There is no doubt that over 60% of manufacturing companies are using AI technology. AI in manufacturing cuts downtime and ensures high-quality end products. Moreover, manufacturing companies are applying AI-based analytics solutions to their information systems for improving work efficiency.

AI in manufacturing will have a crucial impact on the smart maintenance of the production environment.  To avoid sudden damages to machinery, manufacturers are predictive solutions. These Ai-enabled solutions for manufacturing companies can predict the failure of equipment before they get damaged.

Similarly, artificial intelligence in manufacturing also helps manufacturers to get faultless products to market on time. Thus, AI in manufacturing impacts product quality and ensures profits. Herein, we have compiled the ten best mobile applications of artificial intelligence in manufacturing in the below session.

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Top 10 uses cases of AI in manufacturing industry

The uses of AI in the manufacturing industry are incredible. Industrial AI robot collaboration enables manufacturers to deliver generative products faster.

AI in the manufacturing industry is changing the way manufacturers design products. The AI solutions for manufacturing offer insights into the best design. Similarly, AI offers manifold benefits to manufacturing companies.

For instance, BMW uses AI for product quality, General Motors uses AI for Intelligent maintenance, and Nissan uses AI for manufacturing to design ultra-modern cars. Likewise, many biggest brands are using AI for manufacturing operations.

How is AI used in manufacturing the industry?

Here are to best AI applications in manufacturing industry.

#1 Quality Checks

It is one of the best AI use cases in manufacturing sector. Internal defects of equipment cannot be detected easily. Sometimes experts are also unable to detect the flaws in products by observing their functionality. But, artificial intelligence (AI) and machine learning (ML) technologies can do this efficiently. Minor flaws in machinery can also be detected with AI systems, tools, and applications with ease.

Hence, AI in manufacturing sector ensures quality control. Smart AI solutions monitor the productivity of machinery, track performance, find faults, improve productivity, and reduce maintenance costs. That’s why most manufacturing companies use AI automation in their manufacturing routines.

USM has proven expertise in building equipment maintenance AI solutions. Being the best AI development company, we provide out-of-the-box AI Services and Solutions that allow manufacturers to know when equipment needs to be repaired or replaced.

#2 Predicts Equipment Failure

It is another significant AI application in manufacturing sector. The most common use of AI and ML in manufacturing is to improve equipment efficiency. Manufacturers face challenges with sudden machinery failures. A product might look perfect from the outside, but it offers low performance when we use it. It affects productivity.

It is the second most reason behind the increased demand for AI in manufacturing sector. Leveraging the capabilities of AI, ML, and predictive analytics technologies, AI development companies are creating best-in-class robotic solutions and predictive maintenance systems that give prior intimations of equipment damages is any and prevent accidental shutdowns of machinery.

#3 Equipment Predictive Maintenance

Predictive maintenance of devices allows the manufacturer to cut device repair or maintenance costs. Using ML-powered predictive solutions, AI tools for manufacturing can predict when machinery requires maintenance services.

Similarly, cloud and the IoT sensors are also playing a vital role in modernizing the manufacturing industry. The AI systems and applications are trained to explore insights from the device performance data which is collected from connected IoT sensors. These insights help manufacturers to know the performance of individual devices. Such insights will assist companies in predicting the failure of the devices that has to happen in the future.

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 and reduce cost overheads.

Our AI app development team with deep knowledge of AI technologies creates futuristic AI-powered mobility solutions that help businesses transform the traditional manufacturing operations. We have successfully developed an AI solution for a leading manufacturing company and assisted them to optimize the internal condition of their equipment.

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#4 Digital Twins

The benefits given by AI for manufacturing companies are boundless. Digital Twin is one of the AI innovations in the manufacturing sector. The digital twin is called a virtual environment of the entire manufacturing infrastructure. Manufacturers can better manage devices and monitor the production environment all the time virtually.

Moreover, digital twin applications allow manufacturers to virtualize the final product design and augment it if needed. The ultimate goal of the digital twin is to design and test equipment virtually.

#5 Supply-Chain Management

The use of artificial intelligence in supply chain management is rapidly increasing. AI technology is gaining momentum across supply chain operations. From inventory management and material loading and delivery, AI applications with the help of IoT sensors are helping manufacturers in organizing entire supply-chain operations in a more organized way.

Along with AI, Machine learning, computer vision, robotics process automation, and speech recognition technologies make supply chain management tasks easier, faster, and 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 the manufacturing industry brings different divisions of an enterprise to a single platform. Thus, the best communication channel among teams will be established and help to improve overall business performance.

• Warehouse management & logistics

It is the most popular use case of AI for manufacturing industry. Artificial intelligence tools and applications can optimize warehouse management and logistic operations more efficiently and intelligently. From production to delivery, everything can be monitored, organized, and analyzed using AI systematically. AI-enabled devices and tools that 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 or self-driving vehicles. To better manage the distribution centers, the manufacturing companies are investing in AI-powered autonomous vehicles for logistic operations.

A big thanks to artificial intelligence technology. Using Artificial intelligence-powered manufacturing robotics and self-driving vehicles across production and logistics operations, manufacturers can reduce dependency on the human workforce and improve productivity.

Click here and know more about USM AI Mobility Solutions for logistics operations.

#6 Forecast Product Demand

Artificial intelligence systems using predictive analytics can also forecast the product demand efficiently. AI tools for manufacturing collect data from various sources. Later, based on data, tools can accurately predict the product demand.

#7 Inventory Management

Artificial intelligence app in manufacturing allows you to manage order records and delete/add new inventories. AI and ML technologies are best for automating supply, demand, and inventories functions.

#8 Price Forecasts

By analyzing historical data of product prices, machine learning algorithms can forecast the price of a product. Competitive prices always offer more profits to the companies.

#9 Robotics in Manufacturing

We are all well aware of the use of robots in manufacturing processes. It’s a fact that machines can perform more efficiently than humans. Of course, they need the support of the human workforce.

AI-powered robots for manufacturing perform repetitive tasks without being programmed. It is one of the best applications of AI and ML for manufacturers.

#10 Customer Management

AI applications for manufacturing increase sales, productivity, and business performance. The smart AI apps for manufacturing can quickly understand customer issues and provide personalized solutions.

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 an informed decision using customers data

How Is Artificial Intelligence (AI) Impacting The Manufacturing Industry?

Artificial intelligence technologies have achieved tremendous growth over the past few years. Its impact is on every industry, including the manufacturing sector. Here are four significant ways of how AI technology is influencing manufactures.

• Manufacturers are increasingly launching AI robots in the production line to ensure a safer workplace and improve productivity.
• Using AI, manufacturers can detect product defects and issues related to quality and design.
• With a blend of AI, ML, and industrial revolution technologies, manufacturers can create thousands of product designs in just a few seconds. Such design possibilities assist manufacturers in producing end-product in a unique structure.
• As discussed, AI solutions help manufacturers manage stock and balance supply and demand. AI inventory management solutions for manufacturing or AI demand forecasting applications and tools help manufacturing companies manage their inventory levels and clutch profitable business.

AI Impact On Manufacturing Industry

The global manufacturing companies are investing heavily in AI. With the main focus on reducing production costs, manufacturing companies are rushing to use AI in their processes. It is expected that investment will surpass $14 billion by 2025 from $2.9 billion in 2020.

The figure below depicts that how manufacturers are generating revenues through AI. Compared to AI software, manufacturers are creating more revenues using AI-based hardware and AI services.

USM’s innovative AI services make your manufacturing business smarter. From equipment maintenance and productivity to warehouse management, we provide AI solutions and services to bring automation.

So, implementing AI manufacturing processes would give stunning profits to manufacturing companies in the near term future.

USM’s AI solutions bring automation to on-field services. Our advanced artificial intelligence mobility solutions also improve employee productivity. We are experts in developing AI-powered solutions that tackle equipment maintenance and warehouse management.

Is AI the future of manufacturing?

100% Yes. Artificial intelligence will be the future of the manufacturing industry. Driven by increased product demand, the manufacturing industry adopts new technologies like AI, ML, and etc.

Overall, using AI in manufacturing AI offers process optimization, low-cost overheads, and high productivity. It also allows manufacturers to make quick decisions and improve customer service quality.

Get more information on USM’s AI services and solutions for the manufacturing industry. Let’s see might our AI solutions in manufacturing help your business. Have a look at the top 25 mobile apps development companies in USA to get a quote for your AI app development project.

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Nowadays, most of the businesses across the globe are adopting machine learning solutions in manufacturing to improvise their processes and getting better results.

According to the research report of McKinsey, around 40 per cent of the potential value that can be generated by analytics today comes from trending technologies like machine learning and artificial intelligence. In total, ML ranges from 3.5 trillion dollars to 8 trillion dollars of revenue annually.

Trendforce firm has found that smart manufacturing is in line with the rapid growth rate. The company forecasts the market of smart manufacturing to reach $ 320 billion by the year 2020, with a compound annual growth rate of 12.5%.

According to Allied Market Research, the global market of Artificial Intelligence in Manufacturing Industry was $513 million in 2015 and is forecasted to reach $15,273 million by 2025, growing at 55.2% CAGR.

In our previous blog, we have clearly discussed the importance of AI in manufacturing and listed top 10 applications of Artificial Intelligence in the manufacturing sector.

Click here to learn the Top 10 Use Cases of AI in Manufacturing Sector
Today, in this post, we will be especially discussing how machine learning and AI are making the manufacturing process simpler and easier.

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#1. Manufacturing Process Improvement
Manufacturing is the one industry that is greatly benefiting with ML. Using this machine learning technology; manufacturers will be able to identify all sorts of problems on their common production methods, from obstacles to non-profit production lines.

By integrating the ML-based tool with the Industrial IoTs‌, organizations are taking an in-depth look at their inventory management, assets, logistics, and supply chain management. It brings high-value insights that explore potential opportunities not only in the manufacturing process but also in product packaging and distribution.

Example:
A great example of this can be seen in the German Conglomerate Siemens, which uses neural networks to observe its steel plants for potential problems affecting its efficiency. By just installing a combination of sensors in its devices, and with the help of Mindsphere (its own smart cloud), Siemens can monitor, record and analyze each and every step that is involved in the production process. This is also called Industry 4.0, a trademark of the era of smarter manufacturing.

#2. Product development
The product development phase is obviously the most widely accepted uses of machine learning. The planning and designing phase of new items and the improvement of existing products are tied to the data that needs to be considered to give the best outcomes.

Therefore, Machine learning solutions help to collect customer real time data, analyze and also identify new business opportunities. All of these end up with good products from an existing catalogue and new products that can reveal new revenue streams for the organization.

Example:
Coca Cola is using machine learning tool for the development of products. In fact, Cherry Sprite’s experiment was the result of Coco Cola’s use of Machine Learning.

This soft drinks supplier uses interactive soda fountain dispensaries, where consumers can add a variety of flavours to the catalogue drinks. The company gathered the total amount of data and ML to detect the most often combinations.

#3. Security
As all the ML solutions are highly depending on the operating systems, cloud and on-premise platforms, apps, and networks, the safety and security of mobile devices, apps, and data being is needed for smart manufacturers.

Thankfully, here is an answer to machine learning technology in the ZTS framework (Zero Trust Security). Due to this technology, user-access to valuable information and digital access is heavily limited and regulated. Therefore, machine learning models helps greatly in accessing their protected data, what applications they are using and how they are connecting to it.

Unfortunately, the use of frameworks and zero trust architectures is not strictly standard for the manufacturing sector. In a recent survey, only 60% said they plan to introduce zero-trust policies in their digital landscapes.

#4. Quality Control
ML technology can improve final product quality by up to 35%, particularly in private manufacturing fields. There are two ways ML can do this. First, detect irregularities in the items and their packaging.

Through in-depth scrutiny of manufactured products, organizations can prevent defective products from ever entering the market. In fact, some studies talk about up to 90% development in error detection compared to human inspections.

And then there is the possibility of increasing the quality of the entire process of manufacturing. Through ML apps or IoT devices, companies can analyze the performance and availability of all devices used in the manufacturing process. It will allow maintenance hazard management to forecast the best time for specific equipment to extend its life and avoid costly time intervals.

Example:
General Electric is one of the leading electric investors in the field of quality control, particularly in everything related to appraisal management. In addition, it has created and implemented its Machine Learning-based tools in over a million assets across its customers and business units, including power generation, the aerospace, and transportation industries.

Its system identifies early warning signs of disorders in its productive pathways and to provide prognostics with long-term expectations of behavior and life.

#5. Robots
Finally, there are some well-known partners for manufacturers who are smart with ML: Robots. Industrial AI usage in robots enables humans to perform dangerous or complex simple tasks. These latest robots have surpassed assembly ranges because their ML capabilities enable them to solve more complex processes than ever before.

Example:
This is exactly what KUKA, a German manufacturer in China, is targeting with its industrial robots. Its aim is to develop robots that can work with humans and act as their partners. And, in that way, the firm is folding its robot named the “LBR Iva”.

This intelligent robot is instilled with high level-performance sensors that enable to perform complicated tasks while working beside humans and know how to improve their manufacturing productivity.

KUKA Company uses AI robots in its factory. Well-known auto brand BMW is one of its largest customers and one of the businesses that have already discovered that robots can minimize human error, improve productivity and raise value across the entire production chain.

Wrapping Up

I would say that the manufacturing industry is a technologically advanced sector. For decades, manufacturing companies initially embraced all the technologies available, ranging from sophisticated digital solutions to robotics and automation. So, it is no wonder that manufacturers across the globe are already heavily investing in machine learning algorithms to improve their processes.

Reduced equipment failures, increased productivity, improved distribution, etc. are some of the major advantages of using machine learning technology in the manufacturing industry. While we are far from embracing these solutions widely, the path has already been paved, and many businesses are leading the smart way of products manufacturing.

Take Advantage of Machine learning to reap the benefits from the smart manufacturing factory

USM Business Systems is moving towards delivering innovative and next-generation ML solutions to create a manufacturing industry smarter. From design and development to production and distribution, we build an ML strategy for your smooth journey.

If you have any queries, please do not hesitate to Contact us.

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