The future of global manufacturing

BRAHIMA SANGAFOWA COULIBALY AND KARIM FODA| March 04, 2020
THE FUTURE OF GLOBAL MANUFACTURING
Today’s rapidly evolving manufacturing technologies including artificial intelligence, advanced robotics and the internet of things-often referred to as Industry 4.0 technologies-are poised to reshape the global manufacturing landscape, with important consequences for the traditional role of manufacturing in economies structural transformation, growth, and job creation.

Spotlight

Fast Radius, Inc.

Fast Radius is the leading provider of additive manufacturing solutions. We do four things: application discovery, product design and testing, production-grade manufacturing, and global fulfillment. Whether it's creating entirely new products enabled by additive manufacturing, or innovating your supply chain solutions, Fast Radius brings the future of manufacturing to you.

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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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Manufacturing Branding: A Ground-breaking Method for Increasing Product Sales

Article | January 19, 2022

Manufacturing branding is a relatively recent trend that is gaining traction in the manufacturing sector. Brand marketing is important for manufacturers in a variety of ways, including increasing business revenue and establishing product credibility within their target consumer group. 82% of people feel better about a brand after reading personalized content. 94% of customers are inclined to develop a relationship with a brand that is completely transparent. 13% of consumers would spend 31-50% more on your products or services if they believed your business was making a positive difference in the world. In this article, we will look at the advantages of branding to a manufacturer as well as how brand manufacturing may be established. What Difference Can Manufacturer Branding Make? "A brand is a voice, and a product is a souvenir" -Lisa Gansky, an American entrepreneur, writer, and speaker Your Name and Work Will Be Publicized Branding is the process of enriching your products with a visual, linguistic, and conceptual identity that differentiates them from competitors. Ideally, factory branding would help you reach out to your potential clients by making them aware of your company's name and becoming familiar with what you do. Brand Marketing Builds Emotional Bonds Manufacturing branding is more than merely developing an image in the minds of your customers. It's about telling a story that strikes a chord with them.Once you've defined your message and the motivation for developing your products, customers will be able to connect with you more easily.Relatability is critical in an era of ever-changing trends and consumer behavior. Your clients will simply switch over to another firm that provides the same service and fosters a sense of belonging. The emotional value of your manufacturing brands should not be underestimated. Building Trust Is Easier with a Strong Brand A manufacturing brand that wishes to remain in business for the long run will communicate with its customers. The customers understand that you would not connect or share your story unless you intended to grow with them. However, this strategy works only if the factory branding is well-executed and demonstrates its authenticity. Modern customers can easily notice dishonesty or the use of a phony character. Increase of Distribution Channels Working on your manufacturing branding will help you expand your sales. Just make sure you have the necessary tools to sell via different channels. Creating a memorable brand doesn't merely attract customers. It will also assist in attracting potential distributors who may otherwise be reluctant to be your distributing partners. Your ability to negotiate quality agreements with resellers and reps will increase when your manufacturing brand is well-known. It simplifies their lives and saves them money on marketing. This is a domino effect issue. More distributors mean more exposure for your business, but a delicate balance must be maintained. Your personal connection with clients may be lost if you abdicate brand responsibility. So, provide superior customer service to maintain a connection with your customers. Profit Margin Is Increased A strong manufacturing brand will allow you to sell at greater prices. People will be happy to pay for a quality brand that they can trust. But what would really set you apart from the rest is if you could beat private companies at branding. Private brands are the house brands of shops and huge resellers who offer cheaper copies of your goods. Customers should be able to tell the price difference between a factory brand and a private brand. "You can’t build a reputation on what you are going to do." – Henry Ford, the founder of the Ford Motor Company How to Build an Effective Manufacturing Brand? Identify Your Intended Audience Identifying your target demographic is the first step in intentionally building your brand. You can build a buyer persona of the typical user of your product or by analyzing your current consumer base. Consider their age, gender, industry, occupation, education, interests, etc. To grow your brand and market your products more effectively, you need to create a buyer persona. Conduct Competitor Analysis Following that, it would be advisable to analyze your competitors' brands. In various markets and with companies in general, there are many brand features that are unique and widely utilized, and it would be counterproductive for a corporation to highlight those elements. For example, many B2B companies take pride in their product quality, reliability factor, and personal touch. When everyone is highlighting the same brand qualities, you will need a unique approach to stand out. Developing a Central Theme A brand's central theme acts as a pillar. It summarizes your company's principles and objectives in a single statement, or perhaps one word. It's a lot simpler to come up with marketing ideas and campaigns that connect with your company's philosophy and seem like a part of the brand. Developing Your Brand's Individuality Now, imagine your brand as a person, considering the preceding phases. You may gather every piece of information possible. The more specific you are, the more solidity your brand identity will have. Brand themes may help you develop your brand's personality and story. Using themes, you may classify individuals and fictional characters based on a common set of personality qualities. These are commonly used in psychology and marketing. Creating a Visual Brand for Your Business Finally, create a visual illustration for your organization. This includes producing unique logos that represent your company's beliefs, selecting colors, designing your website and blog, and everything that can be related to visualizing your corporate brand. Get familiar with geometric and color psychology, look at what prominent brands and other firms in your industry have done, and get on board with a good graphic designer to create the materials. Best Channels for Manufacturers' Branding Many businesses utilize social media, blogging with SEO suggestions, and email newsletters to boost their online presence. Content is the most important consideration when adopting these marketing methods. Hire good specialists to assist you in understanding your buyer's persona and developing buyer-centric content to capture their attention and generate potential leads for your business.An active social media presence enables you to increase the number of followers on your social media sites and reach millions of people via these platforms. Furthermore, you can start weekly newsletters to keep your subscribers updated on the latest developments, campaigns, and how you're working to develop the best goods possible for your target groups. Final Words Effective branding for manufacturing is what you need to increase your company's popularity and demand in a competitive market. Once you've established yourself as a known brand in your sector, you may pursue manufacturer branding, which is used by many well-known manufacturers such as Ford, Nestle, Coca-Cola, and Apple. Use the above-mentioned techniques to create your own brand and stay ahead of the curve in your industry. FAQ What are the four elements of branding? A successful brand requires a strong brand identity, brand image, brand culture, and brand personality, all of which must be present. What is the manufacturer’s brand? A product that has the manufacturer’s name on it or is used to market and sell the product. What is manufacturers’ label? The manufacturers label provides name and address of the manufacturer or distributor and relevant hazard warnings.

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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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AGV ROI Starts with a Delivery Commitment

Article | January 4, 2022

So much emphasis has been placed on features, advantages, and benefits; too little attention has been paid to delivery dates. The best automation solution on paper means nothing if it cannot be delivered in 2022. Selling the sexy sizzle of new, clever, even remarkable AGVs means nothing if manufacturers and distribution centers cannot take delivery of the product until 2023. Throughout industrial manufacturing and distribution the lead time from many AGV manufacturers is more than a year. That means product ordered in Q1 2022 will not be delivered until the following year. That is an absurd lead time and reflects poor planning and unnecessary supply chain constraints.

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Spotlight

Fast Radius, Inc.

Fast Radius is the leading provider of additive manufacturing solutions. We do four things: application discovery, product design and testing, production-grade manufacturing, and global fulfillment. Whether it's creating entirely new products enabled by additive manufacturing, or innovating your supply chain solutions, Fast Radius brings the future of manufacturing to you.

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