Emerging Technologies To Check Out At IMTS

| September 11, 2018
EMERGING TECHNOLOGIES TO CHECK OUT AT IMTS
Whether you are spending this week at McCormick Place in Chicago or not, you have likely heard a stream of chatter surrounding the 2018 International Manufacturing Technology Show (IMTS). As America’s Largest Manufacturing show featuring over 1,900 exhibitors, IMTS is projected to attract over 125,000 manufacturers looking to better understand the emerging technologies and resources that can help them improve efficiencies and prepare for the future.

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Feilo Sylvania

Feilo Sylvania is a leading, full-spectrum provider of professional and architectural lighting solutions. Built on over a century of expertise in lamps and luminaires, Feilo Sylvania supplies internationally state-of-the art products and systems to the public, commercial and private sectors. All over the world, people rely on group business divisions: Concord, Lumiance and Sylvania, for top quality, energy-efficient solutions.

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2022: The Year of Robotics Industry Expansion

Article | November 12, 2021

Robotics industry growth has accelerated rapidly across several industries. It has aided manufacturers in overcoming numerous barriers related to real-time communication, workplace safety, and overall manufacturing cost and timeliness. However, if we trace its history back to 1961 when George Charles Devol introduced the first robot, dubbed 'UNIMATE,' it has exponentially grown and utilized across sectors to make operations more effortless, precise, and faster. “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. However, the industry has seen snags or difficult times due to market fluctuations, unfavorable situations, and the need to remain competitive in the drive for expansion. To thoroughly understand the robotics industry, let us examine each component that surrounds it. Industrial Robotics Global Market Size According to recent Allied Market Research studies, the global industrial robotics market was worth $37,875 million in 2016 and is expected to reach $70,715 million by 2023, rising at a 9.4% compound annual growth from 2017 to 2023. Industrial Robotics Market Analysis The global industrial robotics market is primarily driven by a global increase in labor costs, which has compelled firms to replace human labor with robots. As a result, Asia and Europe are the world's fastest-growing areas, with top companies such as ABB, Fanuc, KUKA, Kawasaki, and Yaskawa Electric Corporation headquartered in the region. The global market of robotics has been segmented by its type, industry, and function. Type Industry Function Articulated Automotive Soldering and Welding Cartesian Electrical & Electronics Materials Handling SCARA Healthcare & Medicine Assembling & Disassembling Cylindrical Rubber & Plastics Painting and Dispensing Others if any Machinery & Metals Cutting and Processing Food & Beverages Milling Precision & Optics Others if any Others if any Industries That Are Pioneering the Use of Robotics As we have observed, the global robotic market will continue to rise in the future years. Therefore, let us examine which industries will extend their use of robotics in their operations. Healthcare & Medicine Medical robots help surgeons optimize hospital logistics and free up the working staff to focus on patients. In the healthcare field, robots are revolutionizing surgery by speeding supply delivery and disinfection and freeing up time for doctors to interact with their patients. da Vinci System – A General Surgical Robot The da Vinci System is a surgical robot that focuses on a wide range of urological, bariatric, and gynecological surgical treatments. In addition, Stryker's MAKO System also specializes in orthopedic surgery, specifically partial and total knee replacements. The da Vinci SP system is cleared for use in the United States exclusively for single-port urological procedures, lateral oropharyngectomy (often referred to as radical tonsillectomy), and tongue base excision. Law Enforcement Police robots are meant to gain access to areas inaccessible or dangerous to first responders, and they are capable of manipulating items and gathering data using several technologies. It encompasses robots capable of operating in various conditions and displaying a range of data and communication capabilities. Agriculture & Food Industry Farm equipment is now routinely equipped with sensors that utilize machine learning and robotics to identify weeds, compute the appropriate quantity of herbicide to spray, or learn to detect and pick strawberries, for instance. Additionally, in the food business, robotics has been used to do repetitive tasks such as picking and placing food items and cutting and slicing food items during any given food item. For instance, the modern bakery business uses robotics to perform traditional craft skills and produce any product in large quantities while maintaining high quality and hygiene standards. Transportation The transportation sector is highly leveraging robotics. The powerful transport capability, advanced control technology, and sensing precision are some of the benefits that make the transportation robots widely utilized in this sector. These benefits from robotics help the sector convey various commodities in factories, restaurants, and medical institutions, among other locations. Manufacturing Robots are employed in manufacturing to do repeated jobs and streamline the overall assembly process. Additionally, robots and humans can also collaborate on product making. Robots can replace humans for hazardous tasks or processes that need large quantities of materials, which might be hazardous for a human employee to handle. Factors Sustaining the Growth of the Robotics Industry Reduces Manufacturing Costs: Robotics application in all industries reduces the overall manufacturing process running costs. Improves Product Quality: The precision of robotics throughout the manufacturing process helps produce high-quality items that meet target client needs. Offers Competitive Market: Increased income due to utilizing the benefits of robotics applications makes any industry more competitive. Speed-ups Production Time: Robotics speeds up production and helps manufacturers increase output. Offers Task or Process Flexibility: Robotics can weld, cast, mold, assemble, machine, transfer, inspect, load, and unload items, among other duties. So, it gives the manufacturer process flexibility. Reduces Excessive Use and Waste of Production Materials: Robotics employs the exact quantity of material required for the manufactured product, reducing waste and overuse of materials. Offers a Safe Working Place: Robotics improves employee health and safety by performing tasks that humans find risky. For example, in the chemical industry, a human employee may not do a hazardous task. In such instances, robots can replace people. Final Words The rise of the robotics industry has accelerated dramatically, and it is now spreading its wings across industries. Research firm IDC provided a projection for the commercial robot market, forecasting that the market will exceed $53 billion by 2022, with a compound annual growth rate of more than 20%. In addition, several advantages of robotics such as safety, productivity, uniformity, and perfection are pushing its expansion and making it an essential element of industry 4.0. FAQs Why are robots the future of the manufacturing industry? The use of robots in manufacturing has improved process efficiency and product quality. As a result, robots are gaining favor in production and becoming the future of manufacturing. Which industries make the most use of robotics? Healthcare, agriculture, food, and manufacturing are the industries that are embracing robotics to get the most out of it. How is manufacturing utilizing robotics? Manufacturing uses robotics for repetitive tasks. This helps in the reduction of errors and human efforts. It also improves production efficiency. { "@context": "https://schema.org", "@type": "FAQPage", "mainEntity": [{ "@type": "Question", "name": "Why are robots the future of the manufacturing industry?", "acceptedAnswer": { "@type": "Answer", "text": "The use of robots in manufacturing has improved process efficiency and product quality. As a result, robots are gaining favor in production and becoming the future of manufacturing." } },{ "@type": "Question", "name": "Which industries make the most use of robotics?", "acceptedAnswer": { "@type": "Answer", "text": "Healthcare, agriculture, food, and manufacturing are the industries that are embracing robotics to get the most out of it." } },{ "@type": "Question", "name": "How is manufacturing utilizing robotics?", "acceptedAnswer": { "@type": "Answer", "text": "Manufacturing uses robotics for repetitive tasks. This helps in the reduction of errors and human efforts. It also improves production efficiency." } }] }

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Manufacturing Production Planning and Control: What, Why, and How?

Article | January 3, 2022

Production planning and control are critical components of any manufacturing organization. It helps organizations with the regular and timely delivery of their goods. Furthermore, it allows manufacturing businesses to increase their plant’s efficiency and reduce production costs. Numerous software and tools for production scheduling and planning are available on the market, including Visual Planning, MaxScheduler, and MRPeasy, which assist manufacturing organizations in planning, scheduling, and controlling their production. According to KBV Research, the manufacturing operations management software market is anticipated to reach $14.6 billion by 2025 globally, expanding at a market growth of 10.2 percent CAGR during the forecast period. So, what exactly is production planning and control? Production planning is an administrative process within a manufacturing business. It ensures that sufficient raw materials, personnel, and other necessary items are procured and prepared to produce finished products according to the specified schedule. Scheduling, dispatch, inspection, quality control, inventory management, supply chain management, and equipment management require production planning. Production control makes sure that the production team meets the required production targets, maximizes resource utilization, manages quality, and saves money. “Manufacturing is more than just putting parts together. It’s coming up with ideas, testing principles and perfecting the engineering, as well as final assembly.” – James Dyson In oversize factories, production planning and control are frequently managed by a production planning department, which comprises production controllers and a production control manager. More significant operations are commonly monitored and controlled from a central location, such as a control room, operations room, or operations control center. Why Should You Consider Production Planning? An efficient production process that meets the needs of both customers and the organization can only be achieved through careful planning in the early stages of production. In addition, it streamlines both customer-dependent and customer-independent processes, such as on-time delivery and production cycle time. A well-designed production plan minimizes lead time, the period between placing an order and its completion and delivery. The definition of lead time varies slightly according to the company and the type of production planning required. For example, in supply chain management, lead time refers to the time required for parts to be shipped from a supplier. Steps in Production Planning and Control Routing The first stage of production planning determines the path that raw materials will take from their source to the finished product. You will use this section to determine the equipment, resources, materials, and sequencing used. Scheduling It is necessary to determine when operations will occur during the second stage of production planning. In this case, the objectives may be to increase throughput, reduce lead time, or increase profits, among other things. Numerous strategies can be employed to create the most efficient schedule. Dispatching The third and final production control stage begins when the manufacturing process is initiated. When the scheduling plan is implemented, materials and work orders are released, and work is flowing down the production line, the production line is considered to be running smoothly. Follow-Up The fourth stage of manufacturing control ascertains whether the process has any bottlenecks or inefficiencies. You can use this stage to compare the predicted run hours and quantities with the actual values reported to see if any improvements can be made to the processes. Production Planning Example Though production planning is classified into several categories, including flow, mass production, process, job, and batch, we will look at a batch production planning example here. Manufacturing products in batches is known as "batch production planning." This method allows for close monitoring at each stage of the process, and quick correction since an error discovered in one batch can be corrected in the next batch. However, batch manufacturing can lead to bottlenecks or delays if some equipment can handle more than others, so it's critical to consider capacity at every stage. Example Consider the following example of batch production planning: Jackson's Baked Goods is in the process of developing a production plan for their new cinnamon bread. To begin with, the head baker determines the batch production time required by the recipe. He then adjusts the bakery's weekly ingredient orders to include the necessary supplies and schedules the weekly cinnamon bread bake during staff downtime. Finally, he creates a list of standards for the bakery staff to check at each production stage, allowing them to quickly identify any substandard materials or other batch errors without wasting processing time on subpar cinnamon bread. Final Words Running a smooth and problem-free manufacturing operation relies heavily on a precise production planner. Many large manufacturing companies already have a strong focus on streamlining their processes and making the most of every manufacturing operation, but small manufacturing companies still have work to do in this area. As a result, plan, schedule, and control a production that will enable you to run your business in order to meet its objectives. FAQ What is the difference between planning and scheduling in production? Production planning and scheduling are remarkably similar. But, it is critical to note that planning determines what operations need to be done and scheduling determines when and who will do the operations. What is a production plan? A product or service's production planning is the process of creating a guide for the design and manufacture of a given product or service. Production planning aims to help organizations make their manufacturing processes as productive as possible.

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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. For example, in some industries such as space missions, It is also referred to as Fused Deposition Modelling (FDM)." } },{ "@type": "Question", "name": "Which is the most applied sector for additive manufacturing?", "acceptedAnswer": { "@type": "Answer", "text": "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." } }] }

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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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Spotlight

Feilo Sylvania

Feilo Sylvania is a leading, full-spectrum provider of professional and architectural lighting solutions. Built on over a century of expertise in lamps and luminaires, Feilo Sylvania supplies internationally state-of-the art products and systems to the public, commercial and private sectors. All over the world, people rely on group business divisions: Concord, Lumiance and Sylvania, for top quality, energy-efficient solutions.

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