Article | November 20, 2021
Advanced manufacturing enables the concept of industry 4.0 and represents a significant milestone in the manufacturing industry. Additive manufacturing is a critical component of the industry 4.0 concept, propelling the industry to new heights of innovation.
In various fields that are not immediately related to industry 4.0 or manufacturing, additive manufacturing has alternatively been referred to as 3D printing. The numerous advantages of additive manufacturing, such as reduced cost and time, are boosting its popularity and use in manufacturing and other industries.
“Digital technology is so empowering on so many fronts, but for it to be empowering, it must be for everyone.”
– Michael Walton, Director, Industry Executive (Manufacturing) at Microsoft.
The global market of additive manufacturing is anticipated to increase at a 14.42 percent compound annual growth rate from USD 9.52 billion in 2020 to USD 27.91 billion in 2025. According to this market research, the future of 3D printing or additive manufacturing is quite bright in the coming years, and we will see widespread application across industries.
First, let us understand the idea of additive manufacturing and its benefits to various industries.
Concept of Additive Manufacturing
Additive manufacturing is building a real thing from a three-dimensional computer model, often by successively layering a material. This technique utilizes computer-aided design (CAD) software or 3D object scanners to command devices to deposit material in exact geometric shapes layer by layer. As the name implies, additive manufacturing involves the addition of material to produce an object.
Additive Manufacturing Benefits
Produces Fewer Scraps and Trash
When we compare additive manufacturing to traditional manufacturing techniques such as milling or turning, additive manufacturing adds only the amount of material required to build a product. As a result, it generates less waste and conserves scarce resources.
Reduces the Time and Cost of Prototyping
Making a product prototype is now faster, easier, and cheaper. Other production processes, like milling, have high setup and material costs. Prototyping is less expensive and takes less time, so you can quickly produce, test, and modify. It also shows practically instant verification of progress done.
It Encourages the Digitalization of Businesses
Continuous and effective communication between devices, machines, and robots is required for additive manufacturing. However, this is only achievable with effective digitization of production processes. As a result, businesses invest more in digital and IoT, a prerequisite for Industry 4.0.
It Simplifies the Assembling Process by Condensing it into a Single Component
Additive manufacturing in Industry 4.0 also simplifies the production process, especially product assembly. A traditional component requires numerous manufacturing procedures. This increases material and labor expenses as well as production time. However, additive manufacturing allows you to print the group in one piece.
The Top Three Industries That Make the Most Use of Additive Manufacturing
Additive manufacturing is presently used in a variety of industries. However, specific sectors make the best use of it. Thus, we will examine the industries embracing additive manufacturing technology and emerging with new life easing solutions.
In the healthcare industry, dentistry is the critical application of additive manufacturing. Technology helps it create bridges, crowns, braces, and dentures, always in high demand.
Additive manufacturing has also been used to create tissues and organs, surgical tools, patient-specific surgical models, and personalized prosthetics. For example, many medical equipment companies employ 3D printing to build patient-specific organ replicas that surgeons can practice before completing complex surgeries.
Additive manufacturing is utilized to fabricate metal brackets that serve as structural components within airplanes. Prototypes are increasingly being printed in three dimensions, allowing designers to fine-tune the shape and fit of finished parts. In addition, interior airplane components such as cockpit dashboards and door handles are manufactured using 3D printing services.
3D printing can manufacture molds and thermoforming tools, grips, jigs, and fixtures for the automotive industry. Automakers utilize additive printing to customize parts for specific vehicles or drivers (e.g., seats for racing cars).
An appealing colored dashboard, efficient fuel systems, and complicated braking mechanisms are all possible with 3D printing in the automotive industry. Therefore, it is best suited for pre-production, manufacture, and modification of automotive parts.
How Does NASA use additive manufacturing in its space projects?
The space environment has always been unpredictable, and scientists must be adequately prepared before embarking on any space mission. They must consider the durability and weight of all the objects they propose to transport into space. To land any object on a planet that does not have a flat surface or similar weather conditions to earth, scientists must design each object with these considerations in mind.
“You always want it to be as light as possible, but you also want it to be strong enough.”
-Chris Chapman, NASA Test Engineer
It is not conceivable to make items capable of dealing with all the changes on other planets and achieving these project objectives using conventional materials and production processes. However, scientists do require a technique that will enable them to manufacture lighter and stronger objects for their space missions.
3D printing has played a significant part in meeting this demand and has provided space projects to manufacture objects that would withstand any unexpected events during space missions. For example, NASA employed 3D-printed metal components in their Mars project.
NASA's specialized engineers are utilizing additive manufacturing to create rocket engines and possible Moon and Mars outposts. NASA used the 11 3D printed metal components on its Mars mission as well. It employed 3D printed components for the first time in the Curiosity rover, which landed on Mars in 2012. It was a successful project, and NASA has since begun employing 3D printed parts in its space missions to make machines lighter while remaining robust and functional.
Additive manufacturing technology is making a real difference in the manufacturing process, and it is becoming the trending technology in the manufacturing industry. The benefits of additive manufacturing make the manufacturing process more advanced, easy, and customer-oriented. Additive manufacturing is the major transformation in the manufacturing industry and will take it to new heights of precision.
Why is additive manufacturing critical?
Additive manufacturing reduces the time and cost of prototyping and reduces the scraps amount during the manufacturing process of any object. In addition, it simplifies multiple processes from various industries.
Are additive manufacturing and 3D printing the same?
Yes, additive manufacturing and 3D printing are the same processes with different names as per the choice of the different industries. For example, in some industries such as space missions, It is also referred to as Fused Deposition Modelling (FDM).
Which is the most applied sector for additive manufacturing?
Healthcare is the industry that utilizes additive manufacturing technology the most. It also helps medical practitioners practice surgery on any critical body part with its 3D printed model from human tissues.
"name": "Why is additive manufacturing critical?",
"text": "Additive manufacturing reduces the time and cost of prototyping and reduces the scraps amount during the manufacturing process of any object. In addition, it simplifies multiple processes from various industries."
"name": "Are additive manufacturing and 3D printing the same?",
"text": "Yes, additive manufacturing and 3D printing are the same processes with different names as per the choice of the different industries. For example, in some industries such as space missions, It is also referred to as Fused Deposition Modelling (FDM)."
"name": "Which is the most applied sector for additive manufacturing?",
"text": "Healthcare is the industry that utilizes additive manufacturing technology the most. It also helps medical practitioners practice surgery on any critical body part with its 3D printed model from human tissues."
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.
Article | October 8, 2021
The trends in the manufacturing industry for 2022 are expanding and altering the industry's conventional face. The future of manufacturing is going to merge with digitalization and technological applications. As a result, all operation methods, products, and manufacturing outcomes will be modernized with new technology applications.
To brighten the future of manufacturing, manufacturing companies must examine new trends in the industry before developing their manufacturing plans for 2022. Technological advancements are the next game-changer in the manufacturing business.
Adeaca's Vice President of Market Innovation and Project Business Evangelist had recently quoted in an interview with Media7 as,
“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
The new trends in manufacturing are leveling up every part and element of the industry. In this article, we'll look at a new trend for each industry aspect that's assisting manufacturers in speeding up the production process, increasing ROI, and propelling their manufacturing business to new heights.
Additionally, it will assist you in addressing current industry challenges such as forecasting product demand, addressing skilled manpower shortages, and increasing manufacturing plant efficiency.
Five Manufacturing Industry Trends to Watch in 2022
Emerging trends in manufacturing provide a chance to review your production strategy for products and processes. Check out below the upcoming trends in manufacturing that are getting attention in the industry.
Customer Engagement and Purchase Experience
Creating an exceptional digital customer experience is a new trend in manufacturing. According to industry experts, mapping the customer journey and their interactions with your products is the first step towards establishing a positive connection with your potential consumers.
A few of the most popular strategies to improve the consumer purchasing experience and engagement are as follows:
Build a knowledge base for your products on your business website
Create a comprehensive FAQs page that addresses all of the buyer's possible queries
Create a chatbot to provide immediate help to the buyer with further inquiries
Create a brand story and a comprehensive description of your manufacturing business
If possible, provide product statistics and success stories, and content about consumer satisfaction with your product
Create a product functionality video or explanatory picture material to familiarize the potential customer with your product
These are some of the trends that engage your prospective buyers and increase their purchasing experience through a range of product-related information and educate them about you and your products.
Smart Technology-enabled Products
Smart is the new norm in every industry. The old operations and goods that were once a part of everyone's life have now been replaced by technology. Manufacturing is no exception to this alteration. Due to the increasing demand for smart products among customers, every company is now looking forward to inventing and manufacturing smart products.
Explore and understand how you may incorporate cutting-edge technology (Artificial Intelligence, Machine Learning, Edge Computing, and Digital Twins, and more) into your products to help them stay updated with manufacturing trends.
Virtual and Augmented Reality in Manufacturing (Industry 4.0)
Transforming traditional manufacturing systems and processes into smart, tech-savvy ones is a new trend in manufacturing. The future of manufacturing is expected to witness this digitization in 2022 and beyond. Therefore, you must convert your conventional manufacturing plants into smart ones, i.e., as per the concept of Industry 4.0 – the fourth industrial revolution.
Discover how prominent companies are implementing Industry 4.0
The following are some popular transformations that many popular manufacturing factories are adopting to become part of the industry revolution.
To achieve a zero-carbon footprint, manufacturers may use analytics systems to determine the amount of trash they create and develop ways to eliminate it. (Implemented by Whirlpool)
Utilize an analytics platform to decipher usage data for energy, water, and other utilities. (Implemented by Whirlpool)
Utilize technology such as Siemens' Mindsphere, which enables online analysis of several aspects of a production plant and helps manufacturers create digital models using real-time data. (Implemented by Siemens)
Utilize a combination of IoT and cloud-based technologies to avoid downtime and gather analytics data. (Implemented by Hirotec – a Japan based manufacturing company)
Machine learning technology can be used to foretell and avoid system failures in your manufacturing plant. (Implemented by Hirotec – a Japan based manufacturing company)
Utilize robotics and to accelerate manufacturing across many verticals. (Implemented by Ford)
Utilize 3D printing to improve the precision of product design and to avert product defects during the early production stage. (Implemented by Aerospace: Airbus) These are some examples that other well-known manufacturing companies in the market, such as Hewlett-Packard, Ford, Whirlpool, and Siemens are currently using. So, consult an expert and determine how to leverage emerging technology to turn your production plant into a smart manufacturing unit.
Internet of Things (IoT) to Boost Revenue
Manufacturing companies have begun to leverage the Internet of Things to establish connectivity between machines and operational procedures throughout manufacturing. This linkage between machine and operation significantly decreases the human supervision required for each step and completely automates them.
Manufacturers intend to incorporate these IoT trends in manufacturing into both their products and operational processes. IoT further enables manufacturers to operate and monitor their work remotely. As a result, they can concentrate on developing new strategies and preparing for future ventures.
Shifting Focus from B2B to B2C Model
Several manufacturers skip intermediaries and connect directly with their consumers to sell efficiently to their target consumer group. This purposeful approach has multiple benefits, which are outlined below.
Manufacturers may skip the lengthy retail sales cycle and achieve a shorter time to market
The absence of a third party between the manufacturer and the customer reduces the risk of brand misinterpretation or dilution
Direct interaction with customers enables manufacturers to obtain more accurate consumer data, product feedback, and requirements for new product development
Manufacturers can control the price of their products due to the absence of a third party between them and the target consumer group
These benefits of the B2C model attract manufacturers and encourage them to develop added production techniques with these benefits in mind.
Technology, innovation, and digitization are the future of manufacturing. The IoT trends in manufacturing are essential for industrial production and will allow the manufacturing industry to obtain a new competitive edge. Hence, manufacturers must keep in mind this industry revolution (industry 4.0 and 5.0) while developing strategies for their manufacturing operations in 2022.
What are the benefits of adopting the Internet of Things in manufacturing?
IoT devices can monitor industrial operations, manufacturing cycles, and other warehouse data management processes automatically. This benefit decreases the amount of time spent monitoring individual operations and increases production speed.
What role will smart manufacturing play in the future?
According to a grand view research analysis, the smart manufacturing market was worth USD 236.12 billion in 2020 and is expected to extend at a 12.4 percent compound annual growth rate to reach USD 589.98 billion by 2028.
What are the critical components of the smart factory of the future?
Robotics, the Internet of Things, big data, and cloud-based administration will be critical components of the future smart factory.
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.
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.
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.
"name": "How is machine learning used in manufacturing?",
"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."
"name": "Which two forms of machine learning are there?",
"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."
"name": "What is a machine learning model?",
"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."