Best 3D Modeling Software for Mac: 3D Printing with Mac OS

FABIAN| August 21, 2018
BEST 3D MODELING SOFTWARE FOR MAC: 3D PRINTING WITH MAC OS
Not all 3D modeling software is available for every operating system. That’s why we compiled a list of the most popular 3D design programs for Mac users. Read on to discover the top 20! The list of the most used 3D design software for Mac (see below) is based upon our list of the 25 most popular 3D modeling programs.

Spotlight

Surface Mount Technology Corporation

Surface Mount Technology provides Electronic Manufacturing Services (EMS) including design, prototype and manufacturing services with a focus on low-to-medium volume, high mix, simple to complex PCB assembly and complete Higher Level Assembly builds. We have built an industry reputation around our expertise in new product development, manufacturing for excellence, supply chain management, and customer relations with a focus on exceptional quality while reducing total cost.

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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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How Intent Data for Manufacturers Can be Beneficial in 2021?

Article | April 6, 2021

As the pandemic upended plans for marketing and sales in 2020, it forced marketers in the manufacturing industry to adopt the tactics of the remote world. Many of them are still wondering how they can focus on driving business growth in 2021. Intent data has undoubtedly added some spice to the season of online marketing. Research conducted by B2BecNews on 110 businesses found that 59.5% of business buyers research two to three websites before buying while 29.7% research up to seven websites. The “How” of Intent Data Intent data allows businesses to channel their expenditure to the leads that matter the most. It boosts sales and encourages marketers to be smarter by doing more in less time. Moreover, b2b buyers now tend to look for an immersive digital experience and are likely to conduct more and more searches before engaging with a brand. Such digital activity will tell you what a visitor’s intentions are called the intent data. To drive your business, here are some tried-and-true and unexpectedly productive ways to scale up your marketing and sales game using intent data. Improve your Sales Pitches/Pipelines When you are expanding or redefining your business because you want to target a new market or audience, third-party intent data is a decent place to start. Through intent data, your sales team can build a year’s pipeline by reaching target audiences. To get the value of your sales, you can use intent data categorizing with a professional group, seniority, functional area, business size, and more for targeted prospects. And if your data provides contact information, your sales team will have an even deeper understanding of the dynamics of prospects’ buying activities. Moreover, learning about the fact if a CEO or a random visitor visits your website creates a difference between a quality lead and a generic one. There are times when organizations don’t vigorously look for a product. But with the right content force, you can direct them towards a purchase decision. This way, you can get a chance to pitch and improve sales. So, how can content pitch sales? The next point explains the importance of nurturing content on your website. Nurture with Personalized Content Once you target new prospects, you can nurture them with excellent and informational marketing content. These can be in various forms like articles, blogs, advertisements, social media, infographics, and more. Personalization results better in the sea of marketing (digitally or manually). Since the pandemic has pushed the digital world extensively, personalization is on a hike. Companies that personalize their marketing strategies to communicate are improved by 86% in customer relations, have higher conversation rates, and observed improvement in businesses. To personalize your content, you have to look at intent data and search for the prospect’s interests. After your research, you can create content for them. Paying attention to contextual information will improve the prospect’s experience, causing them to turn into your client. After you create personalized content, what will happen next? Find out ahead. Generate High-Quality Leads Intent data tells you how far each prospect has progressed. A combination of intent and context data helps with lead scoring, which shows you the quality of leads. For example: A visit to your website by an intern is somewhat different from a CEO’s visit. Consuming content on general industry information differs in value from product-specific content that provides information on websites. When a visitor compares prices, it intends to buy, opposite to a visitor who bookmarks pages. Besides, intent data for manufacturers also tells: Channels to target your prospects actively. Content to encourage Offers to serve The timing of each lead nurturing action Improve Account-Based Marketing Campaigns Account-based marketing and intent data go hand-in-hand. So, it would be best if you worked through every possible path to collect more information about your prospects. This way, it will help you take a focused approach. Once you identify the interested prospects, you can focus your time and energy on those accounts and expand your reach. Intent data helps you to find more in-market customers. They can score leads with better precision and re-shape your marketing campaigns by showing up with the right message at the right time. Include Marketing Automation Operations Implementing marketing automation technologies with intent data will save your team's time. As they usually spent analyzing data entry by automatically setting alerts when buyers intend to show their interest. Why is Intent Data for Manufacturing Becoming Crucial for Future? With marketers, or say, manufacturing marketers, it's always vital to drive revenue for business and get ahead with trending marketing paths. For this, knowing intent of prospects is a must to gain success. Knowing a prospector’s behavior can help your marketing team target a specific profile and create personalized content on demand to increase their purchase decision. After all the information is collected, prospects become more knowledgeable and informed of the decision they make. More information attracts more potential buyers when they are informed conveniently at the right time and manner. In this entire process, you gain an increased ROI. These aspects are incomplete without intent data for manufacturers, which targets numerous data and creates an easy baseline so that marketers can learn precisely about potential prospects’ behaviors. Intent data can be used for the future through a particular pattern. Generic marketing campaigns delivered to a random audience will simply shut down your business. Because now, the users expect to see content that’s valuable to them. Therefore, intent data for manufacturers is the key to providing better answers and solutions and allowing better marketing budgets. Both of these lead to more conversions which results in more revenue. Frequently Asked Questions How is intent data collected? The collection of intent data is not new to marketers. It has gained prominence only after the pandemic. The data is gathered through the website. Its analysis is done by tracking visitors to the website, clicks, chatbots, duration of stay, and information search. How can manufacturers leverage intent data? The steps to leverage are: 1. identify the prospect and what it wants to search or trying to search. It could be keywords, trending words or phrases, and more. 2. Create quality yet informational content following the prospects’ interest. 3. Now, it’s time to promote content with the right on different channels to attract prospects. What are the intent data tools for manufacturers? Some good intent data tools manufacturers can use are: Leadfeeder ZoomInfo KickFire DemandJump What is buyer intent data for manufacturers? Through buyer intent data, your sales team easily reaches out and gets engaged with the right prospect at the right time. Manufacturing marketers use it to plan can create effective campaigns to target potential ones and convince them to buy. { "@context": "https://schema.org", "@type": "FAQPage", "mainEntity": [{ "@type": "Question", "name": "HOW IS INTENT DATA COLLECTED?", "acceptedAnswer": { "@type": "Answer", "text": "The collection of intent data is not new to marketers. It has gained prominence only after the pandemic. The data is gathered through the website. Its analysis is done by tracking visitors to the website, clicks, chatbots, duration of stay, and information search." } },{ "@type": "Question", "name": "HOW CAN MANUFACTURERS LEVERAGE INTENT DATA?", "acceptedAnswer": { "@type": "Answer", "text": "The steps to leverage are: 1. identify the prospect and what it wants to search or trying to search. It could be keywords, trending words or phrases, and more. 2. Create quality yet informational content following the prospects’ interest. 3. Now, it’s time to promote content with the right on different channels to attract prospects." } },{ "@type": "Question", "name": "WHAT ARE THE INTENT DATA TOOLS FOR MANUFACTURERS?", "acceptedAnswer": { "@type": "Answer", "text": "Some good intent data tools manufacturers can use are: Leadfeeder ZoomInfo KickFire DemandJump" } },{ "@type": "Question", "name": "WHAT IS BUYER INTENT DATA FOR MANUFACTURERS?", "acceptedAnswer": { "@type": "Answer", "text": "Through buyer intent data, your sales team easily reaches out and gets engaged with the right prospect at the right time. Manufacturing marketers use it to plan can create effective campaigns to target potential ones and convince them to buy." } }] }

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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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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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Spotlight

Surface Mount Technology Corporation

Surface Mount Technology provides Electronic Manufacturing Services (EMS) including design, prototype and manufacturing services with a focus on low-to-medium volume, high mix, simple to complex PCB assembly and complete Higher Level Assembly builds. We have built an industry reputation around our expertise in new product development, manufacturing for excellence, supply chain management, and customer relations with a focus on exceptional quality while reducing total cost.

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