How Manufacturing Processes can be further Augmented with AI
The modern technologies such as Artificial Intelligence (AI), Machine Learning (ML), Deep Learning, the Internet Of Things (IoT), and Cloud technologies, are bringing revolutions in the manufacturing industry.
Do you agree with me on this?
Yes, the manufacturing technologies offer increased productivity and also intelligently empowers the workforce. Manufacturing technologies enabling machinery and tools to perform hassle-free performance independently. The best instance is intelligent robots in the production and warehouse workplaces. They are smart and efficiently perform and ensures tremendous benefits to manufacturers.
Artificial intelligence in manufacturing gives unbelievable benefits. Irrespective of the size of the industry, manufacturing companies are planning to invest in AI technology to automate their workflows.
The use of AI and IoT is popular in the manufacturing processes along with Industry 4.0. Today, neural networks are also used for solving many business issues such as sales forecasting, customer research, data validation, and risk management.
What is Industry 4.0?
Industry 4.0 is the latest digital industrial technology that is developed to bring automation in manufacturing processes. Industry 4.0 completely transforms the production environment.
Industry 4.0 has brought innovations and altered the existing production relationships between the machine and the workforce.
Below are the nine powerful technologies that strengthened this digital industry 4.0.
- Big Data and Analytics
The collection, storage, and processing of vast amounts of data from different sources, production machinery, and enterprise and customer management systems will all play a vital role in making the best decisions that drive the overall productivity.
- Autonomous Robotic
Here is the answer for how robotics has changed manufacturing technology?
Self-assisting or self-directed or autonomous robots offer greater efficiencies in the production line. They will interact with the human workforce and perform repetitive specific tasks faster and efficiently. In addition, the robotic technology simplifies the logistics and supply chain management processes.
Simulations are widely used in plant operations to influence real-time data and to reflect the physical world in a virtual method, including humans, machines, and products. It enables operators to examine and optimize machine settings for other items in the virtual world prior to physical change, thereby increasing quality and reducing machine setup time.
Vertical and Horizontal System Integration
With Industry 4.0, businesses, departments, functions, and abilities become more coherent, as cross-firm, universal information integration networks increase and indeed launch automated value chains.
- The Internet of Things
The IoT-based sensors are very much useful for the manufacturers. The data produced by the sensors that are connected to operating machinery will help to know the system condition and device failures. In addition, the data collected by sensors will also be useful for predictive maintenance.
- Cyber security
As industry 4.0 enables increased connectivity and uses communication protocols to get the production systems inter connected, the need for protecting complex industrial information systems from unexpected threats increases.
Hence, cyber security plays a significant role in maintaining a secure and reliable network across your work premises.
- The Cloud Technology
Just imagine, if you have production units in various s locations, then how you’ll bring a centralized control system of all. It is possible through cloud technology. Centralized cloud solutions help you share data across your work locations.
In addition, cloud technology also enables advanced data-driven services that assist an organization in improving productivity.
- Additive Manufacturing Technologies
For achieving the best results in the end product, most of the manufacturing companies today are using additive manufacturing technologies such as 3D-printing. Along with industry 4.0, the additive manufacturing methods are used to deliver individual components.
Accordingly, augmented reality, simulations, and horizontal and vertical system integration technologies are all form building block of industry 4.0.
If we consider the applications and global acceptance of industry 4.0, it is connected directly to the manufacturing world, that’s why we can call it Manufacturing 4.0! After this innovation, the manufacturing industry is growing and transforming like never before.
AR-based systems support a wide range of services, including parts selection in the warehouse and repair instruction sending through mobile devices,
These augmented reality systems are still in their infancy, but in the future, organizations make extensive use of developed realities to provide real time data to workers to improve working processes and decision making as well.
We move towards which companies are using AI in their manufacturing processes in the era of Industry 4.0.
Best Firms That Use Artificial Intelligence to Augment Manufacturing in The Era of Industry 4.0
Location: Chicago, Illinois, United States
How it uses Artificial Intelligence in manufacturing?
Uptake is engaged in the design and development of enterprise AI software for diversified industries. Manufacturing is also one of the primary industries.
The company aims to innovate new things by using the power of next-level AI technology in manufacturing. Smart manufacturing using advanced AI technology helped UPTAKE to optimize production results.
In addition, AI is the best and new computer science technology in manufacturing that integrates processes, machines, and data delivered by sensor equipment to enhance the overall process. Hence, Artificial intelligence technology in manufacturing optimizes operations and drives high productivity.
USM is pioneered in providing AI-driven manufacturing solutions. We offer a range of AI-powered manufacturing services that improve manufacturing outcomes and ensures increased sales. Gain profits by deploying the latest and emerging AI technology in the manufacturing industry.
Recommend: Top 10 Use cases of Artificial intelligence in Manufacturing
#2 VEO ROBOTICS
Location: Waltham, Massachusetts, United States
How it’s using artificial intelligence technology in manufacturing?
We all aware of how has robotics changed the manufacturing industry. From raw material alignment and processing to warehouse operations, robots are playing a crucial role in the manufacturing industry.
Veo Robotics specialized in integrating 3D sensing, computer vision, and AI to deliver efficient manufacturing robots for companies. Its AI-based manufacturing processes helps its clients benefit from the most advanced AI manufacturing robots.
USM’s AI-powered equipment maintenance, warehouse management, and supply-chain management solutions would improve your business performance.
Location: Austin, Texas, United States
Mythic designs and develops the Intelligent Processing Units (IPUs) for a wide range of industrial devices. The company is developing IPUs that support AI robots and drones to better communicate and respond to real-time situations faster.
#4 SIGHT MACHINE
Location: San Francisco, California, United States
It developed an analytics platform for manufacturers. Sight Machine’s AI-powered analytics platform helps manufacturers to get valuable insights into their product manufacturing processes and improve entire business operations.
Currently, Google, GE, Nissan, and Nike are using powerful AI driven analytics platforms to improve their manufacturing procedures.
If you have plans to implement such advanced analytics solutions, USM is the right partner for you. We develop integrated AI analytics solutions that scale up your manufacturing processes.
We have the most advanced predictive analytics based AI solution that offers up to 60% of productivity.
#5 AUTOMATION ANYWHERE
Location: San Jose, California
It is one of the biggest AI companies in California, United States. It builds Robotic Process Automation (RPA) platforms for various industries. In particular, manufacturing companies are using AI-enabled RPA platforms to automate the procurement, get insights, and manage and monitor the manufacturing processes efficiently.
USM’s intelligent AI use cases for manufacturing industry
#6 INVISIBLE AI
Location: San Francisco, California, United States
Invisible AI’s intelligent AI-platform provides better visibility into their manufacturing processes. Using cameras it allows manufacturers to monitor all operational areas frequently.
Later, an AI-powered system analyzes the footages and sends notifications to floor admins to enhance workforce productivity, safety, and productivity.
Location: New York
SparkBeyond is an AI-enabled research engine that detects patterns in complex datasets.
It helps manufacturers get deep insights into the data for making revenue generating business decisions.
Location: San Francisco, California, United States
How it used intelligent AI technology for manufacturer?
Oqton has developed a cloud-based and an AI-enabled open factory operating system that associates and enhances digital manufacturing procedures. The platform integrates generative design needs with hardware potentials. Hence, it provides production guidelines and combinations of different machines to improve productivity
USM has a similar AI-enabled solution. Let’s talk.
#9 FERO LABS
Location: New York
Using the power of AI and machine learning, Fero Labs’ intelligent AI app in manufacturing detects elements that are hampering the production volume. It also forecasts the device maintenance issues as well as boost energy usage.
If you are looking for a similar AI-enabled equipment maintenance mobility solution, USM makes this done for you. We help our clients in managing manufacturing equipment through a single mobile app. Let’s talk to our experts to know how?
Recommend: Is Machine Learning Adapt The Manufacturing Industry?
#10 LANDING AI
Location: Palo Alto, California
It developed customized AI-platforms to solve desired needs of the manufacturing processes. This AI-powered software gathers data, creates project goals, and performs predictive models to sustain better production levels.
If you want to build your name and establish yourself in this digitized manufacturing industry, contact USM today!
Now, let us have a brief section on what are the trends of AI technology in manufacturing?
Latest trends of manufacturing industry using AI technology 2021
A manufacturing company is said to be effective if it has a modest advantage over its rivals. The impact of artificial intelligence technology in manufacturing will go beyond our expectations. Moreover, using the power of computer visualization and IOT, AI impacts the manufacturing industry in multiple ways.
We did extensive research to let you know a few of the major trends of AI in manufacturing. The top trends that shape the future of manufacturing in 2021. Let’s have a look at the below session.
- Deployment of user-friendly and easy to use robotics solutions to perform diversified functions
- AI along with IOT for streamlining and developing high-quality products
- Adoption of Industry 4.0 to sustain from the competitive edge of the advanced manufacturing market.
- Demand for Asset tracking, supply-chain visibility solutions for ensuring high-level asset protection and safety
- Usage of predictive maintenance systems to cut operational and maintenance costs by 20-50%
- The manufacturing hardware segment will be anticipated to observe the highest growth
- AI in the manufacturing market to witness 36% of industry profits
USM Business Systems is moving towards delivering innovative and next-generation AI-based mobility solutions to create a manufacturing industry smarter. From design and development to production and distribution, USM builds an AI strategy for your smooth digital journey.
“Use artificial intelligence to reap the benefits from the smart manufacturing factory “
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An interesting post about Industry 4.0. I would like to suggest some of the most famous and most used robots in Industry 4.0 and their working principle. You can look here: https://devicebase.net/en/industry-4.0/robotics
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