Article | January 20, 2022
A smart factory that leverages Industry 4.0 concepts to elevate its operations has long been a model for other industries that are still figuring out how to travel the digital manufacturing route. Smart manufacturing technology is all you need to know if you're looking to cash in on this trend.
“Industry 4.0 is not really a revolution. It’s more of an evolution.”
– Christian Kubis
In this article, we'll look at the advantages that many smart factory pioneers are getting from their smart factories. In addition, we will look at the top smart factory examples and understand how they applied the Industry 4.0 idea and excelled in their smart manufacturing adoption.
Industry 4.0 Technology Benefits
Manufacturing Industry 4.0 has several benefits that can alter the operations of manufacturers. Beyond optimization and automation, smart manufacturing Industry 4.0 aims to uncover new business prospects and models by increasing the efficiency, speed, and customer focus of manufacturing and associated industries.
Key benefits of Manufacturing Industry 4.0 in production include:
Improved productivity and efficiency
Increased collaboration and knowledge sharing
Better agility and adaptability
Improved customer experience
Reduced costs and increased profitability
Creates opportunities for innovation
World Smart Factory Case Studies and Lessons to Be Learned
Schneider Electric, France SAS
Schneider Electric's le Vaudreuil plant is a prime example of a smart factory Industry 4.0, having been regarded as one of the most modern manufacturing facilities in the world, utilizing Fourth Industrial Revolution technologies on a large scale. The factory has included cutting-edge digital technology, such as the EcoStruxureTM Augmented Operator Advisor, which enables operators to use augmented reality to accelerate operation and maintenance, resulting in a 2–7% increase in productivity. EcoStruxureTM Resource Advisor's initial deployment saves up to 30% on energy and contributes to long-term improvement.
Johnson & Johnson DePuy Synthes, Ireland
DePuy Synthes' medical device manufacturing plant, which started in 1997, just underwent a multimillion-dollar makeover to better integrate digitalization and Industry 4.0 smart manufacturing. Johnson & Johnson made a big investment in the Internet of Things. By linking equipment, the factory used IoT technology to create digital representations of physical assets (referred to as “digital twins”). These digital twins resulted in sophisticated machine insights. As a result of these insights, the company was able to reduce operating expenditures while simultaneously reducing machine downtime.
Bosch's Wuxi factory's digital transformation uses IIoT and big data. The company integrates its systems to keep track of the whole production process at its facilities. Embedding sensors in production machinery collects data on machine status and cycle time. When data is collected, complicated data analytics tools analyze it in real-time and alert workers to production bottlenecks. This strategy helps forecast equipment failures and allows the organization to arrange maintenance ahead of time. As a consequence, the manufacturer's equipment may run for longer.
The Tesla Gigafactory, Germany
According to Tesla, the Berlin Gigafactory is the world's most advanced high-volume electric vehicle production plant. On a 300-hectare facility in Grünheide, it produces batteries, powertrains, and cars, starting with the Model Y and Model 3. For Tesla, the goal is not merely to make a smart car, but also to construct a smart factory. The plant's photographs reveal an Industry 4.0 smart factory with solar panels on the roof, resulting in a more sustainable production method. On its official website, Tesla claimed to use cutting-edge casting methods and a highly efficient body shop to improve car safety. Tesla's relentless pursuit of manufacturing efficiency has allowed them to revolutionize the car industry.
The SmartFactoryKL was established to pave the way for the future's "intelligent factory." It is the world's first manufacturer-independent Industry 4.0 production facility, demonstrating the value of high-quality, flexible manufacturing and the effectiveness with which it can be deployed. The last four years, SmartFactoryKL has been guided by particular strategic objectives that drive innovation; the aim is to see artificial intelligence integrated into production. Two instances of AI-driven transformations include an "order-to-make' mass customization platform and a remote AI-enabled, intelligent service cloud platform that anticipates maintenance needs before they occur.
Enabling smart manufacturing means using the latest technology to improve processes and products. The aforementioned smart factory examples are industry leaders and are thriving by implementing Industry 4.0 technology. Small and medium-sized enterprises (SMEs) may use these smart factory examples to learn about the adoption process, challenges, and solutions. Industry 4.0 is aimed at improving enterprises and minimizing human effort in general. So adopt the smart factory concept and be productive.
What is the difference between a smart factory and a digital factory?
The digital factory enables the planning of factories using virtual reality and models, whereas the smart factory enables the operation and optimization of factories in real time.
Where does Industry 4.0 come from?
The term "Industry 4.0" was coined in Germany to represent data-driven, AI-powered, networked "smart factories" as the fourth industrial revolution's forerunner.
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.
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.
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.
Article | December 8, 2021
The new manufacturing industry outlook for 2022 is what businesses desire. Due to COVID-19, the sector has seen several ups and downs in recent years. But the industry overcame the most difficult situation by adopting innovations as their working hands.
But all this upgrading and digitalization in manufacturing isn't for everyone. Some manufacturers may struggle with this change, while others may not. So, taking into account all industry segments, we have compiled a list of potential manufacturing challenges for 2022.
“Many companies simply are not willing to change or think they are done once they make a change. But the truth is that technology, consumer demands; the way we work, human needs and much more are constantly changing.”
– Michael Walton, Director, Industry Executive (Manufacturing) at Microsoft
The summary of manufacturing industry challenges and industry outlook for 2022 are presented in the stats below.
According to the National Association of Manufacturers (NAM), four million manufacturing jobs will likely be needed over the next decade, and 2.1 million will likely go unfulfilled unless we motivate more people to pursue modern manufacturing occupations.
According to PTC, 70% of companies have or are working on a digital transformation plan.
According to Adobe, 60% of marketers feel technology has increased competitiveness.
The statistics show that while digitalization facilitates the process, it also poses several challenges that must be addressed in the coming years. Let's explore what obstacles manufacturers may face in 2022.
The Manufacturing Industry Challenges in 2022
The manufacturing business has had a difficult few years as a result of the current economic downturn, and 2022 may not be even that smooth. Thought, technology, and current trends make the operations of upscale manufacturers easier, but not everyone is on the same page.
Let's look at some of the manufacturing challenges that businesses will face in the next year.
Skilled Labor Shortage
The manufacturing industry is facing a workforce shortfall as a skilled generation prepares to retire. Industry experts say that by 2025, there will be between 2 and 3.5 million unfilled manufacturing jobs. As a result of the advancement of new technologies, manufacturing organisations are finding themselves with fewer personnel. They do, however, require individuals with a diverse range of abilities, such as mathematicians and analytic thinkers, to accomplish the tasks with precision.
Specific manufacturing tasks have been automated to save time and money. Industry has adopted machine sensors to capture large amounts of data. With this kind of innovation, the industry's job structure is changing and the desire to hire an untrained or trainable workforce is slowly fading in the industry. However, using augmented reality and virtual reality, manufacturers can easily train personnel for the job and save money.
Lack of Ability to Mine Data
Manufacturing is progressively using IoT. The majority of businesses have already installed or are planning to install Internet of Things machines. These smart machines let businesses collect data to improve production and conduct predictive maintenance. But getting data is a simple task. The difficult aspect is analyzing and aggregating data.
Despite possessing the machines, most companies lack the systems to analyze and retrieve the data recorded by the systems. In this way, the industries are missing a vital opportunity. The industry must improve data mining capabilities to make better decisions in real-time.
Using IoT for analytics and predictive maintenance is critical. Monitoring technologies can help the sector examine data quickly. It can also help predict an asset's maintenance period. As a result, the industry will move from replacement to predict and fix.
Self-service Web Portals That Is Extremely Detailed and Precise
Manufacturing businesses usually strive for on-time order delivery and optimum revenue. However, consumer self-service, which has been in the industry for a long time, has never proven to be a simple walk for clients. Clients are frequently required to pick up the phone and contact manufacturers in order to track their orders and receive delivery estimates. This is hardly the service one would expect from a manufacturer, even more so in today's digital era.
The term customers in manufacturing include partners, end-users, and subcontractors. These three clients have distinct requirements and concerns about collaborating with the manufacturer. Companies can better serve their customers if their partner and end-customer portals are linked to a central hub which we can mention as self-service web portals.
All of the information and updates they need about their orders will be available to them through this new system. They can track, accept and amend their tasks. They'll also use the self–service portal to contact the manufacturer.
In this way, manufacturers can better serve their customers. A system like this will ensure that all parties have access to timely information in a digital format.
Meeting the Deadline for the Project
Product launch timelines are extremely demanding, tight, and stringent. Every project in the assembly line is about cost, time, and quality. Ultimately, these projects are rigorous and well-controlled. Manufacturers who fail to meet deadlines risk losing millions in potential revenues and sales.
Due to rigidity and stringent control, companies are less able to change project scopes or make adjustments as projects develop. The majority of initiatives begin with a design commitment. As new facts or change criteria emerge, adjustment flexibility decreases. This can be aggravating for a team that expects high-quality results. Deadlines are always a constraint.
Effective Business Digital Marketing Strategy
An industry's key digital transformation challenges are driving leads, sales, and MRR through digital channels. Many manufacturing organizations struggle to efficiently use marketing channels like paid media, enterprise SEO, local SEO, content strategy, and social media. In our opinion, one of the most significant issues these organizations have is their digital experience, website design, and overall brand presentation. They can't ignore them if they want to keep enjoying the manufacturing revival.
Visibility of the Supply Chain
Manufacturers must respond to the growing demand from customers for greater transparency. In order to meet customer demand across the customer experience and product lifecycle, they must first understand that precise and real-time visibility throughout the supply chain is essential.
All details must be taken into consideration by the manufacturers. They must be aware of any delays in the arrival of products on the market. Keeping abreast of such developments would give them a leg up in terms of adjusting or rectifying the situation.
Manufacturing industry challenges have long been a part of the industry. However, industry leaders and professionals have always confronted and overcome any challenges that have come their way. The year 2022 will also be a year of achievements, setting new records, and growth for the manufacturing industry, since it will be a year in which it will develop solutions to all of the aforementioned challenges.
What is the future of manufacturing?
Manufacturers should start using AI, block chains, and robotics today. The combination of these new technologies will reshape manufacturing. A new workforce capable of augmenting these technologies is developing and will become the future of manufacturing.
How will automation affect manufacturing in 2022?
When applied properly, automation can greatly assist manufacturing. These benefits include shorter production times, faster and more efficient work than human labor, and lower production costs.
How is the manufacturing industry’s market likely to upsurge in the future?
According to BCC Research, the global manufacturing and process control market is expected to grow at a CAGR of 6.3 percent from $86.7 billion in 2020 to $117.7 billion in 2025.
"name": "What is the future of manufacturing?",
"text": "Manufacturers should start using AI, block chains, and robotics today. The combination of these new technologies will reshape manufacturing. A new workforce capable of augmenting these technologies is developing and will become the future of manufacturing."
"name": "How will automation affect manufacturing in 2022?",
"text": "When applied properly, automation can greatly assist manufacturing. These benefits include shorter production times, faster and more efficient work than human labor, and lower production costs."
"name": "How is the manufacturing industry’s market likely to upsurge in the future?",
"text": "According to BCC Research, the global manufacturing and process control market is expected to grow at a CAGR of 6.3 percent from $86.7 billion in 2020 to $117.7 billion in 2025."
Article | October 20, 2021
Machine vision is becoming increasingly prevalent in manufacturing daily across industries. The machine vision manufacturing practice provides image-based automated inspection and analysis for various applications, including automatic inspection, process control, and robot guiding, often found in the manufacturing business.
This breakthrough in manufacturing technology enables producers to be more innovative and productive to meet customer expectations and deliver the best products on the market.
A renowned industry leader Mr. Matt Mongonce conveyed in an interview with Media7,
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.
Why is Machine Vision so Critical?
The machine vision manufacturing process is entirely automated, with no human intervention on the shop floor. Thus, in a manufacturing process, machine vision adds significant safety and operational benefits. Additionally, it eliminates human contamination in production operations where cleanliness is critical.
For instance, the healthcare business cannot afford human contamination in some circumstances to ensure the safety of medicines. Second, the chemical business is prohibited from allowing individuals to come into touch with chemicals for the sake of worker safety. Thus, machine vision is vital in these instances, so it is critical to integrate machine vision systems into your production process.
Machine Vision Application Examples
To better understand how businesses are utilizing machine vision in production, we will look at five cases.
Even a few seconds of production line downtime might result in a significant financial loss in the manufacturing industry. Machine vision systems are used in industrial processes to assist manufacturers in predicting flaws or problems in the production line before the system failure. This machine vision capability enables manufacturing processes to avoid breakdowns or failures in the middle of the manufacturing process.
How is FANUC America Corporation Avoiding the Production Line Downtime with ROBOGUIDE and ZDT?
FANUC is a United States-based firm that is a market leader in robotics and ROBOMACHINE technology, with over 25 million units deployed worldwide. In addition, the company's professionals have created two products that are pretty popular in the manufacturing industry: ROBOGUIDE and ZDT (Zero Down Time).
These two standout products assist manufacturers in developing, monitoring, and managing production line automation. As a result, producers can enhance production, improve quality, and maximize profitability while remaining competitive.
Inspection of Packages
To ensure the greatest possible quality of products for their target consumer groups, manufacturers must have a method in place that enables them to inspect each corner of their product. Machine vision improves the manufacturing process and inspects each product in detail using an automated procedure.
This technology has been used in many industries, including healthcare, automation, and electronics. Manufacturers can detect faults, cracks, or any other defect in the product that is not visible to the naked eye using machine vision systems. The machine vision system detects these faults in the products and transmits the information to the computer, notifying the appropriate person during the manufacturing process.
Assembly of Products and Components
The application of machine vision to industrial processes involves component assembly to create a complete product from a collection of small components. Automation, electronics manufacturing, healthcare (medicine and medical equipment manufacturing), and others are the industries that utilize the machine vision system in their manufacturing process. Additionally, the machine vision system aids worker safety during the manufacturing process by enhancing existing safety procedures.
Manufacturers are constantly endeavoring to release products that are devoid of flaws or difficulties. However, manually verifying each product is no longer practicable for anybody involved in the manufacturing process, as production counts have risen dramatically in every manufacturing organization. This is where machine vision systems come into play, performing accurate quality inspections and assisting producers in delivering defect-free items to their target clients.
Earlier in the PCB penalization process, where numerous identical PCBs were made on a single panel, barcodes were used to separate or identify the PCBs manually by humans. This was a time-consuming and error-prone process for the electronics manufacturing industry. This task is subsequently taken over by a machine vision system, in which each circuit is segregated and uniquely identified using a robotics machine or a machine vision system. The high-tech machine vision system "Panel Scan" is one example of a machine vision system that simplifies the PCB tracing procedure.
The use of machine vision in the manufacturing business enables firms to develop more accurate and complete manufacturing processes capable of producing flawless products. Incorporating machine vision into manufacturing becomes a component of advanced manufacturing, which is projected to be the future of manufacturing in 2022. Maintain current production trends and increase your business revenue by offering the highest-quality items using a machine vision system.
What is the difference between computer vision and machine vision?
Traditionally, computer vision has been used to automate image processing, but machine vision is applied to real-world interfaces such as a factory line.
Where does machine vision come into play?
Machine vision is critical in the quality control of any product or manufacturing process. It detects flaws, cracks, or any blemishes in a physical product. Additionally, it can verify the precision and accuracy of any component or part throughout product assembly.
What are the fundamental components of a machine vision system?
A machine vision system's primary components are lighting, a lens, an image sensor, vision processing, and communications.
"name": "What is the difference between computer vision and machine vision?",
"text": "Traditionally, computer vision has been used to automate image processing, but machine vision is applied to real-world interfaces such as a factory line."
"name": "Where does machine vision come into play?",
"text": "Machine vision is critical in the quality control of any product or manufacturing process. It detects flaws, cracks, or any blemishes in a physical product. Additionally, it can verify the precision and accuracy of any component or part throughout product assembly."
"name": "What are the fundamental components of a machine vision system?",
"text": "A machine vision system's primary components are lighting, a lens, an image sensor, vision processing, and communications."