3D Printing a Human Heart Valve

DR. FRANCIS COLLINS| October 10, 2019
3D PRINTING A HUMAN HEART VALVE
It is now possible to pull up the design of a guitar on a computer screen and print out its parts on a 3D printer equipped with special metal or plastic inks. The same technological ingenuity is also now being applied with bioinks-printable gels containing supportive biomaterials and/or cells-to print out tissue, bone, blood vessels, and, even perhaps one day, viable organs.

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Pendragon PLC

Pendragon PLC is the leading independent operator of franchised motor car dealerships in the UK, operating over 220 locations nationwide. Evans Halshaw is the UK's leading volume car, van and truck retailer, working with many of the world's leading car manufacturers across 130 locations, including Ford, Citroen, DS, Renault, Vauxhall, Dacia, Nissan, DAF, Honda, Hyundai, Kia, Peugeot and SEAT.

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Is Additive Manufacturing the Key to Restore American Manufacturing?

Article | November 20, 2021

Additive manufacturing in America plays a significant part in reviving the manufacturing industry and establishing the country as a leader in applying additive manufacturing technology. The United States was formerly the industrial leader, but it fell out of favor between 2000 and 2010 for many reasons, including recession and structural and financial instability. In this challenging time, technology interventions such as additive manufacturing in the manufacturing business have allowed the industry to survive. As per the recent report by A.T. Kearney, the USA, the industry leader in manufacturing, has worked hard to reclaim its top position in manufacturing and has also been named the leader in additive manufacturing. Let's look at which fields of America are utilizing the benefits of additive manufacturing technology to reclaim its position as the industry leader. Additive Manufacturing in America The manufacturing industry is gravitating toward additive manufacturing, sometimes known as 3D printing. The numerous advantages of additive manufacturing, such as the reduction of material waste, the reduction of prototyping time, the reduction of prototyping costs, the creation of lightweight objects, and the ease with which it can be implemented and recreated, are making it more popular around the world, including in the United States. In the United States, the additive manufacturing and material industry is expected to be worth $4.1 billion by 2020. China is the world's second-largest economy and is expected to reach a projected market size of US$14.5 billion by 2027, with a CAGR of 27.2 percent from 2020 to 2027. How does America Leverage the Additive Manufacturing? US Airforce has launched research into 3D printing The US Air Force has begun researching 3D printing replacement parts for old planes utilizing a 3D printing platform. The project initiative credit goes to 3D Systems, Lockheed Martin, Orbital ATK, and Northrop Grumman. America Makes will observe the project in its third stage and be led by the University of Dayton Research. The Air Force Laboratory financed the Maturation of Advanced Manufacturing for Low-Cost Sustainment (MAMLS) program. The US Air Force will investigate how the 3D printing technology may reproduce components for outdated aircraft. Using additive manufacturing, the replacement parts may be created faster and in smaller batches, with no minimum order quantity. In addition, applying additive manufacturing will reduce the aircraft ground time and eliminate the need for parts warehousing. American Manufacturing Companies and Additive Manufacturing 3D Systems, Inc. 3D Systems is an additive manufacturing company. Their work goes beyond prototyping. The company's experts use their deep domain expertise in aerospace and healthcare industries to produce competitive additive manufacturing solutions. This global leader in additive manufacturing helps you define business needs, verify manufacturing flow, and scale manufacturing flow. General Electric GE has seen the benefits of additive manufacturing and its options for product design, such as the potential to build lighter, more vital components and systems. As a result, they created goods that are better performing, more sophisticated in design, and easier to produce. Ford Ford's advanced manufacturing center in Michigan is all about additive manufacturing. The company employs 3D printing extensively in product development and is looking to integrate it into manufacturing lines. As a result, additive manufacturing is now a critical aspect of the Ford product development cycle, enabling prototype parts and product engineering exercises. Final Words The American manufacturing industry has experienced a renaissance as a result of the advent of additive manufacturing. Additionally, it has built its national accelerator and leading collaborative partner in additive manufacturing, "America Makes," which is the largest manufacturing industryglobally in terms of revenue and operates in a variety of areas. However, it is mainly focused on 3D printing or additive manufacturing, which is undoubtedly reviving the country's manufacturing sector. FAQ What are the significant challenges in additive manufacturing? Limitations in terms of size, consistency of quality, scalability, a limited variety of materials and high material costs, and limited multi-material capabilities are only a few of the prevalent issues associated with additive manufacturing technology. Which company is leading in additive manufacturing technology in the USA? 3D Systems Corp. is the leading company in additive manufacturing technology with a revenue of $566.6 million. { "@context": "https://schema.org", "@type": "FAQPage", "mainEntity": [{ "@type": "Question", "name": "What are the significant challenges in additive manufacturing?", "acceptedAnswer": { "@type": "Answer", "text": "Limitations in terms of size, consistency of quality, scalability, a limited variety of materials and high material costs, and limited multi-material capabilities are only a few of the prevalent issues associated with additive manufacturing technology." } },{ "@type": "Question", "name": "Which company is leading in additive manufacturing technology in the USA?", "acceptedAnswer": { "@type": "Answer", "text": "3D Systems Corp. is the leading company in additive manufacturing technology with a revenue of $566.6 million." } }] }

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Scaling, Optimizing & Pivoting with Smart Manufacturing Industry 4.0

Article | January 20, 2022

A smart factory that leverages Industry 4.0 concepts to elevate its operations has long been a model for other industries that are still figuring out how to travel the digital manufacturing route. Smart manufacturing technology is all you need to know if you're looking to cash in on this trend. “Industry 4.0 is not really a revolution. It’s more of an evolution.” – Christian Kubis In this article, we'll look at the advantages that many smart factory pioneers are getting from their smart factories. In addition, we will look at the top smart factory examples and understand how they applied the Industry 4.0 idea and excelled in their smart manufacturing adoption. Industry 4.0 Technology Benefits Manufacturing Industry 4.0 has several benefits that can alter the operations of manufacturers. Beyond optimization and automation, smart manufacturing Industry 4.0 aims to uncover new business prospects and models by increasing the efficiency, speed, and customer focus of manufacturing and associated industries. Key benefits of Manufacturing Industry 4.0 in production include: Improved productivity and efficiency Increased collaboration and knowledge sharing Better agility and adaptability Facilitates compliance Improved customer experience Reduced costs and increased profitability Creates opportunities for innovation Increased revenues World Smart Factory Case Studies and Lessons to Be Learned Schneider Electric, France SAS Schneider Electric's le Vaudreuil plant is a prime example of a smart factory Industry 4.0, having been regarded as one of the most modern manufacturing facilities in the world, utilizing Fourth Industrial Revolution technologies on a large scale. The factory has included cutting-edge digital technology, such as the EcoStruxureTM Augmented Operator Advisor, which enables operators to use augmented reality to accelerate operation and maintenance, resulting in a 2–7% increase in productivity. EcoStruxureTM Resource Advisor's initial deployment saves up to 30% on energy and contributes to long-term improvement. Johnson & Johnson DePuy Synthes, Ireland DePuy Synthes' medical device manufacturing plant, which started in 1997, just underwent a multimillion-dollar makeover to better integrate digitalization and Industry 4.0 smart manufacturing. Johnson & Johnson made a big investment in the Internet of Things. By linking equipment, the factory used IoT technology to create digital representations of physical assets (referred to as “digital twins”). These digital twins resulted in sophisticated machine insights. As a result of these insights, the company was able to reduce operating expenditures while simultaneously reducing machine downtime. Bosch, China Bosch's Wuxi factory's digital transformation uses IIoT and big data. The company integrates its systems to keep track of the whole production process at its facilities. Embedding sensors in production machinery collects data on machine status and cycle time. When data is collected, complicated data analytics tools analyze it in real-time and alert workers to production bottlenecks. This strategy helps forecast equipment failures and allows the organization to arrange maintenance ahead of time. As a consequence, the manufacturer's equipment may run for longer. The Tesla Gigafactory, Germany According to Tesla, the Berlin Gigafactory is the world's most advanced high-volume electric vehicle production plant. On a 300-hectare facility in Grünheide, it produces batteries, powertrains, and cars, starting with the Model Y and Model 3. For Tesla, the goal is not merely to make a smart car, but also to construct a smart factory. The plant's photographs reveal an Industry 4.0 smart factory with solar panels on the roof, resulting in a more sustainable production method. On its official website, Tesla claimed to use cutting-edge casting methods and a highly efficient body shop to improve car safety. Tesla's relentless pursuit of manufacturing efficiency has allowed them to revolutionize the car industry. Haier, China The SmartFactoryKL was established to pave the way for the future's "intelligent factory." It is the world's first manufacturer-independent Industry 4.0 production facility, demonstrating the value of high-quality, flexible manufacturing and the effectiveness with which it can be deployed. The last four years, SmartFactoryKL has been guided by particular strategic objectives that drive innovation; the aim is to see artificial intelligence integrated into production. Two instances of AI-driven transformations include an "order-to-make' mass customization platform and a remote AI-enabled, intelligent service cloud platform that anticipates maintenance needs before they occur. Final Words Enabling smart manufacturing means using the latest technology to improve processes and products. The aforementioned smart factory examples are industry leaders and are thriving by implementing Industry 4.0 technology. Small and medium-sized enterprises (SMEs) may use these smart factory examples to learn about the adoption process, challenges, and solutions. Industry 4.0 is aimed at improving enterprises and minimizing human effort in general. So adopt the smart factory concept and be productive. FAQ What is the difference between a smart factory and a digital factory? The digital factory enables the planning of factories using virtual reality and models, whereas the smart factory enables the operation and optimization of factories in real time. Where does Industry 4.0 come from? The term "Industry 4.0" was coined in Germany to represent data-driven, AI-powered, networked "smart factories" as the fourth industrial revolution's forerunner.

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Building a Smart Factory is Possible Using Machine Learning

Article | December 7, 2021

Machine learning in manufacturing is becoming more widespread, with businesses like GE, Siemens, Intel, Bosch, NVIDIA, and Microsoft all investing heavily in machine learning-based ways to enhance manufacturing. Machine learning is predicted to expand from $1 billion in 2016 to USD 9 billion by 2022at a compound annual growth rate (CAGR) of 44% throughout the forecast period, according to Markets & Markets. The technology is being utilized to cut labor costs, achieve better transition times, and increase manufacturing speed. “I advocate business leaders get to know more about what AI can do and then leverage AI in proofs of concept.” – Michael Walton, Director and Industry Executive, Microsoft speaking with Media 7 Machine learning can help enhance manufacturing processes at the industrial level. This can be achieved by assessing current manufacturing models and identifying flaws and pain factors. Businesses can rapidly address any difficulties to keep the manufacturing pipeline running smoothly. Let us explore how machine learning is transforming manufacturing operations. How Machine Learning Is Transforming Manufacturing Operations “The greatest benefit of machine learning may ultimately be not what the machines learn but what we learn by teaching them.” - Pedro Domingos Machine learning in manufacturing is revolutionizing manufacturing operations and making them more advanced and result-oriented, so let's have a look at how this is unfolding. Allows for Predictive Maintenance Machine learning provides predictive maintenance by forecasting equipment breakdowns and eliminating wasteful downtime. Manufacturers spend far too much time correcting problems instead of planning upkeep. In addition to enhancing asset dependability and product quality, machine learning systems can forecast equipment breakdown with 92% accuracy. Machine learning and predictive analytics increased overall equipment efficiency from 65% to 85%. Increases Product Inspection and Quality Control Machine learning is also utilized for product inspection. Automated inspection and supervision using ML-based computer vision algorithms can discriminate between excellent and bad products. These algorithms simply need excellent samples to train; therefore a fault library is not required. However, an algorithm that compares samples to the most common errors can be built. Machine learning reduces visual quality control costs in manufacturing. Forbe's says AI-powered quality testing can boost detection rates by up to 80%. Logistics-related Tasks Are Automated To run a production line, industrial companies need considerable logistics skills. The use of machine learning-based solutions can improve logistics efficiency and save expenses. Manual, time-consuming operations like logistics and production-related documentation cost the average US business $171,340 annually. It saves thousands of manual working hours every year to automate these everyday procedures. Using Deep Mind AI, Google was able to lower its data center cooling bill by 40%. Creates More Business Opportunities Machine learning is frequently used in the production process. Substantial data analysis is required to create new items or improve existing products. Collection and analysis of huge amounts of product data can help find hidden defects and new business opportunities. This can help improve existing product designs and provide new revenue streams for the company. With machine learning, companies can reduce product development risks by making smarter decisions with better insights. Protects Company’s Digital Assets On-premise and cloud-based machine learning systems require networks, data, and technological platforms to function. Machine learning can help secure these systems and data by restricting access to vital digital platforms and information. Humans’ access sensitive data, choose applications, and connect to it using machine learning. This can help secure digital assets by immediately recognizing irregularities and taking appropriate action. Harley Davidson's Sales Climbed by 40% Using Albert – The ML & AI-Powered Robot Today, traditional marketing is harder to break through. It's easy to see why Albert (an AI-powered robot) would be a good fit for Harley Davidson NYC. Thanks to machine learning and artificial intelligence, robots are producing news stories, working in hotels, controlling traffic, and even running McDonald's. Albert works well with social media and email marketing. It analyzed which customers are more likely to convert and modifies the personal creative copies on its own for the next process. Harley-Davidson is the only company to employ Albert in its business. The company evaluated customer data to find prior consumers who made purchases and spent more time browsing the website than normal. Albert used this data to categorize customers and scale up test campaigns. Using Albert, Harley-Davidson's sales climbed by 40% and leads increased 2,930%, with half coming from high-converting ‘lookalikes' detected by AI and machine learning. Final Words The groundbreaking benefits of machine learning are the pillars of machine learning applications in manufacturing. Machine learning in manufacturing helps enhance productivity without compromising quality. According to Forbes, Amazon has automated warehouse logistics picking and packing using a machine learning system. With Kiva's help, Amazon's typical ‘click to ship' time dropped from 60-75 minutes to 15 minutes. So, industry leaders are seeing fantastic outcomes, and machine learning in manufacturing is the future. FAQ How is machine learning used in manufacturing? Machine learning is used in manufacturing to improve product quality and uncover new efficiencies. It unquestionably aids in the identification and removal of bottlenecks in the manufacturing process. Which two forms of machine learning are there? Machine learning is divided into two forms: supervised and unsupervised. In supervised machine learning, a machine learning algorithm is trained using data that has been labeled. Unsupervised ML has the advantage of working with unlabeled data. What is a machine learning model? A machine learning model is a file that can recognize patterns. In order to learn from a set of data, you must first train a model using an algorithm. { "@context": "https://schema.org", "@type": "FAQPage", "mainEntity": [{ "@type": "Question", "name": "How is machine learning used in manufacturing?", "acceptedAnswer": { "@type": "Answer", "text": "Machine learning is used in manufacturing to improve product quality and uncover new efficiencies. It unquestionably aids in the identification and removal of bottlenecks in the manufacturing process." } },{ "@type": "Question", "name": "Which two forms of machine learning are there?", "acceptedAnswer": { "@type": "Answer", "text": "Machine learning is divided into two forms: supervised and unsupervised. In supervised machine learning, a machine learning algorithm is trained using data that has been labeled. Unsupervised ML has the advantage of working with unlabeled data." } },{ "@type": "Question", "name": "What is a machine learning model?", "acceptedAnswer": { "@type": "Answer", "text": "A machine learning model is a file that can recognize patterns. In order to learn from a set of data, you must first train a model using an algorithm." } }] }

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How Manufacturing Digitalization Benefits Businesses in 2022

Article | December 14, 2021

The manufacturing industry has evolved to new heights of innovation, productivity, and excellence with digital transformation. Manufacturing digitalization has made operational procedures more skilled, accurate, and time-savvy. “Many companies simply are not willing to change or think they are done once they make a change. But the truth is technology; consumer demands, the way we work, human needs and much more are constantly changing.” Michael Walton, Director, Industry Executive (Manufacturing) at Microsoft With a CAGR of 19.48 percent between 2021 and 2026, the digital transformation in the manufacturing market is expected to reach USD 263.93 billion by 2026. Manufacturing plants adopt digital technology to improve, automate, and modernize processes as part of Industry 4.0. So, what are the key benefits of digitalization for manufacturers? This article will elaborate on the top five benefits of digital manufacturing transformation. How to Define Digital Manufacturing? Manufacturing digital transformation involves integrating digital technologies into processes and products to improve manufacturing efficiency and quality. Manufacturing's digital transformation aims to increase operational efficiency and reduce expenses. The digital transformation techniques ensure product quality. It also makes work more efficient, safe, and stress-free. What Is Included in Manufacturing Digitization (Industry 4.0)? Industry 4.0 is the digitalization of manufacturing. Cyber-physical systems, IoT, and cloud computing are current trends in manufacturing automation and data exchange. Connected devices, cloud computing power, and the modern emphasis of lean, efficient operations enable Industry 4.0 to construct advanced and innovative smart factories. Industry 4.0 includes design, sales, inventories, scheduling, quality, engineering, customer and field service. Five Benefits of Digital Transformation in Manufacturing Manufacturing organizations can benefit from digitalization in a variety of ways. It can help make the work more efficient, decentralized, and secure. It further creates new business opportunities and attracts new talent to the industry. Additionally, integrating products into a digital ecosystem increases their value and appeal. Let’s dig deeper into each of the five key benefits. Reduces Costs Technology is an invaluable companion in reducing the manufacturing company's expenses in the future. The incorporation of digital technology results in the transformation of procedures and the digitization of documents, resulting in overall process optimization. Therefore, a reduction in labor costs might be expected as a result of the elimination of unnecessary expenditures. Additionally, digitization enables businesses to assess and estimate expenses considerably more precisely, ensuring that budgets stay on track. Additionally, it eliminates andsubstitutes inefficient jobs within processes, significantly increasing their efficiency. This efficiency is translated into time savings, which results in a substantially more cost-effective manufacturing process. Decentralized Production Manufacturing digital transformation allows organizations to supervise manufacturing remotely, allowing production to continue uninterrupted. In rare cases like Covid-19, digitalized businesses have not had to cease or even slow down production. These systems can work without interruptions for much longer than any worker. Digitalization also boosts methodology flexibility and reactivity. For example, if a production plant has a problem, an automatic alert is generated, and the issue is resolved regardless of the day, time, or presence. Improved Operational Efficiency Smart product connectivity allows devices to connect and communicate with each other (M2M). This connectivity enables decentralized decision-making. Many duties no longer require an employee to be physically present. New manufacturing and production models minimize boring, risky activities while increasing accuracy, efficiency, and responsiveness. Transforming businesses through digital means making better decisions based on real-time data. Training, changes, and repairs are no longer issues due to reduced frequency and automation. New Business Opportunities New digital technologies enable the manufacture of previously unviable products and services, generating new revenue streams. Also, new services (innovation or reorientation) are launched considerably faster. Companies may utilize big data and AI to experiment, anticipate trends, and predict about new advancements. These technologies can help organizations become more eco-friendly and create products that are less detrimental to our environment. Attracts New Talent Professionals with fundamental talents in this complicated and disruptive environment are drawn to digitalizedorganizations that are up-to-date with trends and processes. Also, if the change is managed well, it will lead to higher profitability, increasing employee satisfaction. Human motivation, along with excellent digital technologies, will reflect in the company's production and profitability. Dusseldorf@Germany: The Deloitte Digital Factory The digital factory in Dusseldorf provides a flexible setting for innovative workshops and training, bringing together the old and new worlds of supply chain and industrial operations to provide a seamless experience. Specific use case examples, as well as the digital solutions sector, will motivate and encourage businesses to get on their digital transformation journeys, making use of the most up-to-date technologies in the process. Final Words Manufacturing digitalization has a lot to offer the industry, and many manufacturers are capitalizing on this new phase of the industrial revolution by incorporating cutting-edge technologies into manufacturing and business operations. As said previously, the benefits of digital transformation in the manufacturing business are increasing the importance of digitalization in the industry. Transform your traditional manufacturing operating processes with these new manufacturing trends and observe the results that other benefitting manufacturing businesses have achieved. FAQ Why is digitalization vital in manufacturing? Manufacturing process digitization improves overall business performance. But the results are seen across the factory. Digital transformation improves working conditions for employees and streamlines daily operations. How are digitization and digitalization different? Digitalization is a transformation of data and processes. Digitalization is the use of digital technologies to collect data, identify patterns, and make better business decisions. How digital technologies are applied in manufacturing? Digital manufacturing technologies enable the integration of systems and processes across all stages of production, from design to production and beyond.

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Spotlight

Pendragon PLC

Pendragon PLC is the leading independent operator of franchised motor car dealerships in the UK, operating over 220 locations nationwide. Evans Halshaw is the UK's leading volume car, van and truck retailer, working with many of the world's leading car manufacturers across 130 locations, including Ford, Citroen, DS, Renault, Vauxhall, Dacia, Nissan, DAF, Honda, Hyundai, Kia, Peugeot and SEAT.

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