Is additive manufacturing a workforce development strategy?

KIRK ROGERS| December 28, 2018
IS ADDITIVE MANUFACTURING A WORKFORCE DEVELOPMENT STRATEGY?
Recently, a potential client asked if we The Barnes Group Advisors could give a presentation to their stakeholders. Requests like these are common and topics typically include Industrial Additive Manufacturing or The Future of Additive Manufacturing.

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The Manitowoc Company

Manitowoc is a standalone cranes business, creating market leading lifting solutions and manufacturing a range of innovative products and unparalleled product support services. Manitowoc’s strong brand signals our industry leadership, provides a competitive edge, and builds on our reputation for excellence.

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4 Strategies to Make Your Production More Efficient in 2021

Article | July 13, 2021

The start of the new year is a great time to critically take a look at your processes and see how you can improve. Here at FANUC, we have identified four key strategies manufacturers can use to boost their efficiency! Add Automation Automation can increase production and efficiency no matter the type or complexity of the manufactured products. With space at a premium in most production facilities, many job shops look for machine tending robots that are easy to integrate and have a small footprint. FANUC's robots and software make it easy to connect the equipment and improve throughput as well as overall equipment effectiveness. Quick and Simple Startup of Robotization (QSSR) allows up to four machine tools to be connected with a robot using just one Ethernet cable. Use the Latest and Greatest Machining Practices and Technology Many manufacturers leave performance on the table due to outdated processes and programming. Are you getting the most out of your machining? Now’s the time to look at the advantages in new CNC technology. Because new controls have greater processing speed and can implement advanced algorithms, they can do a lot more for your operations. Moreover, the interfaces have become simpler and more intuitive, so they are easier to use than ever before. Digitize Your Process New digital tools are breathing innovation and life into increasingly more areas of manufacturing, including the application of digital twins in the machining industry. Digital twins provide virtualization of the machine, control and manufacturing process. Digitalizing traditional manufacturing processes have the potential to make operations more efficient by proving out production processes in the virtual world. That means less waste, more efficiency and a more equipped workforce. Upgrade Your Shop with a CNC Retrofit Do you have legacy equipment? Running older machinery can have hidden costs, such as taking the time to source and find older replacement controls leading to significantly longer total downtime and production losses. However, scrapping old equipment and starting new, might be too expensive, especially when factoring in tooling, fixturing, rigging and foundation. Plus, new machines may require more training for staff. A CNC retrofit, with new FANUC CNCs, industrial PCs, servos and cabling, can speed up processing and reduce cycle time by as much as 50 percent.

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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. 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Technologies to Adopt Now to Enable the Smart Warehouse Concept

Article | December 8, 2021

Why should warehouses be left behind as everything gets smarter in the manufacturing world? The future warehouse will be smarter and more innovative to speed up supply chain management procedures and assist businesses in intelligently segregating their raw materials and manufactured goods. So, what does it mean to have "a smart warehouse"? A smart warehouse is a big infrastructure that stores raw materials and manufactured goods and employs machines and computers to handle routine warehouse tasks that humans previously performed. Smart warehouses are inspired by smart factories and operate in a data-driven environment. It is the ability of the system in the warehouse to make it more efficient and productive by utilizing networked, automated technology. “I advocate business leaders get to know more about what AI can do and then leverage AI in proofs of concept.” – Michael Walton, Director, Industry Executive (Manufacturing) at Microsoft According to EASYECOM, nine out of ten businesses intend to include commercial service robots into their operations in some form. By 2025, it is projected that there will be roughly 23,000 robotic warehouses in the United States alone, up from only 2,500 in 2018. Furthermore, the global smart warehousing market is expected to grow at a CAGR of 11.5 percent from USD 14.8 billion in 2021 to USD 25.4 billion in 2026, according to GlobeNewswire. As can be seen, the current warehouse automation trends are scaling up the worldwide market for smart warehouses, and the value of the smart warehouse business has a long way to go in the future. So, what are the technologies that are changing traditional warehouses into intelligent warehouses? Continue reading this article to get a better understanding of this. Top 5 Warehouse Technologies to Take On Numerous manufacturing and non-manufacturing organizations, including IKEA, NIKE, and WALMART, utilize smart warehouses to streamline their overall operations. The technologies listed below assist many of them in implementing the modern warehousing idea. A Warehouse Management System Warehouse Management Systems, or WMSs, are comprehensive software systems that consolidate all of your critical data onto a single platform that can be easily accessed by team members and selected supply chain partners. This data compartmentalization allows for lightning-fast reporting, which allows for super-efficient planning, even for unexpected events. Overall, the use of warehouse management systems complements the use of other automated aspects perfectly. Automated Picking Tools The days of error-prone picking are long gone; now, when picking automation elements are integrated into the flow, warehouses can profit from near-perfect picking rates. In addition, picking procedures can be aided by various techniques, including voice-automated order picking, pick-to-light, and robotic order picking. These technologies also use cutting-edge barcoding choices that easily interface with your selected management software to provide the quickest and most accurate automated reporting experiences. Automated Guided Vehicles (AGVs) AGVs, or automatic guided vehicles, are the best approach to speeding up storage and retrieval processes. AGVs are becoming more robust as technology advances, but older models have proven safer and more cost-effective than manual labor. Their functions include pallet, rack, and other container storage and controlling and automating the entire receiving process. Platforms for Automated Inventory Control Automated inventory control platforms, when combined with a few other technological cornerstones, such as asset and inventory tags, may eliminate labor, guesswork, and unnecessary time from traditional inventory control. In addition, there are several advantages to using these platforms, including their ability to automatically count inventories and synthesize data for real-time reporting that can be viewed remotely. IoT Implementation The Internet of Things (IoT) is used by some of the world's most efficient smart warehouses, such as Amazon, as an entire concept rather than a specific technology. All of your automated and manual operations may be optimized when IoT is used to control all of your moving parts, both automated and manual. This innovative technology helps optimize a warehouse's inventory control systems, workforce planning, and, of course, the overall customer experience. While implementing technology improves the notion of a smart warehouse, it isn't always possible for every warehouse to do so instantly, especially since implementing technology takes significant financial and infrastructure changes. That's why warehouses are adopting the concept of collaborative robots (cobots). These are the autonomous elements that work with existing human workers. Cobots allow warehouses to preserve many of their existing procedures and infrastructure while gaining the benefits of fully autonomous elements. Amazon's Smart Warehouses Integrates Humans and Robots Amazon acquired Kiva Systems for $775 million in 2012, highlighting its interest in warehouse robotics. Kiva Systems was the sole known producer of warehouse robots, serving many different logistics organizations. Amazon bought Kiva Systems' machines, constructed and used them all. Amazon Robotics is a new business unit that the company has developed. Amazon recently established a semi-automated warehouse with human workers and robots. As a result, simple chores like moving parcels and scanning barcodes are automated. However, organizing goods and carrying complex objects (like bottles) is still part of human work. Amazon's automated warehouse employs over 400 robots and hundreds of human employees. Amazon's rise in two crucial areas – online shopping and logistics – has been accelerated by warehouse robots. Final Words Modern warehousing is a new trend in the manufacturing industry that automates numerous procedures required for keeping manufacturing materials and products organized. Technology trends in warehousing are making manufacturers' jobs easier and promoting the future warehouse model in 2022. Implement the cutting-edge technology outlined above to stay current with warehousing trends and boost productivity, efficiency, accuracy, and flexibility for your personnel and their operations. FAQ What are the key benefits of a smart warehouse? A smart warehouse improves the warehouse's productivity, efficiency, and accuracy. It also allows personnel and procedures to be flexible. What exactly is WMS? A warehouse management system (WMS) is a software solution that handles the supply chain from the distribution center to the retail shelf. What is COBOT? Cobots are designed to work with people rather than replace them. Cobots are also known as people-focused robots. They can help humans simplify and improve their work. { "@context": "https://schema.org", "@type": "FAQPage", "mainEntity": [{ "@type": "Question", "name": "What are the key benefits of a smart warehouse?", "acceptedAnswer": { "@type": "Answer", "text": "A smart warehouse improves the warehouse's productivity, efficiency, and accuracy. It also allows personnel and procedures to be flexible." } },{ "@type": "Question", "name": "What exactly is WMS?", "acceptedAnswer": { "@type": "Answer", "text": "A warehouse management system (WMS) is a software solution that handles the supply chain from the distribution center to the retail shelf." } },{ "@type": "Question", "name": "What is COBOT?", "acceptedAnswer": { "@type": "Answer", "text": "Cobots are designed to work with people rather than replace them. Cobots are also known as people-focused robots. They can help humans simplify and improve their work." } }] }

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Egyptian Warehouse Automation Leader Solves North American Supply Chain Disruption Challenges

Article | January 20, 2022

COVID drove many supply chain disruptions in 2021. This was particularly true for companies using Asia to source product. Sadly, the bottleneck continues in 2022, but there are new channels now available to serve the North American material handling market. System integrators, dealers, and distributors in the space cannot work with vendors who offer slow delivery timetables. Customers want shelving, racking, conveyors, and robotics no later than Q3 2022. MODEX 2022 provides answers to solve the supply chain disruption MODEX 2022 (March 28-31, 2022) in Atlanta, will once again bring many global manufacturers to the event. Nearly 800 exhibitors and 40,000 attendees will respect COVID health and safety protocols while learning about much needed solutions from a variety of global manufacturers. For the first time there is an African company exhibiting at MODEX: LinkMisr International. Booth #C5475

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Spotlight

The Manitowoc Company

Manitowoc is a standalone cranes business, creating market leading lifting solutions and manufacturing a range of innovative products and unparalleled product support services. Manitowoc’s strong brand signals our industry leadership, provides a competitive edge, and builds on our reputation for excellence.

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