According to a January 2019 research document by Rockwell Automation, India’s manufacturing sector would grow from $350 billion in 2018 to a $ 1 trillion industry by 2025.

According to the report, bespoke solutions will be developed for a “connected enterprise” because India is a booming market for industrial automation and there are an increasing number of partnerships taking place.

Impact of AI & Machine learning

Both artificial intelligence (AI) and machine learning have been utilised in a number of processes to identify fraud, find production irregularities, and more.

The most recent developments in AI have developed methods for dealing with categorization, estimation, and clustering issues that promise to be substantially more valuable.

The most cutting-edge deep learning approaches using artificial neural networks may generate up to $3.5 trillion to $5.8 trillion in value annually, or 40% of the value produced by all analytics techniques, according to a McKinsey & Company review of several hundred AI use cases.

Learn more about how and why industrial automation will impact our lives in the years to come.  

What is Industrial Automation?

Automation is the use of specialised methods and devices that assist human operators in carrying out a task. In other words, automation uses logical programming commands, strong technology, and replaces human involvement.

Industrial automation can be defined as the use of predetermined technologies and automatic control devices to automate the operation and control of industrial processes without the need for human intervention and to produce better results than manual labor can.

Industrial automation systems can identify manufacturing flaws in products produced on an assembly line, recall cars, and maximize machine learning for operational productivity.  

How AI helps in Industrial Automation

AI, machine learning, and industrial robotics technologies have merged into single systems for manufacturing production to give us a number of benefits.

Increased uptime, reduced programming time, and higher productivity are some of the key benefits of industrial automation.

Increased Productivity

One benefit of industrial automation is higher output with quicker and better performance. Industrial automation hastens mass production by slashing assembly times significantly while improving product quality.

As a result, it generates a substantial amount of output for given labor input. Reduced time-to-market also means that newly developed items can be in the hands of customers in a matter of hours or days.

Optimum Cost of Operation

Another major advantage of industrial automation is the integration of several industry processes with automated machinery to minimize manual cycles and effort and bring down the need for human labor. This translates to saving capital spent on employees.

• Improved Product Quality

Automation lessens the need for human interaction, which minimizes the likelihood of human error. By adaptively controlling and monitoring the industrial processes at all phases, from the conception of a product to its final form, uniformity and higher conformance of the result can be maintained.

• Goodbye to manual routine checks say hello to automated checks

Industrial automation reduces the need for manual checking of various process parameters. automation technologies keep track of industrial processes and automatically adjusts process variables to set or desired values using closed-loop control techniques.

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• Higher Safety and Security

We have observed in the past how blatantly careless manual errors in the management or control of industrial processes, equipment, or production units resulted in significant power waste, excessive use, and even accidents.

With industrial automation, not any more. Automated machines, such as those with auto-off modes, power-saver modes, or automatic warnings for dangerous circumstances, can be controlled and handled in a more structured way.

Industrial automation 2.0 in Manufacturing Industry: Impact of AI & Machine learning

In addition to saving lives, this also conserves energy. There will always be industrial automation. Order-driven manufacturing will cut down on waste and help dynamic supply networks function more quickly and effectively.

To configure the assembly of products, manufacturers will use real-time digital platforms linking consumer and industrial data.

A speedier setup of production lines to produce newer and better items will benefit both consumers and manufacturers. Workforce skills will be greatly impacted by industrial automation. The need for highly technical skills like programming will increase.

Increased social, emotional, and higher order cognitive abilities are also a result of this. According to McKinsey & Company, even while the necessity for physical and manual skills will undoubtedly drop, they will still make up the majority of worker capabilities in many nations in 2030.