Even in the world of large manufacturing, it’s about the people

JOSH WELTON| May 20, 2019
EVEN IN THE WORLD OF LARGE MANUFACTURING, IT’S ABOUT THE PEOPLE
Any of my friends from college will chuckle at that phrase. It’s on the roadside welcome sign heading into Hillsdale, Mich. I immediately think of my dad telling me about the classic dystopian movie Soylent Green where Charleston Heston declares that the food is people!

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Trends to Boost Your Manufacturing Business in 2022

Article | October 27, 2021

Technologies in the manufacturing industry are upscaling daily. Manufacturers are keen to embrace the latest manufacturing trends to improve their manufacturing process, total production rate, and product quality at their factories. Manufacturing technology advances have also boosted production speed while retaining product quality. “As technology takes over and enhances many of the processes we used to handle with manual labor, we are freed up to use our minds creatively, which leads to bigger and better leaps in innovation and productivity.” – Matt Mong, VP Market Innovation and Project Business Evangelist at Adeaca. Apart from manufacturing technology developments, we will look at new manufacturing business trends in this article, which will help you achieve maximum customer engagement and a positive relationship with your target consumer groups. So, let's see some of the top manufacturing business trends that are assisting the industry in improving its business processes. Manufacturing Business Trends: 2022 Manufacturers must adopt a business procedure that focuses on the target consumer group. Also, incorporating social responsibility and technology into company procedures would be beneficial. Here are five ways manufacturing leaders are becoming more communicative and results-oriented in their manufacturing and consumer experience strategies. Deliver a One-of-a-kind Digital Experience Every industry's target demographic is now online. Manufacturers must use digitalization to interact with their target consumer group to be noticed and remembered. Maintain an active presence on all popular digital platforms used by your target demographic. Post your new products, business strategy, or get genuine customer feedback on your brand and products. Engage your target audience and keep them informed of your progress in making their lives easier. “Marketing is VERY important to any company, although I generally see it being justified by the number of web hits or ‘leads’ that come in” – John Hays, Director of Sales at BALYO Allow your clientele to interact with your products digitally. To be a part of the new digital revolution in any industry, create a new digital business model. Initiative for Ecosystem Partnership An ecosystem partnership is a network of enterprises working together to provide a product or service to meet changing market needs. A partner ecosystem can generate customer-ready solutions faster. It also helps firms to co-create value. This value is demonstrated in extraordinary customer and partner experiences. The B2B ecosystem partners work together to bring mutual benefits to their companies. Revenue Generation via Data Monetization Data monetization allows industrial CIOs (Chief Information Officers) to monetize their digital products and services. Rapid digitization in manufacturing generates massive data. CIOs may monetize and distribute data across ecosystems. CIOs can leverage information as a resource to generate new services or business models. This ensures revenue even when external reasons like supply chain issues or human resource shortages interrupt the firm. Using the Equipment as a Service (EaaS) Approach EaaS, or Pay-Per-Use, is defined as: A business model where equipment is rented rather than sold, with remote diagnostics and predictive maintenance solutions offered by the vendor. Using Eaas reduces capital expense, improves data reliability, and lowers operating costs. As a result, producers can undertake all production-related tasks with precision. Bosch RexRoth CytroBox – a Perfect Example of EaaS The global equipment-as-a-service market is estimated to develop at an 11.5 percent CAGR from 2021-2027. (OpenPR) The RexRoth Cytrobox from Bosch is an example of EAAS. This hydraulic power unit converts electrical power into hydraulic fluid pressure and flow to move and force a machine. They are widely utilized in presses and tooling equipment. It can handle up to 33 kW in a small space. Its exceptionally flexible; its unique design allows it to run efficiently and quietly. In addition, modern automation and sensor packages allow easy integration into modern machine designs. Benefits of Bosch RexRoth CytroBox It provides data insights during the long lifecycles Using this hydraulic power unit on a lease can save a lot of money which cost $100.000 It requires heavy maintenance cost as per its type of usage that can be avoided with the EaaS approach Shifting the Emphasis from B2B to B2C Many firms are moving their attention from B2B to B2C to understand their target consumer better. This new strategic approach helps producers identify market needs and gain real-time feedback on their products. This method helps producers increase profit margins while also controlling the product's interaction with the intended audience. Final Words The latest manufacturing trends will take you to the cutting edge of manufacturing. The manufacturing developments in 2022 will boost the total manufacturing market in the coming years, allowing manufacturers to generate more business revenue. FAQs What is the manufacturing industry's future? Industry 4.0 is rapid technological progress in production and is transforming the worldwide manufacturing industry. According to bccresearch's market research, the global manufacturing and process control market is predicted to increase from $86.7 billion in 2020 to $117.7 billion in 2025, a CAGR of 6.3 percent. What is the industry 4.0 technology in the manufacturing industry? IoT, industrial internet of things (IIoT), Cyber-physical systems (CPS), cloud computing, artificial intelligence, big data, machine learning, robotics, virtual reality, augmented reality, and additive manufacturing or 3D printing are some technologies that are used in industry 4.0 factories. What are the current technology trends in the manufacturing industry? AI, robots, 3D printing, and the like are all the latest manufacturing trends in manufacturing technology. Additionally, enterprise resource planning (ERP), cloud computing, and machine vision all play a significant part in advanced manufacturing. { "@context": "https://schema.org", "@type": "FAQPage", "mainEntity": [{ "@type": "Question", "name": "What is the manufacturing industry's future?", "acceptedAnswer": { "@type": "Answer", "text": "Industry 4.0 is rapid technological progress in production and is transforming the worldwide manufacturing industry. According to bccresearch's market research, the global manufacturing and process control market is predicted to increase from $86.7 billion in 2020 to $117.7 billion in 2025, a CAGR of 6.3 percent." } },{ "@type": "Question", "name": "What is the industry 4.0 technology in the manufacturing industry?", "acceptedAnswer": { "@type": "Answer", "text": "IoT, industrial internet of things (IIoT), Cyber-physical systems (CPS), cloud computing, artificial intelligence, big data, machine learning, robotics, virtual reality, augmented reality, and additive manufacturing or 3D printing are some technologies that are used in industry 4.0 factories." } },{ "@type": "Question", "name": "What are the current technology trends in the manufacturing industry?", "acceptedAnswer": { "@type": "Answer", "text": "AI, robots, 3D printing, and the like are all the latest manufacturing trends in manufacturing technology. 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Additive Manufacturing: A Ground-breaking Change to Empower Industry 4.0

Article | November 20, 2021

Advanced manufacturing enables the concept of industry 4.0 and represents a significant milestone in the manufacturing industry. Additive manufacturing is a critical component of the industry 4.0 concept, propelling the industry to new heights of innovation. In various fields that are not immediately related to industry 4.0 or manufacturing, additive manufacturing has alternatively been referred to as 3D printing. The numerous advantages of additive manufacturing, such as reduced cost and time, are boosting its popularity and use in manufacturing and other industries. “Digital technology is so empowering on so many fronts, but for it to be empowering, it must be for everyone.” – Michael Walton, Director, Industry Executive (Manufacturing) at Microsoft. The global market of additive manufacturing is anticipated to increase at a 14.42 percent compound annual growth rate from USD 9.52 billion in 2020 to USD 27.91 billion in 2025. According to this market research, the future of 3D printing or additive manufacturing is quite bright in the coming years, and we will see widespread application across industries. First, let us understand the idea of additive manufacturing and its benefits to various industries. Concept of Additive Manufacturing Additive manufacturing is building a real thing from a three-dimensional computer model, often by successively layering a material. This technique utilizes computer-aided design (CAD) software or 3D object scanners to command devices to deposit material in exact geometric shapes layer by layer. As the name implies, additive manufacturing involves the addition of material to produce an object. Additive Manufacturing Benefits Produces Fewer Scraps and Trash When we compare additive manufacturing to traditional manufacturing techniques such as milling or turning, additive manufacturing adds only the amount of material required to build a product. As a result, it generates less waste and conserves scarce resources. Reduces the Time and Cost of Prototyping Making a product prototype is now faster, easier, and cheaper. Other production processes, like milling, have high setup and material costs. Prototyping is less expensive and takes less time, so you can quickly produce, test, and modify. It also shows practically instant verification of progress done. It Encourages the Digitalization of Businesses Continuous and effective communication between devices, machines, and robots is required for additive manufacturing. However, this is only achievable with effective digitization of production processes. As a result, businesses invest more in digital and IoT, a prerequisite for Industry 4.0. It Simplifies the Assembling Process by Condensing it into a Single Component Additive manufacturing in Industry 4.0 also simplifies the production process, especially product assembly. A traditional component requires numerous manufacturing procedures. This increases material and labor expenses as well as production time. However, additive manufacturing allows you to print the group in one piece. The Top Three Industries That Make the Most Use of Additive Manufacturing Additive manufacturing is presently used in a variety of industries. However, specific sectors make the best use of it. Thus, we will examine the industries embracing additive manufacturing technology and emerging with new life easing solutions. Healthcare In the healthcare industry, dentistry is the critical application of additive manufacturing. Technology helps it create bridges, crowns, braces, and dentures, always in high demand. Additive manufacturing has also been used to create tissues and organs, surgical tools, patient-specific surgical models, and personalized prosthetics. For example, many medical equipment companies employ 3D printing to build patient-specific organ replicas that surgeons can practice before completing complex surgeries. Aerospace Additive manufacturing is utilized to fabricate metal brackets that serve as structural components within airplanes. Prototypes are increasingly being printed in three dimensions, allowing designers to fine-tune the shape and fit of finished parts. In addition, interior airplane components such as cockpit dashboards and door handles are manufactured using 3D printing services. Automotive 3D printing can manufacture molds and thermoforming tools, grips, jigs, and fixtures for the automotive industry. Automakers utilize additive printing to customize parts for specific vehicles or drivers (e.g., seats for racing cars). An appealing colored dashboard, efficient fuel systems, and complicated braking mechanisms are all possible with 3D printing in the automotive industry. Therefore, it is best suited for pre-production, manufacture, and modification of automotive parts. How Does NASA use additive manufacturing in its space projects? The space environment has always been unpredictable, and scientists must be adequately prepared before embarking on any space mission. They must consider the durability and weight of all the objects they propose to transport into space. To land any object on a planet that does not have a flat surface or similar weather conditions to earth, scientists must design each object with these considerations in mind. “You always want it to be as light as possible, but you also want it to be strong enough.” -Chris Chapman, NASA Test Engineer It is not conceivable to make items capable of dealing with all the changes on other planets and achieving these project objectives using conventional materials and production processes. However, scientists do require a technique that will enable them to manufacture lighter and stronger objects for their space missions. 3D printing has played a significant part in meeting this demand and has provided space projects to manufacture objects that would withstand any unexpected events during space missions. For example, NASA employed 3D-printed metal components in their Mars project. NASA's specialized engineers are utilizing additive manufacturing to create rocket engines and possible Moon and Mars outposts. NASA used the 11 3D printed metal components on its Mars mission as well. It employed 3D printed components for the first time in the Curiosity rover, which landed on Mars in 2012. It was a successful project, and NASA has since begun employing 3D printed parts in its space missions to make machines lighter while remaining robust and functional. Final Words Additive manufacturing technology is making a real difference in the manufacturing process, and it is becoming the trending technology in the manufacturing industry. The benefits of additive manufacturing make the manufacturing process more advanced, easy, and customer-oriented. Additive manufacturing is the major transformation in the manufacturing industry and will take it to new heights of precision. FAQ Why is additive manufacturing critical? Additive manufacturing reduces the time and cost of prototyping and reduces the scraps amount during the manufacturing process of any object. In addition, it simplifies multiple processes from various industries. Are additive manufacturing and 3D printing the same? Yes, additive manufacturing and 3D printing are the same processes with different names as per the choice of the different industries. For example, in some industries such as space missions, It is also referred to as Fused Deposition Modelling (FDM). Which is the most applied sector for additive manufacturing? Healthcare is the industry that utilizes additive manufacturing technology the most. It also helps medical practitioners practice surgery on any critical body part with its 3D printed model from human tissues. { "@context": "https://schema.org", "@type": "FAQPage", "mainEntity": [{ "@type": "Question", "name": "Why is additive manufacturing critical?", "acceptedAnswer": { "@type": "Answer", "text": "Additive manufacturing reduces the time and cost of prototyping and reduces the scraps amount during the manufacturing process of any object. In addition, it simplifies multiple processes from various industries." } },{ "@type": "Question", "name": "Are additive manufacturing and 3D printing the same?", "acceptedAnswer": { "@type": "Answer", "text": "Yes, additive manufacturing and 3D printing are the same processes with different names as per the choice of the different industries. 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Quality Digest Defines Enhanced Webinar Events

Article | May 18, 2021

For twenty years as an editorial contributor to Quality Digest magazine, I have had the pleasure of authoring or collaborating more than 80 articles for the publication. During this two-decade tenure, I have worked with Dirk Dusharme (pictured left), Editor in Chief of Quality Digest. Quality Digest’s website receives more than three million page views each year, which provide editorial content, live broadcasts, videos, and on-demand webinars presented by industry experts on international quality standards, leadership, manufacturing, metrology, statistical process control, training, and more. Quality Digest continues its important role as companies navigate a post-COVID reality with a critical role of safety, quality, efficiency, and resiliency. Quality elements are no longer an after-thought. It is essential when examining automation, lean manufacturing, and new paradigms for best practice. During COVID, all of us became more remote savvy and the demand for visionary content and information essential. According to Dusharme, “Since their debut almost a decade ago, Quality Digest's "enhanced" webinar events have raised the bar for the traditional webinar experience. Our audience has come to expect concise, informative, and engaging presentations with subject matter experts who know what they are talking about. Apart from the traditional quality topics, we delve into areas that broaden our audience’s knowledge. These topics range from cybersecurity, to supply chain management, to understanding and dealing with cognitive biases. Our goal is to provide up-to-date, actionable information that our audience can immediately put to use. Live video feeds of the presenters and the products, interactive Q&A sessions, surveys, and valuable downloads all make up our usual webinar experience, followed by next-day access to the on-demand recording and materials.” Enhanced Webinars from Quality Digest feature real-time streaming video of host, subject matter expert, and a case study in action. Users can email questions, chat, or download files in real-time. This modality is ideal for visual case studies/product demos, team or customer training, and new product/new service announcements.

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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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Freedom CAD Services is a multi-disciplined engineering team specializing in PCB design services for complex high-speed and large electronic systems for the Telecom, Computer, Medical, Mil-Aero, Industrial, Storage and Consumer Electronics markets.

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