Article | November 1, 2021
Manufacturing processes will undergo significant transformation in 2022 as a result of advanced manufacturing technology. The changing manufacturing industry is full of digitization to improve processes, products, productivity, and business revenue.
Manufacturers must realize the advantages of advanced manufacturing and learn to enhance their production processes to increase their manufacturing plant's productivity. Once you understand the heart of your business and where to integrate technology, you're halfway to success.
The manufacturing industry's top professionals have also recognized the technology shift and are supporting upskilling in the manufacturing business. Mr. Matt Mong has said in his interview with Media7,
“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 Market Innovation and Project Business Evangelist at Adeaca
Importance of Advanced Manufacturing
Adopting innovative manufacturing technologies has several advantages that grow its acceptance and relevance among manufacturers across industries. The following are the most significant advantages of advanced manufacturing.
Amplifying the product and process quality
Improvement in productivity
Encourages new ways to innovation
Decreases production time
Considering the factors above that contribute to the production process becoming more efficient, productive, and revenue-generating, advanced manufacturing will continue to dominate the manufacturing business in 2022.
Top Five Technologies That Are Advancing Manufacturing in 2022
To better understand the current trends in manufacturing technology, let us comprehend the technologies that are advancing the manufacturing industry. Additionally, discover how these technologies help manufacturers to advance their manufacturing processes.
Cloud computing in manufacturing is used for marketing, product development, inventory management, and productivity management. It stores software and commercial data via internet connections. Cloud computing is becoming a prevalent technology because it enables manufacturers to improve communication and manage the entire production cycle effectively.
According to MarketsandMarkets' study, the global cloud computing market will also increase to 832.1 billion dollars by 2025, growing at a 17.5 percent annual rate in the following years.
Benefits of Cloud Computing
Fewer technical issues when compared to traditional software use
Cost savings because no in-house servers are required
Cloud computing enables easy scalability for your developing firm
Cloud computing provides centralized control and access from any device
How did McDonald's use AWS cloud computing services to transform their customer service?
Additive manufacturing enables the fabrication of lighter, more sophisticated designs that would be impossible or prohibitively expensive to fabricate using conventional dies, molds, milling, and machining techniques. Rapid prototyping is another area where additive manufacturing thrives.
As a result, it is gaining a grip in the manufacturing business. According to Statista's market research, the additive manufacturing industry is worth approximately 12.6 billion US dollars in 2020 and is predicted to increase at a compound annual growth rate of 17% until 2023.
Benefits of Additive Manufacturing
Reduces material waste
Simplifies manufacturing processes
Additive manufacturing enables on-demand production
Increases supply chain flexibility
The finished product can be made close to the end customer
Robots are used in manufacturing to automate repetitive tasks, resulting in a more efficient assembly line. Humans and robots work together on a variety of things as well during the production of various products. Many jobs are hazardous or necessitate many supplies, which could be harmful to the human workers themselves. So, in such instances, robots play a significant role in executing manufacturing operations.
Robotics' increasing application in production is transforming it into a necessary component of industrial processes in the future. According to Mordorintelligence's study, the robots industry was worth USD 27.73 billion in 2020 and is predicted to reach USD 74.1 billion by 2026, growing at a CAGR of 17.45 percent between 2021 and 2026.
Benefits of Robotics
Increased productivity when compared to traditional manufacturing
Consistent speed and quality during goods production
Increased workplace safety for all employees at the manufacturing plant
Aids in more efficient use of floor space
Internet of Things
The Internet of Things allows devices to interconnect with one another and exchange data. The IoT connects assets to processes, systems, and people in manufacturing. This enables improved process integration, increased efficiency, and the advancement of manufacturing to the next transformation phase, Industry 4.0.
According to Mordorintelligence's market research, the global IoT market is estimated to reach USD 1,386.06 billion in 2026, up from USD 761.4 billion in 2020, a CAGR of 10.53 percent over the forecast period of 2021 to 2026.
Benefits of Internet of Things
It contributes to increased energy efficiency by identifying and optimizing underperforming devices
It monitors all processes and parameters to determine when to replace specific components
It improves product quality by analyzing and correcting issues at any stage of the manufacturing process
It reduces downtime by detecting and alerting production line personnel to problems
It enables more informed decision-making by unlocking
Virtual reality enables plant managers to mimic manufacturing processes and assembly line layouts to discover potentially harmful scenarios. Additionally, virtual reality can immerse an employee in a future workstation and then capture their movement to assess task feasibility and proficiency. As a result, the usage of virtual reality in manufacturing is increasing daily and is widely seen as the industry's future.
According to market research firm markets and markets, the worldwide virtual reality industry is estimated to rise by USD 20.9 billion by 2025, expanding at a 27.9 percent compound annual growth rate from 2020 to 2025.
Benefits of Virtual Reality
Enables a more thorough examination of the product's design
Enables the gathering of feedback on future items before they are launched in the real world
In recent years, advanced manufacturing technology has helped the manufacturing industry become more efficient, precise, and goal-oriented. As a result, manufacturers are eager to upgrade their current manufacturing facilities to state-of-the-art facilities. As a result, manufacturing companies would become more competitive and an integral industry component if they implement cutting-edge technologies.
How do you define advanced manufacturing?
Product and process improvement through inventive use of new technology is called advanced manufacturing.
Which sectors are utilizing cutting-edge technology?
Aerospace, Medical, Electronics, Transportation, Energy, and Consumer Product Production Companies are the top businesses or sectors that use cutting-edge technologies with sophisticated manufacturing.
What is the difference between conventional manufacturing and advanced manufacturing?
Traditional manufacturing adds value to attain the goal. Traditional manufacturing adds value to attain the goal. But, on the other hand, advanced manufacturing covers production methods in specific industries like aerospace, medical, pharmaceutical, etc.
Article | January 20, 2022
COVID drove many supply chain disruptions in 2021. This was particularly true for companies using Asia to source product. Sadly, the bottleneck continues in 2022, but there are new channels now available to serve the North American material handling market. System integrators, dealers, and distributors in the space cannot work with vendors who offer slow delivery timetables. Customers want shelving, racking, conveyors, and robotics no later than Q3 2022.
MODEX 2022 provides answers to solve the supply chain disruption
MODEX 2022 (March 28-31, 2022) in Atlanta, will once again bring many global manufacturers to the event. Nearly 800 exhibitors and 40,000 attendees will respect COVID health and safety protocols while learning about much needed solutions from a variety of global manufacturers. For the first time there is an African company exhibiting at MODEX: LinkMisr International.
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.
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Article | December 8, 2021
A digital twin is a virtual model of an object or system that comprises its lifecycle. It is updated with real-time data and aids decision-making through simulation, machine learning, and reasoning for the production system.
IoT sensor data from the original object is used to create a digital twin of the system. This cloud-connected data allows engineers to monitor systems and model system dynamics in real-time.
Modifications can be tested on the digital twin before making changes to the original system.
Considering that digital twins are supposed to replicate a product's complete lifecycle and are used throughout the production process, it's not unexpected that digital twins have become prevalent in all stages of manufacturing.
“More than a blueprint or schematic, a digital twin combines a real-time simulation of system dynamics with a set of executive controls,”
– Dr. Daniel Araya, consultant and advisor with a special interest in artificial intelligence, technology policy, and governance
Companies will increasingly embrace digital twins to boost productivity and decrease expenses. As per recent research by Research and Markets, nearly 36% of executives across industries recognize the benefits of digital twinning, with half planning to implement it by 2028.So how does this digital twin technology benefit modern manufacturing? Let's have a look.
How the Digital Twin Drives Smart Manufacturing
Digital twins in manufacturing are used to replicate production systems. Manufacturers can develop virtual representations of real-world products, equipment, processes, or systems using data from sensors connected to machines, tools, and other devices.
In manufacturing, such simulations assist in monitoring and adapting equipment performance in real-time. With machine learning techniques, digital twins can predict future events and anticipate potential difficulties.
For maintenance, digital twins allow for quick detection of any problems. They collect real-time system data, prior failure data, and relevant maintenance data. The technique employs machine learning and artificial intelligence to predict maintenance requirements. Using this data, companies can avoid production downtime.
Digital Twin and Artificial Intelligence (AI) in manufacturing
Using digital twins and AI in production can enhance uptime by predicting potential failures and keeping equipment working smoothly. In addition, there are significant cost savings in the planning and design process as digital twins and AI can be used to replicate a specific scenario.
Maintenance is another area that has seen significant progress with the use of digital twin manufacturing. A Digital Twin powered by AI can predict when a piece of equipment will fail, allowing you to arrange predictive maintenance that is not simply taking information from OEM manuals but can significantly cut maintenance expenses along with reducing downtime.
Using the digital twin, it is feasible to train virtual workers in high-risk functions, similar to how pilots are trained using flight simulators. It also frees up highly skilled workers to upgrade the plant and streamline operations.
General Electric Created the Most Advanced Digital Twin
General Electric Company (GE) is a multinational business based in Boston that was founded in 1892. It has developed the world's most advanced digital twin, which blends analytic models for power plant components that monitor asset health, wear, and performance with KPIs (Key Performance Indicators) determined by the customer and the organization's objectives. The Digital Twin is powered by PredixTM, an industrial platform built to manage huge amounts of data and run analytic algorithms. General Electric Company provides extra "control knobs" or "dimensionality" that can be utilized to improve the operation of the system or asset modeled with GE Digital Twin.
Given the numerous advantages of digital twin manufacturing, the potential for digital twins to be used in manufacturing is virtually endless in the near future. There will be a slew of new advancements in the field of digital twin manufacturing. As a result, digital twins are continually acquiring new skills and capabilities. The ultimate goal of all of these enhancements is to create the insights necessary to improve products and streamline processes in the future.
What is a digital twin in manufacturing?
The digital twins could be used to monitor and enhance a production line or perhaps the whole manufacturing process, from product design to production.
How digital twin benefit manufacturers?
Using digital twins to represent products and manufacturing processes, manufacturers can save assembly, installation, and validation time and costs.
What is a digital thread?
A digital twin is a realistic version of a product or system that replicates a company's equipment, controls, workflows, and systems. The digital thread, on the other hand, records a product's life cycle from creation to dissolution.
"name": "What is a digital twin in manufacturing?",
"text": "The digital twins could be used to monitor and enhance a production line or perhaps the whole manufacturing process, from product design to production."
"name": "How digital twin benefit manufacturers?",
"text": "Using digital twins to represent products and manufacturing processes, manufacturers can save assembly, installation, and validation time and costs."
"name": "What is a digital thread?",
"text": "A digital twin is a realistic version of a product or system that replicates a company's equipment, controls, workflows, and systems. The digital thread, on the other hand, records a product's life cycle from creation to dissolution."