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The Latest Trends In Industrial Automation Engineering

The guide discusses several industrial automation trends, including digital technologies to connect workers and improve productivity, real-time dynamic supply chains, environment preservation, and sustainability, and the need for an upskilled workforce to facilitate automation.

The guide also highlights the importance of responding to societal and socioeconomic trends to create new opportunities for manufacturers.

What is a digital manufacturing architecture (DMA), and how does it differ from traditional ERP and MES systems?

A digital manufacturing architecture (DMA) is a highly integrated and real-time system that allows for synchronization with manufacturing, creating a closed loop. It leverages advances in distributed computing and open systems to achieve synchronized, real-time, optimized production.

DMA provides immediate visibility throughout the entire enterprise, delivers unified, accurate, and timely data for decision-making, and adjusts to changes in the supply chain, cost, and customer demand to optimize internal and external resources.

In contrast, traditional enterprise resource planning (ERP) and manufacturing execution systems (MES) are manual or loosely coupled with manufacturing business systems. MES and other overlay methods have tried to close the gap but cannot do so without increased complexity and duplicated data. They result in complicated, duplicative models, higher costs, and questionable reliability while not providing enough insight into product availability.

Industrial automation use control systems like computers to operate machinery and equipment in factories and other industrial settings. Industrial automation has existed for many years but constantly evolves with new technologies. The latest industrial automation engineering trends focus on improving efficiency, productivity, and safety.

“The latest industrial automation engineering trends focus on artificial intelligence (AI), the Internet of Things (IoT), and 5G.

I believe that these technologies have the potential to revolutionize the way we provide control engineering and instrumentational automation services.” – Waman Sanap is the CEO of

iPAC Automation Pvt. Ltd⁠

. (an

Instrumentation Detailing & Designing Services Provider in India⁠

)

Latest trends in industrial automation engineering

⁠

Artificial intelligence (AI) is one of the most promising new technologies for industrial automation⁠

. AI can be used to automate tasks currently performed by humans, such as quality control and predictive maintenance. AI can also create new products and services, such as self-driving vehicles and smart factories.

The Internet of Things (IoT) refers to the network of physical devices connected to the Internet. By connecting industrial machines and equipment to the Internet, businesses can collect data and insights that can be used to improve operations.

For example, businesses can use IoT data to monitor the performance of their machines and equipment, identify potential problems before they occur, and optimize their production processes.

5G is the next generation of wireless technology. 5G offers faster speeds and lower latency than previous generations of wireless technology. This makes 5G ideal for applications that require real-time data transfer, such as industrial automation.

For example, 5G can transmit data from robots to controllers in real time, allowing robots to operate more safely and efficiently.

Robotics is the technology field that deals with robot design, construction, operation, and applications. Robots are used in industrial automation to perform various tasks, such as welding, painting, and assembly. Robots can also be used to work in dangerous environments. For example, robots are often used to clean up hazardous waste or to operate in radioactive environments.

Big data analytics transmit data from robots to controllers in real time, allowing can be used to improve efficiency, productivity, and safety in industry settings. For example, big data analytics can be used to identify patterns in production data that can be used to prevent defects or predict equipment failures.

Big data analytics can also be used to optimize production processes and improve customer service.

These are just a few of the latest trends in industrial automation engineering. These technologies are already having a major impact on the industrial sector, and their impact will only grow in the future.

How can these trends benefit your business?

The latest trends in industrial automation engineering can benefit your business in several ways, including:

Improved efficiency: Automation can help to improve efficiency by reducing the need for human intervention in production processes. This can lead to faster production times, lower costs, and improved quality.

Increased productivity: Automation can help increase productivity by freeing employees to focus on more strategic tasks. This can lead to higher output and better customer service.

Enhanced safety: Automation can help to enhance safety by reducing the risk of accidents and injuries. This is especially important in industries with hazardous working conditions.

Reduced costs: Automation can help to reduce costs by eliminating the need for human labor. This can lead to lower operating expenses and improved profitability.

If you are looking for ways to improve your business's efficiency, productivity, safety, and profitability, consider investing in the latest trends in industrial automation engineering.

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