Thursday, June 8, 2023

Data, robotics and other manufacturing technology trends

As manufacturers invest in new resources and resources in an uncertain economy, many prioritize spending on technology.

Emerging technologies, including AI, additive manufacturing, and 5G connectivity, have left many companies adrift in the motion of the past three years.

Key manufacturing technology trends

In the economic recession, the resources can represent the interests of the authors, Sara Samora said in a text for the portal Vestibulum Dive.

The writer reviews some of the key technology trends impacting today’s manufacturing industry.

For the manufacturing of automobiles and batteries

Tim Shinbara, president and CTO of the Association for Manufacturing Technology, expects electric manufacturing to mature in 2023, especially when it comes to electric vehicles and batteries.

“It’s important that we own the demand for manufacturing technology,” he said.

Companies are likely to increase R&D for chemical alternatives to lithium used in the production of electric vehicle batteries, such as gallium nitride.

He said that similar materials and integrative processes would also improve the production of hydrogen fuel cell batteries.

“I suspect 2023 will see the use of more technologies to improve the process itself with some developments in the technology itself,” the expert added.

Such developments are being made as companies deal with the growing demand for electric vehicles.

Automakers and their suppliers will continue to invest heavily in electric vehicle manufacturing in 2023 to keep up with demand, the threat of text.

connected information

The coming year will see an increased use of data in the manufacturing industry, Ragu Athinarayanan, a professor at Purdue University’s School of Engineering Technology.

“If we can collect data from the manufacturing system, we can track what’s happening in the process(es), when it’s happening, and use that data to generate insights,” he explained.

That, he said, will help manufacturers identify trends, predict outcomes and learn about potential, and predict problems before they happen.

Data from connected sensors can also help companies learn more about what’s going on with equipment and whether it needs maintenance or replacement, said Paul Wellener, US leader of construction and industrial products at Deloitte.

Companies investing in connected technologies, 5G or networks installed in manufacturing facilities, or using artificial intelligence and machine learning to increase efficiency, he added.

Automation and robotics will augment, not replace, labor

A number of manufacturers will add automation and robotics to their operations this year at Shinbara.

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Technologies are poised to grow in the manufacturing industry, in part because of their ability to help alleviate the need for current work.

“Using technologies like artificial intelligence and machine learning, we can get insights from the data,” Athinarayanan said. “

Then we can provide insights from human data, which is a human worker, to help improve the process.”

Wellener noted that the expanded use of robotics and automation will not replace workers, but improve processes and make them more efficient, complementing the workforce and helping to close skills gaps.

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For this reason, he thinks that the investment in these spaces will be reached in the coming months.

Because there is still a skill shortage at the macro level and a talent gap in manufacturing.


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