Article | November 20, 2021
Modern manufacturing methods are pioneering and adopting manufacturing industry advancements. To remain competitive in the present era and provide the most excellent industry solutions to your organization and target customer group in 2022, you must employ new manufacturing technologies in your manufacturing processes.
Additionally, embracing current technologies is the ideal approach to tackle the industry's current challenges such as workplace safety, digitalization of operations, and a lack of skilled workers.
This article will discuss some of the leading manufacturing technologies that transform traditional manufacturing facilities into smart manufacturing factories. So, let us begin.
Manufacturing Technology & Innovations for 2022
To better understand industry 4.0, let's look at some of the manufacturing technologies that will dominate the manufacturing industry in 2022.
Numerous industries, including aerospace, healthcare, electronics, and architecture, utilize 3D printing in manufacturing. It is the most widely used technology across industries and will remain so in 2022 and in the years to come.
We may also anticipate more advancements in this technology to help overcome current barriers to 3D printing adoption, including equipment costs, material constraints, lengthier manufacturing times, a lack of knowledge, and legal issues.
Additionally, it would assist manufacturers in overcoming current manufacturing challenges such as increasing product demand, increasing automation, and locating and retaining the workforce in manufacturing plants. It is vital to incorporate 3D technology into production processes to achieve greater precision and accuracy in manufacturing.
The Internet of Things is a critical component of the industry 4.0 revolution. It has altered the environment of data collection and analysis across sectors. For example, the Internet of Things is assisting manufacturers in better understanding manufacturing and supply chain operations, forecasting product demand, and boosting customer experiences.
Implementing IoT in your manufacturing plant will also help you avoid production delays and increase the performance of your production lines. Additionally, it will decrease equipment downtime and improve process efficiency. It also enhances worker safety and enables more effective labor management.
To begin implementing IoT in your manufacturing plant, you must first examine your manufacturing processes and research how other organizations have implemented IoT in their manufacturing processes or products. This method will assist you in determining the optimal location to begin integrating the IoT in your manufacturing plants and transforming them into smart ones.
“Once you start to look at yourself in the right way and realize that projects are at the core of your business, it is easy to see how you should use technology to support your business.”
– Matt Mong, VP of Market Innovation and Project Business Evangelist at Adeaca.
GD & T
The model created in the CAD program for any product is not exactly replicated with the exact dimensions during the production procedures. Thus, manufacturers or engineers utilize GD&T (Geometric Dimension &Tolerancing) to manage and communicate the permissible variation within a product assembly to manufacturing partners and inspectors.
GD&T is a programming language that enables developers and inspectors to optimize functionality without incurring additional costs. The primary advantage of GD&T is that it expresses the design intent rather than the final geometry. However, as with a vector or formula, it is a representation of the actual item.
AR & VR
The two primary transformation aspects in the industry 4.0notion are augmented reality (AR) and virtual reality (VR). AR technology in manufacturing enables firms to operate more efficiently by reducing production time. Additionally, it discovers and resolves manufacturing process difficulties.
Virtual reality technology benefits the industrial business in a variety of ways. It enables product designers to mimic their prototypes or models using powerful virtual reality software. This enables them to correct faults at the first stage of production and minimize production time and cost. Additionally, the technology provides additional benefits, such as increased workplace productivity and safety.
Enterprise Resource Planning (ERP) refers to a comprehensive end-to-end software solution that is used across sectors. It assists the manufacturing business in successfully maintaining production processes and other operational data by avoiding numerous roadblocks along the way. ERP technology enables enterprises to improve process efficiency and product quality by tackling industry-specific difficulties such as insufficient data, operation integration, inventory control, supply chain management, and on-time delivery.
Discover How John Deere Manufactured Their Tractors Using Cutting-edge Technologies
John Deere is a significant firm that embraces innovation and the Internet of Things. The company integrates Internet of Things sensors, wireless communication, and intelligent land management systems. It further integrates IoT tools into its manufacturing process, bridging the gap between technologies. Additionally, the company is a pioneer in GPS technology. Its most modern technology, which it incorporates into tractors, is accurate to within two centimeters. Additionally, the organization has implemented telemetry technology for predictive maintenance.
Manufacturing innovations are assisting manufacturers in modernizing their traditional manufacturing processes. Modern manufacturing is equipped with modern technologies that aim to improve the processes and goods, increasing the manufacturers' commercial revenues. So, to remain competitive in this age of technological innovation, manufacturers must update their manufacturing processes to remain relevant in today's manufacturing world.
What is manufacturing innovation?
Manufacturing innovation includes new technology, supply chain modifications, and product and process improvements. As a result, businesses can benefit significantly from innovation and typically surpass their competitors.
Which technologies are considered to be a component of advanced manufacturing?
3–D printing, robotics, IoT, nanotechnology, cloud computing, robotics, and big data are the significant components of advanced manufacturing.
How are cutting-edge technologies assisting the manufacturing sector?
The cutting-edge technology can precisely estimate demand to set production objectives, analyze machine data to predict when parts will break before a human operator can detect, and more.
"name": "What is manufacturing innovation?",
"text": "Manufacturing innovation includes new technology, supply chain modifications, and product and process improvements. As a result, businesses can benefit significantly from innovation and typically surpass their competitors."
"name": "Which technologies are considered to be a component of advanced manufacturing?",
"text": "3–D printing, robotics, IoT, nanotechnology, cloud computing, robotics, and big data are the significant components of advanced manufacturing."
"name": "How are cutting-edge technologies assisting the manufacturing sector?",
"text": "The cutting-edge technology can precisely estimate demand to set production objectives, analyze machine data to predict when parts will break before a human operator can detect, and more."
Article | April 1, 2021
April 12 -15 ProMatDX, the largest material handling event, will take place virtually. It will feature dozens of AGV vendors. Sadly, some of these highly innovating products still need to be plugged-in to capture power. No more.
Wiferion in process charging eliminates the plug-in charging making AGVs truly autonomous. In process charging eliminates the waste of AGV downtime – the fleet is always working AND charging. In process charging is safe ensuring the OSHA, ergonomics, and danger to workers significantly reduced. In process charging is cost-efficient because full vehicle deployment means a reduced fleet count ensuring a rapid ROI.
For OEMs of AGVs and industrial trucks implementing inductive charging technology solves the wear and tear issues caused by conventional charging methods as well as making vehicles fully autonomous. For end-users of AGVs and industrial trucks, inductive charging in combination with lithium batteries can improve fleet availability by more than 30%.
Whether driverless transport systems (AGVs), electric forklifts, or mobile robots (AMRs), the efficient use of industrial trucks is a decisive factor for competitiveness during ever- increasing cost pressures. The energy systems are being scrutinized and lithium-ion batteries are the preferred technology. The advantages versus lead-acid batteries (including the ability to recharge faster and more often) are obvious. Until now the full potential of storage technology has not been fully realized.
Article | September 22, 2021
Marketing for manufacturing companies hasn't always been easy. Because of the rising volatility in the economy, trade shows and face-to-face sales meetings have changed their manufacturing purchasing patterns.
On the other hand, buyers are seeking for more convincing market reasons to buy your product. This means your manufacturing marketing strategy needs to evolve to answer each of these questions from the buyer angle in order to convince them in choosing your products over other competitor products.
Manufacturers must do more than simply focus on product awareness to attract new buyers. Instead, they must concentrate on the content and intent of promotional activities that will reach target buyers through manufacturing advertising. The promotional message has always been the critical factor to be delivered at the right time and place.
To hit the rock at the right spot, you must first understand the buyer's expectations in the manufacturing industry. So, let's get started.
Buyers' Expectations from the Manufacturer
Faster production cycles, higher-quality components and products, and affordable pricing are all expectations among manufacturing buyers. Therefore, marketing professionals in the manufacturing domain must consider these factors while developing a digital marketing strategy to outwit other competitors in the industry.
What Is the Importance of Digital Marketing for Industrial Products?
Going digital is the necessity of time. For example, almost 94 percent of B2B buyers conduct online research before making a purchase. Similarly, after using the correct digital marketing techniques for their industrial products, 82 percent of manufacturing enterprises increased their yearly sales within a year.
This one-on-one discussion with one of the manufacturing industry's top leaders will give you a better understanding of manufacturing marketing's relevance.
Marketing is VERY important to any company, although I generally see it being justified by the number of web hits or ‘leads’ that come in. - John Hayes, Director of Sales at BALYO
So, small and medium-sized manufacturers (SMMs) must recognize that utilizing digital platforms is the most significant way of marketing for manufacturing companies.Effective digital marketing campaigns demand sound investment and planning.
Hence, to stand out in this digital game, SMMs must review their digital marketing strategies to improve website traffic and conviction in their product on multiple digital platforms.
To do so, look at the five checklists points at the top of the digital marketing trends for manufacturers.
Five Priorities for Your Digital Manufacturing Marketing Plan
Leading manufacturers are all getting good ROI for their industry digital marketing strategy. Let’s check out how are they doing it?
Recognize the Buyer's Persona
In the context of the increasing instability of the industrial ecosystem, manufacturers must better understand their target groups to develop product marketing strategies tailored to their needs.
The potential buyer's digital activities also help understand the target buyer's persona through their digital activities on various digital platforms. For example, some customers prefer textual content to learn about a product, while others prefer to watch a video that explains everything in detail.
So, as per the target buyer's demand, manufacturers can modify their product marketing content. It will also help you create an effective digital marketing strategy for your manufacturing company.
Interact Effectively with Important Constituents
To be visible in the eyes of your buyer, you must communicate with them frequently and effectively. In every industry, technology has altered the meaning of buyer communication. So, here are some of the most popular ways that all industry leaders are using to exchange information with their potential buyers. This strategy will also help you establish a positive rapport with potential buyers and stay in touch with them.
Start a Newsletter: Prepare some research and conversion phase content, solution-oriented blogs, interviews, or success stories, as applicable for your company's profile. In this strategy, you must always be consistent and distinct.
Create an Email Campaign: Use emails to build a more personal connection with your potential buyers. Create a buyer persona based on the interests of your target audience and segment them properly when crafting your emails. This practice will help your recipients feel recognized and involved.
Use Social Media Networks to Your Advantage: Each of your buyer personas uses social media as a primary source of information. Use this platform to your advantage by developing specific techniques for staying top-of-mind among your target audience.
Make the Website Content Appealing to Potential Buyers
Manufacturing digital marketing content serves as a thread to draw your target buyers to your website. When the target buyer visits your website, the website content will play a critical role. As a result, every manufacturing company must have the concise, engaging, and appealing website content. Make sure that your website contains everything you require to connect with your target buyer persona.
So, how do you know if your website's content is on track? Check out the list below for some key points that should be available on your website to make visitors feel valuable about your company.
Key-informative content: This type of content should assist buyers in expanding their existing knowledge of your company, product, or services. It must include your brand’s story, services, product catalogs and brochures, FAQs, and solution-focused blogs.
Trust-building content: This type of content encourages anxious buyers to trust your product or service, which may be entirely new for them. It includes previous buyer product reviews, client references, testimonials, buyer success stories, expert opinions, and business awards if any.
User-friendly content: This is the most Crucial aspect of your website's content. As covered in the buyer persona section, buyers have diverse interests in consuming information. Some prefer to read text, some prefer to watch videos, and others prefer to consume information through CAD drawings, diagrams, or infographics. As a result, ensure that your website contains various forms of content so that each visitor is comfortable consuming what you are serving them about your product.
SEO-optimized content: Ensure that your website contains your target buyers' keywords when searching for products. Creating SEO-friendly website content allows you to rank higher in Google searches and makes it easier for readers to find you.
Use Marketing Automation Platform
Because of the growing use of marketing automation tools, even the smallest manufacturers can now benefit from them. They're the easiest and most cost-effective way to gauge the success of your digital marketing efforts. So what benefits have you reaped from using the marketing automation software?
Helps you keep track of your prospects' locations
Assists you in obtaining the lead score, which tells you who your best leads are and where they originate
Keep track of the conversions throughout the buying cycle with this tool
As a result, the marketing automation technology helps you evaluate the return on your investment in numerous ways.
Do a Competitor Analysis
Analyzing your competitor's marketing strategies will help you develop sound business tactics for your next move. Competitor analysis aids you in understanding the market's demands and new prospects that you may have ignored previously. This strategic approach also aids in your understanding of where you stand in the market and what you need to come up with to stay ahead of competitors.
Every buyer's attention isn't only focused on making a purchase. They also want a simple and pleasing purchase experience. Providing a delightful buying experience encourages customers to return to you for future purchases of the same or different products you have introduced. As a result, each of the checklists above plays a vital role in your potential customer's buying process and contributes to organic buyer growth.
What is digital manufacturing?
Digital manufacturing is the simultaneous creation of product and manufacturing process descriptions using an integrated computer-based system that involves simulation, 3D visualizations, analytics, and collaborative tools.
How can manufacturers market their products?
Promote your product by using various content types, including blogs, press releases, infographics, and videos. Consider event sponsorships as a way to reach a particular demographic with your brand's message. Distribute complimentary product samples to potential customers to secure bulk purchases.
What is the most effective way to market a manufacturing firm?
For your target groups, write and publish richer, solution-oriented content. To make your company more known to the general public, take virtual tours of your facility and create product videos to give people a better understanding of your product and company.
"name": "What is digital manufacturing?",
"text": "Digital manufacturing is the simultaneous creation of product and manufacturing process descriptions using an integrated computer-based system that involves simulation, 3D visualizations, analytics, and collaborative tools."
"name": "How can manufacturers market their products?",
"text": "Promote your product by using various content types, including blogs, press releases, infographics, and videos. Consider event sponsorships as a way to reach a particular demographic with your brand's message. Distribute complimentary product samples to potential customers to secure bulk purchases."
"name": "What is the most effective way to market a manufacturing firm?",
"text": "For your target groups, write and publish richer, solution-oriented content. To make your company more known to the general public, take virtual tours of your facility and create product videos to give people a better understanding of your product and company."
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."