btn\" data-toggle=\"collapse\" data-target=\"#accordion-id-4940\" aria-expanded=\"true\" aria-controls=\"accordion-id-4940\"><strong>Conor Peick:<\/strong> Hello, my name is Conor Pieck, one of your co-hosts for this podcast today, and I\u2019m a writer for Siemens Digital Industries Software\u2019s Thought Leadership team.<br><br>\n<strong>Dale Tutt:<\/strong> And I\u2019m Dale Tutt, Vice President of the Industry Strategy team at Siemens Digital Industries Software.<br><br>\n<strong>Conor Peick:<\/strong> So, in a new series of podcasts, Dale and I are going to be joined by seasoned experts from around Siemens Digital Industries Software to discuss the trends, technologies and opportunities affecting some of the largest and most important industries today. So, today, we\u2019re going to be joined by Rahul Garg, Vice President of the Industrial Machinery, and the SMB Program at Siemens Digital Industries Software \u2013 going to be saying that name a lot.<br><br>\nWe\u2019re going to discuss the trend towards smart manufacturing systems and how it is enabling companies to overcome the challenges of product complexity, sustainability and a whole lot more. So, welcome, Rahul. Thanks for joining us today. We\u2019re really excited to have you. So, just to get started, maybe you could give us a brief introduction of yourself, your experience and what you\u2019ve been doing in this fascinating industry.<br><br>\n<strong>Rahul Garg:<\/strong> Thank you, Conor and Dale. Very excited to be joining you all on this very important and emerging topic. I\u2019ve been in this industry for the last 30 years, helping customers leverage key technologies in their growth processes, and having been part of many startups, having faced many small and medium-sized companies, that is a part of the role I play. So, having worked very closely with the larger manufacturing companies building their own equipment and small manufacturing companies supplying to larger companies; it\u2019s been a very interesting journey for me, getting these companies to take advantage of new and emerging technologies in their growth processes.<br><br>\n<strong>Conor Peick:<\/strong> So, I think we\u2019ve got the right guy to cover this topic. That\u2019s what it sounds like. Rahul, what do you see as the major challenges in the industrial machinery and manufacturing industry today?<br><br>\n<strong>Rahul Garg:<\/strong> If you look at it from an Industrial Machinery perspective, Industrial Machinery is a very broad group of companies when I look at the customer base or the companies that I work with. They are the companies that provide the equipment that goes into a larger manufacturing company, and into a larger manufacturing organization. For example, the equipment that goes into the factory shop floor of General Motors or Lockheed where they are building the parts or assembling the equipment or their products. So, the companies that I typically work with are faced with pretty complex issues all the way from their end customers, demanding a lot of customization for their specific shop floor needs, making sure that the products that can be built from those machines can be done at the fastest possible time. Significant supply chain issues that most companies are facing today, even the key labor shortages. One of our customers I was just talking to yesterday in Germany, has openings for 350 engineers to keep up with the demand, so the backlog of orders that they have gotten, they cannot find enough people. It\u2019s definitely becoming a big issue. And then, obviously, meeting all of the needs of what their end customers are looking for, in terms of using less energy, less resources and making sure that their equipment is performing at the highest possible rates.<br><br>\n<strong>Dale Tutt:<\/strong> A lot of these challenges that you talk about are really common in a lot of our industries. I think, across the board, you see more and more demand for these highly customized products. And, of course, every company is dealing with supply chain problems right now. And I just think about some of the challenges that I\u2019ve seen throughout my career with the workforce and just getting enough people of the right skill sets to work on some of these areas. So, I\u2019m curious, how have you seen the Industrial Machinery industry and manufacturing companies really trying to tackle some of these challenges? What are the strategies that they\u2019ve been using?<br><br>\n<strong>Rahul Garg:<\/strong> One of the things that have happened is it started, perhaps pre-COVID, the pre-pandemic era where companies were overlooking as to how to take advantage of technologies \u2013 digitalization being one of those key enablers \u2013 to really bring their design manufacturing processes to the next level. The pandemic has hyper-propelled that process where these companies are now needing it and see it as a necessity to drive digitalization into their businesses. And as part of that process of driving is how they will build these machines to become smarter, and obviously, enable their end customers to make their manufacturing processes smart as well.<br><br>\nThe whole concept of smart factories leads the equipment manufacturers to create and build those smart factories or smart machines. So, I definitely see digitalization as a very important enabler that is going to necessitate companies to start doing things differently and continue to strive in this highly competitive market. And as part of that process of digitalization, there are some key capabilities that they are beginning to think about. One is this whole concept of OT and IT convergence. This is a very important area for the equipment manufacturers, as they look at how their end customers will be using their technology or using their equipment or their machines or their products. Looking at closed-loop manufacturing and execution; how the actual process is going to be delivered; how the customer orders will be delivered in the fastest possible way. And then looking at closed-loop quality, ensuring that the products and the parts are delivered right the first time. So, these are some next-level details in terms of the whole digitalization concept that companies are looking at.<br><br>\n<strong>Conor Peick:<\/strong> I\u2019m glad that you brought some of those things up. And I think before we get into the idea of smart machines and smart manufacturing, Rahul, I\u2019d like to dive a bit more into those topics you just mentioned; the idea of OT\/IT convergence and closed-loop manufacturing and things like that.<br><br>\n<strong>Dale Tutt:<\/strong> Rahul has really made some good points on these topics. And I\u2019m excited about what we\u2019re seeing with the convergence of some of these operations. The factory operations are now starting to become more holistic with facility operations. So, can you elaborate on some of those things that you\u2019ve mentioned? How are these manufacturers really leveraging this digitalization manager, or to improve the processes and their facilities across all their operations?<br><br>\n<strong>Rahul Garg:<\/strong> Let\u2019s just take one at a time. So, the whole concept of OT and IT convergence. This topic is something that\u2019s been spoken about, to be honest, for quite a few years now. But it\u2019s coming to a head where companies are recognizing that they must look at this very seriously, because this convergence is becoming real as possible now. It\u2019s something that is necessary to drive the production efficiencies that they\u2019re looking for; and to drive the operational efficiencies that companies desire. What this whole process allows you to do is, through the whole OT (Operation Technology capabilities) you are able to monitor very closely what\u2019s happening on the factory floor, and the operations that are occurring on the factory floor. And with IT, you are managing the business operations and the business systems. So, this whole idea of OT and IT convergence, what you\u2019re enabling is real-time process capabilities that can monitor what\u2019s happening on the shop floor, and the business impact that is happening with the work going on the shop floor. And at the same time it is enabling the shop floor to react in a more expedited manner to requirements that may be coming from the business systems. Customer orders changing, providing more flexibility into your manufacturing operations; we spoke about the ability to drive more customized orders. So, all of that is driven through a business operation system, and ensuring that the production shop floor systems can react to those changing demands in a very quick, flexible way. So, that\u2019s the whole value that OT\/IT convergence is going to provide that extreme flexibility and extreme visibility to driver changes as necessary. That\u2019s one key topic, Dale, as you were just talking about.<br><br>\nThe other big area is around this whole concept of closed-loop manufacturing and execution. This is where you\u2019re trying to get to the next level of detail and providing better controls throughout your manufacturing operations to effectively maximize your production throughput. Every factory is trying to figure out how to get the maximum out of the assets that have been used in the factory. So, this whole closed-loop manufacturing process ensures that the customer orders that are coming in are scheduled in the right way; tracked in the right way; and that they are being billed to the right designs that they were created for by engineering systems. And once the orders go through the execution process, once the orders are being fulfilled, once the products are being delivered; you then have the ability to provide feedback into your order systems and into your engineering systems. Because as you typically go along, there are issues that you may encounter during the manufacturing process that may have not been captured or have not been thought about in your engineering systems. So, having that closed-loop manufacturing execution system allows you to bring some diverse organizations in a typical company together to make it very easy to have that constant monitoring.<br><br>\n<strong>Conor Peick:<\/strong> What about automating facilities and some of the processes that go on within there? Does digitalization help manufacturers increase the amount of automation in a facility?<br><br>\n<strong>Rahul Garg:<\/strong> Oh, for sure. To me, I think of digitalization or automation as the new equalizer. In the past, automation was caught off as something that\u2019s going to help reduce your cost. But now, it\u2019s really helping you go to the next level of ensuring high availability, helping you manage your supply chain in a much better way, and most importantly, improving your time-to-market. That\u2019s one of the big challenges that most companies are facing today because of supply chain issues and other challenges like labor shortages. So, that whole time-to-market can be significantly improved taking advantage of automation. That\u2019s something I really see as a big advantage going forward.<br><br>\n<strong>Dale Tutt:<\/strong> Excellent points. I was excited about the automation that you can put into the factories now, and how much has changed over the years in so many industries. We\u2019ve been talking about flexibility for a long time. But it really seems that as companies start to adopt automation, they go through a lot of work: designing, and then testing, and then verifying that the robots and the automation that they\u2019re adding, that it works properly. And a lot of times they become these big monolithic structures within their facilities. But obviously, robots are still very valuable to the manufacturing industry, but how can you adapt them that they become much more flexible so that they\u2019re more in line with the needs of modern manufacturing as opposed to being these large, monolithic structures within a manufacturing facility?<br><br>\n<strong>Rahul Garg:<\/strong> That\u2019s a great point and great question there, Dale. The way I look at it is with the challenges of today around supply chain global uncertainty; many companies are looking to bring their manufacturing facilities back onshore. And that is becoming a big driver, in terms of them looking to change the way they do their manufacturing and making sure that it is competitive with what was there before, and making sure that it gives them the ability to remain competitive going forward as well. So, automation, robotics, is something that\u2019s going to become very, very key, and then this move-forward; even helping you all the way from reducing the effort to even including robots in your manufacturing process. But they are working together with the humans, becoming a \u201ccobot,\u201d as one would call it; helping the human being lift heavy objects, move sensitive objects around as necessary, and being more agile and flexible in that process as well. So, this is something that\u2019s really going to be driving a lot of changes in the way companies take advantage of automation and robotics, for sure. And a lot of that being driven by a need to have manufacturing facilities as close as possible to where the products are going to be used and not relying on some offshore capabilities.<br><br>\n<strong>Dale Tutt:<\/strong> It\u2019s very exciting that the automation and digitalization, it\u2019s going to give a lot of flexibility. And it can really go a long way toward reducing some of the disruptions that we see on the factory floor, whether it\u2019s design changes, you\u2019re able to adapt a little bit more quickly, or closing some of the gaps on the labor shortages that we see in so many locations nowadays. And it is a great opportunity, as companies start to restore some of their factories, and they\u2019re maybe setting up more greenfields that they look more at automation and robotics. And with the digital twin in play now, you can certainly stand up these facilities a lot faster. It\u2019s hard to imagine you\u2019re working side by side with a robot, that\u2019s probably something we would not have thought about 10 or 15 years ago. But they\u2019re probably going to be a lot quieter, won\u2019t tell bad jokes, so that\u2019s okay. So, anyway, moving on. You also mentioned closed-loop manufacturing, which is really a key part to really making sure that your processes are working as intended and you can optimize them. So, you mentioned closed loop quality as part of that. What do you mean by closed-loop quality?<br><br>\n<strong>Rahul Garg:<\/strong> To me, quality is, obviously, a well-defined term: You have some expectations and you\u2019re making sure that your product outcome is meeting those expectations. So, closed-loop quality is basically ensuring that you are optimizing, and then having complete visibility all the way from planning to quality, to delivering on the quality, and then, obviously, minimizing scrap rework and improving the overall product that\u2019s taken to market. As part of that whole process, what customers need to do is plan for the quality upfront and develop well-defined capabilities and expectations, define failure modes right up front so you know what to expect and how to address those issues, and even look at environmental conditions that may impact your quality and your overall production processes to make sure of the way you are going to be resolving those kinds of environmental condition changes. And that\u2019s where even better definitions become more critical. And then, based on those issues and ensuring that as you\u2019re assembling your parts, your systems, you check against those engineering requirements or the quality requirements that have been set up upfront. And most importantly, monitoring through that process, capturing requirements, or the as-built conditions, doing a check against the closed process. It is data collection, and then feeding it back to your front-end design process and looking for non-conformance and compliance.<br><br>\n<strong>Conor Peick:<\/strong> So, Rahul, that sounds a bit like MBSE to me, that idea of collecting requirements and making sure that you\u2019re tracking data throughout the lifecycle. Is that something that manufacturers are looking into or something that they\u2019re dealing with?<br><br>\n<strong>Rahul Garg:<\/strong> That\u2019s a very interesting comment. MBSE, Model-Based Systems Engineering, is not exactly a term, Conor, that most manufacturers would use in the concept of manufacturing. It\u2019s, typically, as a concept thought of as something that\u2019s most relevant and useful for the front-end design and engineering processes. Just based on the question, and if we take a step back; conceptually, MBSE actually makes a lot of sense. Having a requirements-driven process to drive your production and drive your quality, certainly is part of your closed-loop quality process. So, this probably needs some more discussion; it maybe a topic for us to further deep dive into in the next conversation.<br><br>\n<strong>Conor Peick:<\/strong> Well, hopefully, I haven\u2019t started any internal fires or anything with that question.<br><br>\n<strong>Dale Tutt:<\/strong> As we look forward, you realize the closed-loop quality and whatever we\u2019re going to call our MBSE process. All this will require machines that have intelligence and connectivity to be able to really maximize the opportunity for data to be gathered, and then really processed to get the insights that you need by pulling this data from the edge and feeding it back into the digital twin so that you can use that information and optimize your processes. So, my question then is what\u2019s involved in the creation of these smart machines to help realize this future vision of work in our factories?<br><br>\n<strong>Rahul Garg:<\/strong> The whole concept of smart machines is twofold. One is ensuring that as you\u2019re designing the machines, as you\u2019re building the machines; you can capture information about how the machine is performing. So, it\u2019s that front-end design engineering process, making sure that you\u2019re capturing all the right relevant information from the machine. It could be something as simple as a temperature on a motor to the vibration on a spindle unit. All of these are very critical pieces that feed a lot of intelligence into how the machine is performing. And that\u2019s where the smartness comes in, as now you can capture the usage of the of the machine and how it\u2019s being leveraged on the floor. And being smart enough to recognize any issues that may come down the road. Typically, any heat or electrical spikes are indications of something going wrong. So, being able to monitor that information and saying, \u201cOkay, hey, wait a second, I\u2019m sensing a lot of heat in this area.\u201d Typically, if there\u2019s heat going in there, maybe there\u2019s a bearing that\u2019s potentially going to be breaking. If the bearing is going to be breaking some critical part of your machine is going to break down. So, before you have that breakdown, you recognize that upfront heat moment and use that intelligence to create some proactive action. So, that\u2019s where many of the smart machine design processes are coming into the picture, which are going to lead to the smart manufacturing processes. So, really making it easy for customers to have a more agile and adaptable manufacturing process, so that they can ensure, eventually, what companies are looking for. The Triple Zero concept: Zero downtime, zero defect and zero harm. So, that\u2019s where the whole concept of smart machines can really be leveraged by manufacturing companies.<br><br>\n<strong>Dale Tutt:<\/strong> That\u2019s very interesting. Let\u2019s dive into that a bit more. As I think about factory environments, when you have a machine go down, obviously, you have an unscheduled downtime within the factory, and that\u2019s a huge disruption for the factory and all the people around it and the other equipment, creating bottlenecks. But the other downside is that when those machines break down, there\u2019s usually something being made on that machine. And it\u2019s not uncommon for that part to get scrapped or require some serious rework because the machine didn\u2019t do what it was supposed to do. So, it is vitally important for a lot of our customers and manufacturing companies around the world to help manage that process better and be more predictive. So, what kind of technologies are we talking about? Presumably, I guess this technology is being integrated both at the individual machines themselves, but then also being integrated at the factory level. Is that correct?<br><br>\n<strong>Rahul Garg:<\/strong> That\u2019s pretty much right. Technology is enabling this kind of smartness to come into the whole manufacturing process. Some key capabilities are encompassing a few of them, I can mention IoT, which really allows you to capture real-time information around the performance of the machine. So, that\u2019s where the IoT technologies come into picture. Secondly, Edge devices, which enable you to do a lot of processing right on the shop floor, where you don\u2019t have to feed the information to some remote side to make any decisions. Thirdly, artificial intelligence and machine learning \u2013 again, another key capability that can be used to be more proactive in the way issues are identified; by collecting a lot of data, looking for non-conformance, non-regular data, and being able to quickly make decisions on that kind of information. Finally, the whole concept of the digital twin. To me, this is truly one of the most critical game-changers in terms of how companies can really set themselves up for the future; by having a digital twin of your machine, and being able to see how your machines in your factories are performing, and being able to evaluate the changes that may be necessary on a digital environment first before introducing it into your factory. A change in a digital environment doesn\u2019t cost anything; it\u2019s a zero cost. It makes it very easy for you to do many things differently, if you choose to, before you instantiated on your production floor or before instantiated in your mission. So, these are some unique capabilities that have come to bear over the last few years. And customers are slowly but surely recognizing it and starting to take advantage of this in a very aggressive manner.\nConor Peick: That\u2019s really fascinating. Before we close out for the day, Dale, do you have any last questions or thoughts for Rahul? And Rahul if you have anything you\u2019d like to address, here\u2019s some space to do that as well.<br><br>\n<strong>Dale Tutt:<\/strong> Thank you, Conor, and Rahul, for this discussion today. But one of the things that I\u2019ve been thinking about is how much this is going to change the future of work; how we work and how people work in these factories, and how they interact with the machines and the equipment around them, and how do we make parts. So, there\u2019s pretty big element of changing the lives of the factory workers, and I think in a good way. But then there\u2019s one other aspect that maybe we can touch on here as we wrap up. We\u2019ve talked a lot about how we\u2019re working in the factory, but we haven\u2019t really talked too much about what\u2019s the impact on sustainability and the energy usage within a factory, or the waste that\u2019s maybe being created through some of these manufacturing processes. So, I think, there are some opportunities there as well. And maybe Rahul, I\u2019d like to hear some of your thoughts on that as well as we look at what the future of work looks like for these factories.<br><br>\n<strong>Rahul Garg:<\/strong> If you look at the overall sustainability-related impact globally in the environment, there are two or three big contributing factors. One of them is what we typically think about in terms of gasoline, and vehicle movements, and passenger cars, and trucks and all that. But one of the biggest contributing factors to energy consumption are factories. They are the engines of the world producing goods; and to run those engines, you need energy; to get energy, you have to rely on some fossil fuel or some other mechanism to, eventually, drive the electricity requirements of factories. And those are, obviously, huge contributors to the environment. Anytime we can think about how to reduce a 5% change in electrical power requirements of a motor, which is typically the equipment that\u2019s \u201crunning the factory,\u201d having a huge impact. So, from my point of view, I think sustainability, and factories manufacturing machines, they have a very strong relationship, and a strong potential for a huge impact on what kind of an effect we have on our planet.<br><br>\n<strong>Dale Tutt:<\/strong> Excellent, great insight on that, Rahul. Thank you.<br><br>\n<strong>Conor Peick:<\/strong> Well, Dale and Rahul, thank you guys, again, for joining me today. And I really enjoyed having this discussion and getting to hear both of your expertise on some of these topics. So, just to wrap up, I would like to thank the listeners as well for coming in, and we\u2019ll be back in the future with another expert from Siemens. So, until then, take care yourself, and we\u2019ll see you soon.<\/div><\/div><\/div>\n\n\n\n<h2 class=\"wp-block-heading\">How smart manufacturing drives efficiency and competitiveness<\/h2>\n\n\n\n<p>Industrial machinery companies are navigating a complex landscape aiming to meet the customization demands of their customers while trying to overcome supply chain disruptions and labor shortages. To do this, machine builders, OEMs and component manufacturers are turning to smart manufacturing solutions \u2013 a combination of digital tools \u2013 to create a more flexible and adaptable production process, operate more efficiently and improve product quality.<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p><em>Companies were overlooking as to how to take advantage of technologies \u2013 digitalization being one of those key enablers \u2013 to really bring their design manufacturing processes to the next level.<\/em><\/p>\n<cite>Rahul Garg, VP Industrial Machinery, Siemens Digital Industries Software<\/cite><\/blockquote>\n\n\n\n<p>Digitalization has the potential to accelerate the entire manufacturing process from planning to execution and optimization.<\/p>\n\n\n\n<p>Manufacturing planning sets the stage for success. Simulation tools use the digital twin to allow engineers to create and optimize flexible manufacturing processes from the beginning. Manufacturers can gain greater efficiency more quickly and more cost-effectively. When manufacturers preemptively address issues before they escalate, it lays the groundwork for seamless production.<\/p>\n\n\n\n<p>A manufacturing execution system (MES) like Opcenter gives manufacturers the ability to execute production effectively and efficiently. An MES gives operators the visibility they need to find bottlenecks and make improvements informed by data.<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p><em>Digitalization, it\u2019s going to give a lot of flexibility. And it can really go a long way toward reducing some of the disruptions that we see on the factory floor, whether it\u2019s design changes, you\u2019re able to adapt a little bit more quickly, or closing some of the gaps on the labor shortages that we see in so many locations nowadays.<\/em><\/p>\n<cite>Dale Tutt, VP Industry Strategy, Siemens Digital Industries Software<\/cite><\/blockquote>\n\n\n\n<p>All of this eventually leads to closed-loop manufacturing. As smart machines with IoT integration, edge computing and artificial intelligence become more prevalent, manufacturers will have access to real-time data analytics for better visibility as to what\u2019s happening on the factory floor. This means manufacturers can proactively identify and address potential issues to minimize downtime and improve product quality.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Embracing smart manufacturing for a better future<\/h2>\n\n\n\n<p>The conversations captured in this podcast highlight the transformative impact smart manufacturing can have on the machinery industry. With innovative technologies and strategic partnerships, manufacturers can embrace a more efficient, sustainable future in the digital age.<\/p>\n\n\n\n<p>Smart manufacturing solutions are a catalyst for innovation and progress in the industrial landscape. As industrial machine manufacturing continues to evolve, embracing technological advancements will be paramount in shaping a future defined by efficiency, sustainability and resilience.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Listen to more smart manufacturing podcasts<\/h2>\n\n\n\n<p>Episode 2: <a href=\"https:\/\/blogs.sw.siemens.com\/industrial-machinery\/2024\/03\/20\/it-ot-convergence-enables-smart-manufacturing-podcast\/\">How IT\/OT convergence enables smart manufacturing<\/a><\/p>\n\n\n\n<p>Episode 3: <a href=\"https:\/\/blogs.sw.siemens.com\/industrial-machinery\/2024\/03\/20\/unveiling-power-of-closed-loop-manufacturing-podcast\/\">Unveiling the Power of Closed-Loop Manufacturing<\/a><\/p>\n\n\n\n<p>Episode 4: <a href=\"https:\/\/blogs.sw.siemens.com\/industrial-machinery\/2024\/03\/20\/closed-loop-quality-smart-manufacturing-podcast\/\">Closed-loop quality in smart manufacturing<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>New technologies are paving the way for smart manufacturing. 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