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."
Article | November 12, 2021
Robotics industry growth has accelerated rapidly across several industries. It has aided manufacturers in overcoming numerous barriers related to real-time communication, workplace safety, and overall manufacturing cost and timeliness. However, if we trace its history back to 1961 when George Charles Devol introduced the first robot, dubbed 'UNIMATE,' it has exponentially grown and utilized across sectors to make operations more effortless, precise, and faster.
“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.
However, the industry has seen snags or difficult times due to market fluctuations, unfavorable situations, and the need to remain competitive in the drive for expansion. To thoroughly understand the robotics industry, let us examine each component that surrounds it.
Industrial Robotics Global Market Size
According to recent Allied Market Research studies, the global industrial robotics market was worth $37,875 million in 2016 and is expected to reach $70,715 million by 2023, rising at a 9.4% compound annual growth from 2017 to 2023.
Industrial Robotics Market Analysis
The global industrial robotics market is primarily driven by a global increase in labor costs, which has compelled firms to replace human labor with robots. As a result, Asia and Europe are the world's fastest-growing areas, with top companies such as ABB, Fanuc, KUKA, Kawasaki, and Yaskawa Electric Corporation headquartered in the region.
The global market of robotics has been segmented by its type, industry, and function.
Soldering and Welding
Electrical & Electronics
Healthcare & Medicine
Assembling & Disassembling
Rubber & Plastics
Painting and Dispensing
Others if any
Machinery & Metals
Cutting and Processing
Food & Beverages
Precision & Optics
Others if any
Others if any
Industries That Are Pioneering the Use of Robotics
As we have observed, the global robotic market will continue to rise in the future years. Therefore, let us examine which industries will extend their use of robotics in their operations.
Healthcare & Medicine
Medical robots help surgeons optimize hospital logistics and free up the working staff to focus on patients. In the healthcare field, robots are revolutionizing surgery by speeding supply delivery and disinfection and freeing up time for doctors to interact with their patients.
da Vinci System – A General Surgical Robot
The da Vinci System is a surgical robot that focuses on a wide range of urological, bariatric, and gynecological surgical treatments. In addition, Stryker's MAKO System also specializes in orthopedic surgery, specifically partial and total knee replacements.
The da Vinci SP system is cleared for use in the United States exclusively for single-port urological procedures, lateral oropharyngectomy (often referred to as radical tonsillectomy), and tongue base excision.
Police robots are meant to gain access to areas inaccessible or dangerous to first responders, and they are capable of manipulating items and gathering data using several technologies. It encompasses robots capable of operating in various conditions and displaying a range of data and communication capabilities.
Agriculture & Food Industry
Farm equipment is now routinely equipped with sensors that utilize machine learning and robotics to identify weeds, compute the appropriate quantity of herbicide to spray, or learn to detect and pick strawberries, for instance.
Additionally, in the food business, robotics has been used to do repetitive tasks such as picking and placing food items and cutting and slicing food items during any given food item. For instance, the modern bakery business uses robotics to perform traditional craft skills and produce any product in large quantities while maintaining high quality and hygiene standards.
The transportation sector is highly leveraging robotics. The powerful transport capability, advanced control technology, and sensing precision are some of the benefits that make the transportation robots widely utilized in this sector. These benefits from robotics help the sector convey various commodities in factories, restaurants, and medical institutions, among other locations.
Robots are employed in manufacturing to do repeated jobs and streamline the overall assembly process. Additionally, robots and humans can also collaborate on product making. Robots can replace humans for hazardous tasks or processes that need large quantities of materials, which might be hazardous for a human employee to handle.
Factors Sustaining the Growth of the Robotics Industry
Reduces Manufacturing Costs: Robotics application in all industries reduces the overall manufacturing process running costs.
Improves Product Quality: The precision of robotics throughout the manufacturing process helps produce high-quality items that meet target client needs.
Offers Competitive Market: Increased income due to utilizing the benefits of robotics applications makes any industry more competitive.
Speed-ups Production Time: Robotics speeds up production and helps manufacturers increase output.
Offers Task or Process Flexibility: Robotics can weld, cast, mold, assemble, machine, transfer, inspect, load, and unload items, among other duties. So, it gives the manufacturer process flexibility.
Reduces Excessive Use and Waste of Production Materials: Robotics employs the exact quantity of material required for the manufactured product, reducing waste and overuse of materials.
Offers a Safe Working Place: Robotics improves employee health and safety by performing tasks that humans find risky. For example, in the chemical industry, a human employee may not do a hazardous task. In such instances, robots can replace people.
The rise of the robotics industry has accelerated dramatically, and it is now spreading its wings across industries. Research firm IDC provided a projection for the commercial robot market, forecasting that the market will exceed $53 billion by 2022, with a compound annual growth rate of more than 20%. In addition, several advantages of robotics such as safety, productivity, uniformity, and perfection are pushing its expansion and making it an essential element of industry 4.0.
Why are robots the future of the manufacturing industry?
The use of robots in manufacturing has improved process efficiency and product quality. As a result, robots are gaining favor in production and becoming the future of manufacturing.
Which industries make the most use of robotics?
Healthcare, agriculture, food, and manufacturing are the industries that are embracing robotics to get the most out of it.
How is manufacturing utilizing robotics?
Manufacturing uses robotics for repetitive tasks. This helps in the reduction of errors and human efforts. It also improves production efficiency.
"name": "Why are robots the future of the manufacturing industry?",
"text": "The use of robots in manufacturing has improved process efficiency and product quality. As a result, robots are gaining favor in production and becoming the future of manufacturing."
"name": "Which industries make the most use of robotics?",
"text": "Healthcare, agriculture, food, and manufacturing are the industries that are embracing robotics to get the most out of it."
"name": "How is manufacturing utilizing robotics?",
"text": "Manufacturing uses robotics for repetitive tasks. This helps in the reduction of errors and human efforts. It also improves production efficiency."
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 | May 20, 2021
The transformation of raw materials through mechanical, physical, or chemical processes into a new product is the definition of manufacturing in the U.S. These businesses include plants, mills, factories, and warehouses and they rely on power-driven equipment to produce their products.
Small businesses and home-based businesses are included in the scope of U.S. manufacturing - this includes sectors like tailor-made clothing, bakeries, candy stores, or toy/crafts creators. Additionally, companies that contract with the businesses in these industries are included in the sector of American manufacturing. It is worth noting: U.S. manufacturing does not include anything relating to housing or commercial construction.