No Code’s Impact on Manufacturing Engineering

| June 20, 2019
NO CODE’S IMPACT ON MANUFACTURING ENGINEERING
In manufacturing, no code platforms are revolutionizing how engineers work. This revolution is long overdue, considering that in the last 20 years software has changed how nearly everyone works. Every job now has a series of software tools that enable users to do their job better and more efficiently–a tech stack.

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Barron Lighting Group

Since 1973 the Barron Lighting Group has established a reputation for unsurpassed service and commitment to our customer's needs. Our products have always been known for exceptional quality and reliability. Our trained staff are the most dedicated, customer-centric group in the industry that constantly raise the bar of service.

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IoT in Manufacturing: How It's Changing the Way We Do Business

Article | December 10, 2021

IoT in the manufacturing industry introduces a superior technology that is coming up as a blessing for the industry. Manufacturers are enjoying one-of-a-kind benefits and returns on their reinvestments in IoT. Benefits such as enhanced productivity, work safety, reduced downtime, cost-effective operations, and more such benefits of IoT in manufacturing make it more and more popular with each passing day. The global IoT market is estimated to reach a value of USD 1,386.06 billion by 2026 from USD 761.4 billion in 2020 at a CAGR of 10.53 percent over the forecast period of 2021-2026. So the whole worldwide market of IoT has a bright future in the following years. “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 Let’s check out below some exciting facts about IoT in manufacturing and see how IoT makes a difference in the manufacturing industry. IoT in Manufacturing: Some Interesting Facts According to PwC, 91% of industrial/manufacturing enterprises in Germany invest in "digital factories" that use IoT solutions. According to the International Federation of Robotics (IFR), China employs more industrial robots than any other country (many of which are connected to the internet in some way). According to IoT Analytics, the industrial sector spent more than $64 billion on IoT in 2018 and expects investment in Industry 4.0 to reach $310 billion by 2023. According to the Eclipse Foundation, most IoT developers are focused on developing smart agriculture systems (26%), while industrial automation is another big focus area (26%). However, home automation is dwindling in popularity, accounting for just 19% of projects. How Does IoT Work for the Manufacturing Industry? The Internet of Things (IoT) is a network of interconnected devices that communicate with one another and with other networks. While IoT-enabled devices are capable of various tasks, they are primarily employed to collect data and carry out specific tasks. The implementation of the Internet of Things in manufacturing is often referred to as the IIoT, or Industrial Internet of Things. IoT makes use of 'smart' devices to collect, process, and act on data. These intelligent devices are equipped with sensors and other software that enable them to communicate and exchange data inside the network. IoT-enabled equipment gives crucial real-time data that enables manufacturers or machine operators to make informed decisions. So, how does it function in practice? Sensors capture data from the system and transfer it to the cloud, where it can be analyzed. The data is transferred to the quality assurance system. The data that has been analyzed is forwarded to the end-user. How the IoT is Improving Manufacturing Business Operations The Internet of Things (IoT) has numerous benefits for the manufacturing industry. We'll go over some of the significant benefits that the Internet of Things brings to the manufacturing business. Energy Efficiency Solutions Energy is a high cost in manufacturing. Unfortunately, the current industrial energy infrastructure can only track excessive energy consumption. The utility bills include the factory's energy consumption records. But, unfortunately, nobody can break down energy consumption to the device level and find out the underperforming pieces. Some energy usage monitoring tools exist, but they only provide partial data, making system analysis difficult. IoT can help by giving device-level energy data. The sensors will detect any underperforming devices in the network and alert you so you can take action. As a result, the technology can help you reduce energy waste and find other ways to save it. Market Forecasting Data is required to determine trends and quality of production at a manufacturing facility. It also helps manufacturers plan and anticipates changes. These forecasts can help with inventory management, employment, cost control, and other operational procedures. Thus, IoT technology makes it easier to foresee and optimize customer requirements. Proactive Maintenance The Internet of Things (IoT) uses sensors to gather data about assets' health and productivity. In addition, it uses advanced analytics to give actionable information. These are presented on an appealing dashboard connected to your smart device. This allows for predictive maintenance to be used in the manufacturing industry. Superior Product Quality Every manufacturer is determined to produce a high-quality product at a low cost. Therefore, a minor quality modification can have a significant influence on the manufacturing firm. Customer happiness, waste reduction, sales, and profit can all benefit from high-quality products. But making high-quality products isn't easy. The Internet of Things (IoT) can assist you in this endeavor. Poorly set, calibrated, and maintained equipment are some of the main reasons for low-quality products. Worst of all, many small things sometimes go ignored as the final product seems perfect. Quality tests show the product is fine, but your consumers start having problems after a couple of months. Imagine the resources needed to identify and correct the problem. Sensors in an IoT network detect even minimal tweaks in setup and alert operators. The team might momentarily stop production to address the issue before the production cycle gets complete. Rapid and Informed Decision-Making The IoT can dramatically improve organizational decision-making. It unlocks vital data about network equipment performance and delivers it to the right person. Managers and field operators can use this data to improve plant processes and overall production. In addition to these significant benefits, IoT in manufacturing can help manufacturers improve their manufacturing operations and construct a unit that meets the vision of the smart factory of 2040. The future beyond IoT would be the icing on the cake for all of us, as technology has always amazed us. Imagine the day when IoT and AI merge, and the virtual gadgets controlled by IoT are the next major milestone. Then, the ideal combination of robotics, AI, and VR may reduce the manufacturing plant size and cost while increasing the output to a level that is unimaginable and unattainable as of now. Airbus Improved Production Efficiency with Its Factory of the Future Concept It's a massive task for a commercial airliner to be assembled. The expense of making a mistake throughout making such a craft can be significant, as there are millions of parts and thousands of assembly phases. Airbus has established a digital manufacturing effort called Factory of the Future to optimize operations and increase production capacity. The company has installed sensors on factory floor tools and machinery and supplied workers with wearable technologies, such as industrial smart glasses, to reduce errors and improve workplace safety. The wearable allowed for a 500% increase in efficiency while eliminating nearly all mistakes in one process named cabin seat marking. Final Words While the benefits of IoT devices have long been a topic of discussion among technology enthusiasts, the incorporation of IoT in manufacturing is creating a new buzz in the industry. The benefits of IoT in manufacturing, such as remote analysis of operations, processes, and products, are assisting manufacturers in establishing a more productive manufacturing unit. As a result of these benefits, IoT use in manufacturing is accelerating. Recognize the IoT's potential and take a step toward incorporating it into your manufacturing operation in 2022. FAQ What is the Industrial Internet of Things (IIoT)? IIoT stands for Industrial Internet of Things. It uses data to improve industrial efficiency. To enhance industrial performance, it uses embedded sensors, cloud data, and connected devices. Why is the IoT changing manufacturing? Real-time monitoring of machines and accurate reporting for better decisions are possible through IoT. This improves business strategies and project control. Thus, the Internet of Things has a significant impact on the profitability of any manufacturing company. How does the IoT transform the way we do business? We can use data collected by IoT devices to improve efficiency and help organizations make better decisions. They tell organizations the truth, not what they hope or believe. { "@context": "https://schema.org", "@type": "FAQPage", "mainEntity": [{ "@type": "Question", "name": "What is the Industrial Internet of Things (IIoT)?", "acceptedAnswer": { "@type": "Answer", "text": "IIoT stands for Industrial Internet of Things. It uses data to improve industrial efficiency. To enhance industrial performance, it uses embedded sensors, cloud data, and connected devices." } },{ "@type": "Question", "name": "Why is the IoT changing manufacturing?", "acceptedAnswer": { "@type": "Answer", "text": "Real-time monitoring of machines and accurate reporting for better decisions are possible through IoT. This improves business strategies and project control. Thus, the Internet of Things has a significant impact on the profitability of any manufacturing company." } },{ "@type": "Question", "name": "How does the IoT transform the way we do business?", "acceptedAnswer": { "@type": "Answer", "text": "We can use data collected by IoT devices to improve efficiency and help organizations make better decisions. They tell organizations the truth, not what they hope or believe." } }] }

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Three Business Examples That Effectively Practice Lean Manufacturing

Article | December 13, 2021

Lean manufacturing principles enable manufacturing businesses to achieve spectacular results and overhaul their conventional operations. A wide range of industries have adopted lean manufacturing because of its enormous advantages, and they have seen excellent results as a result. The 2010 Compensation Data Manufacturing survey indicated that 69.7% of manufacturing organizations employ lean manufacturing principles. By consuming this data, we can understand how far organizations have progressed toward incorporating lean principles into their operations. “Many companies 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, Manufacturing Industry Executive at Microsoft Let's look at some examples of lean manufacturing from some well-known companies. These leading-edge examples of lean manufacturing will shed light on how lean principles positively affect. Leading Companies Using Lean Manufacturing Effectively Successful manufacturing businesses like Toyota, Nike, and Caterpillar are currently employing lean manufacturing ideas in their production processes. In addition, Intel, Parker Hannifin, and John Deere embrace these techniques. From them, we've described three different organizations in various sectors that are successfully adopting lean manufacturing. JOHN DEERE John Deere has also implemented a lean manufacturing strategy. As a result, many of their quality control procedures are automated, which means that more components can be checked for flaws in less time. This means that more supply can be released each day, and the product can be supplied at a lower price to the consumer. Additionally, these controls monitor the manufacturing process for each component of their products, ensuring that they never manufacture more than is required and waste essential materials in the process. INTEL Intel, known for its computer processors, has used lean manufacturing techniques to provide a higher quality product for an industry that requires zero defects. In the past, it took more than three months to get a microprocessor to the manufacturer, but this principle has helped shorten that time to less than ten days. Intel rapidly learned that creating more but worse quality was not the way to raise revenues and increase consumer satisfaction with its products, which were extremely precise and technical. Instead, both parties gain from quality control and waste reduction initiatives. This is even true in the tech industry, where goods are constantly changed and upgraded. TOYOTA Toyota, the world's largest automaker, was the first to implement lean manufacturing in its manufacturing operations. But, even more importantly, they've learned how to limit products that don't match customer expectations by eliminating waste. To achieve these goals, Toyota employs two essential procedures. The first is a method known as Jidoka, which loosely translates as "automation with the assistance of humans." This implies that, although some of the work is automated, humans always ensure that the result is of the highest quality. When something goes wrong, the machines have built-in programs that allow them to shut themselves down. Known as the Just In Time (JIT) model, this is the second stage. Once the last part of a process has been finished, the next phase can begin. No unnecessary work will be done if there is a problem with the assembly line. This lean manufacturing technique has inspired thousands of other businesses. Final Words Lean manufacturing principles and their execution require discipline and patience to get the results out of them. When we see the successful lean manufacturing examples, it is not a fraction of a second success. They have devoted their time, energy, and efforts to modifying every single operational process in order to become a part of lean manufacturing. Lean manufacturing is not a method; it is a way of life that transforms your business practices and takes your firm to a new level of operations. Gain insights from renowned organizations' lean manufacturing success stories to help you become a part of the lean companies of 2022. FAQ What is the effect of lean manufacturing? Lean is a performance-based, continuous-improvement strategy that removes waste and unnecessary processes from organizational operations. As a result, your company becomes more focused on the results. Is it possible for lean manufacturing to fail? It is conceivable in some circumstances, such as failing to focus on a single system implementation or implementing too many system changes at once and failing to have a sound follow-up system to check that everything is working effectively. Why do certain businesses struggle with lean manufacturing? Most businesses fail to see that lean is a management philosophy, not a set of tools. As a result, most corporate leaders either don't understand or lack the patience and control to implement lean manufacturing. { "@context": "https://schema.org", "@type": "FAQPage", "mainEntity": [{ "@type": "Question", "name": "What is the effect of lean manufacturing?", "acceptedAnswer": { "@type": "Answer", "text": "Lean is a performance-based, continuous-improvement strategy that removes waste and unnecessary processes from organizational operations. As a result, your company becomes more focused on the results." } },{ "@type": "Question", "name": "Is it possible for lean manufacturing to fail?", "acceptedAnswer": { "@type": "Answer", "text": "It is conceivable in some circumstances, such as failing to focus on a single system implementation or implementing too many system changes at once and failing to have a sound follow-up system to check that everything is working effectively." } },{ "@type": "Question", "name": "Why do certain businesses struggle with lean manufacturing?", "acceptedAnswer": { "@type": "Answer", "text": "Most businesses fail to see that lean is a management philosophy, not a set of tools. As a result, most corporate leaders either don't understand or lack the patience and control to implement lean manufacturing." } }] }

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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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It's Time to Redesign Your Business with Manufacturing Analytics

Article | December 21, 2021

Consumer demand has shifted dramatically in recent years, and manufacturers are trying to adapt to this shift. To maintain high product quality, minimize costs, and optimize supply chains, manufacturing analyticshas become essential for manufacturers. Manufacturing analyticsis the process of gathering and analyzing data from various systems, equipment, and IoT devices in real-time to get essential insights. 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 Manufacturing analyticscan assist in maintaining production quality, boost performance with high-profit returns, decrease costs, and optimize supply networks. This article will outline manufacturing analyticsand present a list of possible application cases. It will also highlight the benefits of manufacturing analyticsfor any shop floor or factory. Manufacturing analytics: An Overview With manufacturing analytics, we can streamline and speed up the entire process. Data interchange and automation helps in speeding up the production process. Manufacturing analyticsuses predictive manufacturing, big data, Industrial IoT, network virtualization, and machine learningto produce better scalable production solutions. Manufacturing analyticscollects and analyses data from many sources via sensors embedded in machinery to identify areas for improvement. Data is collected and presented in an easy-to-understand structure to illustrate where difficulties emerge throughout the process. In short, manufacturing analyticscollects and analyses large volumes of data to reveal insights that might improve performance. Users can also obtain automated business reports to reply in real-time. Why Manufacturing analytics is Vital for Leading Businesses There are numerous benefits of manufacturing analyticsthat drive any company’s production and overall manufacturing business growth. The benefits of manufacturing analyticsfall into three distinct categories as below. It reduces the overall cost: Analytics may save a significant amount of money if used more efficiently. Labor costs are also reduced due to automation and semi-autonomous machinery. Similarly, preventive and prescriptive maintenance programs may save money while enhancing productivity. It boosts profits for businesses: Manufacturers can respond swiftly to changes in demand using real-time insights in production, inventory management, and demand and supply forecasting. For example, assume the data indicates that they are approaching their maximum capacity. In such instances, they can increase over time, increase capacity, modify procedures, or tweak other production areas to adapt and maintain delivery times. Other unforeseen benefits: There are several advantages to the increased capabilities enabled by manufacturing analytics. These benefits include lower energy use, safer environmental practices, fewer compliance failures, and more customer satisfaction. Five Real-world Applications of Manufacturing Analytics Predictive Maintenance A machine's analytics uses aggregate data from real-time detectors to anticipate when it needs to be replaced or functioning irregularly. This process helps predict machine failure or equipment defects. Analytics can assist in determining a plant's capacity and how many products are produced by the unit in every production cycle, which is helpful in capacity planning. In addition, analytics may help determine the ideal number of units to create over time by considering capacity, sales predictions, and parallel schedules. Predictive analytics solutions can automate maintenance requests and readings that shortens the procedure and reduce maintenance expenses. Product Development Product development is an expensive process in manufacturing. As a result, businesses must invest in R&D to develop new product lines, improve existing models, and generate new value-added services. Earlier, this approach was in place by repeated modeling to get the finest outcome. This approach can now be modeled to a large extent, with the help of data science and technologically superior analytics. Real-world circumstances can be replicated electronically using "digital twins" and other modeling approaches to anticipate performance and decrease R&D expenses. Demand Forecasting Many factors that might help in the plan significant capital expenditures or brief breakdowns can be explained using historical data and a few high-impact variable strategies. For example, consider the seasonality of products like ice cream. As a result, historical market data and a few high-impact factors can help explain numerous variables and plan major capital expenditures or short-term shutdowns. In addition to demand forecasting, predictive analytics incorporates advanced statistical techniques. With predictive analytics, a wide range of parameters, including customer buying behavior, raw material availability, and trade war implications, may be taken into consideration. Warranty Analysis Warranty support may be a load for many manufacturers. Warranties are frequently based on a "one-size-fits-all" approach that is broader. This approach introduces uncertainty and unanticipated complications into the equation. Products may be modified or updated to decrease failure and hence expense by using data science and obtaining information from active warranties in the field. It can also lead to better-informed iterations for new product lines to minimize field complaints. Managing Supply Chain Risks Data may be recorded from commodities in transit and sent straight from vendor equipment to the software platform, helping to enable end-to-end visibility in the supply chain. Manufacturing analyticsallows organizations to manage their supply chains like a "control tower," directing resources to speed up or slow down. They may also order backup supplies and activate secondary suppliers when demand changes. Final Words Businesses should adapt to changing times. Using analytics in manufacturinghas altered the business industry and spared it from possible hazards while boosting production lines. Industry 4.0's route has been carved. Manufacturing analyticsis the key to true Industry 4.0, and without it, the data produced by clever IoT devices is meaningless. The future is data-driven, and success will go to those who are ready to adopt it. The faster adoption, the sooner firms go ahead of the competition. FAQ How can data analytics help manufacturers? Data analytics tools can help manufacturers analyze machine conditions and efficiency in real-time. It enables manufacturers to do predictive maintenance, something they were previously unable to accomplish. Why is data so crucial in manufacturing? Data helps enhance manufacturing quality control. Manufacturers can better understand their company's performance and make changes by collecting data. Data-driven manufacturing helps management to track production and labor time, improve maintenance and quality, and reduce business and safety concerns. What is Predictive Manufacturing? Predictive manufacturing uses descriptive analytics and data visualization to offer a real-time perspective of asset health and dependability performance. In addition, it helps factories spot quality issues and takes remedial action quicker by eliminating the waste and the cost associated with it.

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Spotlight

Barron Lighting Group

Since 1973 the Barron Lighting Group has established a reputation for unsurpassed service and commitment to our customer's needs. Our products have always been known for exceptional quality and reliability. Our trained staff are the most dedicated, customer-centric group in the industry that constantly raise the bar of service.

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