Smart Factory digital technologies such as Artificial Intelligence (AI), Machine Learning (ML), and predictive analytics enabling manufacturers to increase productivity. Also, smart technologies also empowers employees to perform smart operation!
According to the research report of Tractica, The companies of manufacturing are now adopting AI technology in their environments at a moderate, yet steady pace. The worldwide annual manufacturing Industry investment in AI services, hardware and software services is projected to rise from 2.9 US billion dollars in 2018 to 13.2 US billion dollars by the year 2025, according to Market Intelligence. Increasing the use of AI in manufacturing sector will lead to cost reduction in production processes and increment in operational efficiency.
On the other side, Artificial intelligence in manufacturing market is predicted to develop from 1.0 billion US billion dollars in the year 2018 to 17.2 US billion dollars by 2025, at a compound annual growth rate (CAGR) of 49.5% over the estimate time frame. The enormous accessibility of big data technology and the growth of venture capital investments are the main factors that are fueling the development of AI in the market of this industry.
In this blog, we captured a few best use cases of artificial intelligence in manufacturing. Let’s have a look into the below sessions.
Top 10 uses cases of AI in manufacturing industry
#1 Quality Checks
Some internal defects in manufacturing equipment’s cannot be found that much easily with eyes. Even experience professionals were also some time unable to detect the flaws in products. Thanks to artificial intelligence and machine learning technologies. The can detect smallest flaws in machinery.
Using intelligent algorithms, smart machines can continuously monitors the productivity of machinery and spots failures, if any. AI-powered inspection tools offers fully automated flaw detection processes. The intelligent device flaw detection tools in manufacturing monitors the equipment performance and its quality. Microscopic faults will also be identified using AI tools in manufacturing.
Hence, AI-enabled systems identifies product defects, marks them all, and sends alerts to human experts.
#2 Predicts Equipment Failure
Manufacturers face challenges with machinery/products failures in many ways. A product might look perfect from outside, but it may damage once we use it. Yes, it happens to machinery, and also leads huge loses to manufacturers.
With the availability of vast data on how the products are tested and how they function, artificial intelligence-based tools and machines identifies the specific areas that need to be tested efficiently.
#3 Equipment Predictive Maintenance
Predictive maintenance of devices allows manufacturer to avoid device damage overheads. Using ML-powered predictive analytical solutions, you can predict when machineries require maintenance services. Machine Learning is one of the outmost technology that can prevent unplanned downtime.
Not only analytics solutions, cloud and the Internet-of-Things (IoT) sensors are also playing a vital role in modernizing manufacturing industry. They embedded in machinery to better predict the maintenance and thus overcomes equipment issues that has to be occur in the future.
Many manufacturing companies are reaping the benefits of artificial intelligence. LG, Roland Busch, and Siemens etc.
USM’s AI-enabled manufacturing solutions bring automation across your manufacturing processes. Our AI services and applications for manufacturing helps to achieve smart manufacturing operations.
Our technical team understand the depth in the client request. We delivered an AI-powered mobility solution to improve the systems and processes in the manufacturing industry. Our AI solution helped our client in providing the internal condition of the equipment.
#4 Digital Twins
AI helps to completely virtualize the infrastructure, products or services. The process of virtual representation of a manufacturing unit is called a digital twin. Using data gathering tools like sensors and cameras, the physical representation of manufacturing environment will be completely virtualized.
To make sure that digital twins are working properly, you should integrate all smart components like sensors that are collecting data from equipment’s. Using a cloud connection, the data generated by smart components will be collected, stored and processed. As AI-based systems needs vast amount of data, further, Ai systems retrieves data from cloud and makes it workable for the company.
#5 Supply-Chain Management
Use of artificial intelligence in the supply chain management is rapidly increasing. The technology is gaining momentum across supply chain management operations. Machine learning, natural language processing, computer vision, robotics and speech recognition are making supply chain management tasks smarter.
AI has multiple applications in supply chain management. They include:
• Establishes a strong communication channel among departments
USM’s supply-chain management solution for manufacturing industry brings different management streams of an enterprise at single platform. Thus, the best communication channel among teams helps to improve overall business performance.
• Warehouse management & logistics
Artificial intelligence tools and apps can optimize the warehouse management and logistic operations. From product storing to delivery and receiving, everything can be analyzes using AI.AI-enabled devices and tools can also manage and track fleet operations efficiently.
• Development of autonomous vehicles for logistics
Artificial Intelligence in manufacturing is going to its next level in the form of autonomous vehicles. To better manage the distribution centers, the manufacturing companies are investing in AI-powered autonomous vehicles to automate the logistic operations.
Hence, together with artificial intelligence robotics and tools, self-driving vehicles reduces dependency on human drivers. A big thanks to artificial intelligence technology.
USM AI Mobility Solutions for logistics operations are incredible. Once have a look at what our artificial intelligence solutions offer:
#6 Forecast Product Demand
Artificial intelligence systems using predictive analytics can also forecast the product demand efficiently. AI tools for manufacturing collects data from various sources and based on it, they can accurately forecast the product demand.
#7 Inventory Management
Artificial intelligence app in manufacturing allows you to manage order records and delete/add new inventories. Here, we should talk about machine learning technology. It was one of the most significant technology that is used for managing supply, demand, and inventories.
#8 Price Forecasts
Using historical data of product prices, and analyzing pricing structure of various competitor’s product prices, machine learning algorithms can forecast the price of a product. Competitive prices are always offers more profits to the companies.
#9 Robotics in Manufacturing
We are all well aware of use of robots in manufacturing processes. It’s a fact that machines can perform more efficiently than humans. Of course, they need a support of human workforce. But, any way machine are very much faster than humans in doing tasks. AI-powered robots for manufacturing performs repetitive tasks without being programmed. This is one of the best application of AI and ML for manufacturers.
#10 Customer Management
AI applications for manufacturing customers help in increasing sales, productivity, and business performance through managing their customers smartly. Yes, with the use of smart AI apps for manufacturing, service providers can quickly understand the customer issues and resolve them, and also personalize their experience.
Let’s have a look at the benefits of AI service and solutions in customer service:
- Quick response time
- Personalized experience
- Improved relations using CRM (Customer Relationship Management) tool
- To make informed decision using customers data
Is AI the future of manufacturing?
100% Yes. Artificial intelligence will be the future of manufacturing industry. Not only manufacturing, it’s a game-changer for all industries. AI technology is now more accessible for all businesses.
Driven by increased product demand, manufacturing industry will always open up to adopt new technologies like AI, ML and etc. Process optimization, low cost overheads, high productivity, quick decision-making, and improved customer services, everything will be obtained using AI in manufacturing.
Get more information of USM’s AI services and solutions for manufacturing industry. Let’s see might our AI solutions in manufacturing help your business.