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Over the past two decades, automation in manufacturing has been transforming factory floors, the nature of manufacturing employment, and the economics of many manufacturing sectors

Today, we are on the cusp of a new automation era Rapid advances in robotics, artificial intelligence, and machine learning are enabling machines to match or outperform humans in a range of work activities. This “lights out” production concept—where manufacturing activities and material flows are handled entirely automatically—is becoming an increasingly common attribute of modern manufacturing In part, the new wave of automation will be driven by the same things that first brought robotics and automation into the workplace

To free human workers from dirty, dull, or dangerous jobs A new era of automation in manufacturing michael chui, james manyika, mehdi miremadi, and katy george new technologies are opening a new era in automation for manufacturers—one in which humans and machines will increasingly work side by side. We look at why ai in manufacturing is the next stage of the fourth industrial revolution, and how businesses can use ai to innovate and accelerate. The activities range from packaging products to loading materials on production equipment to welding to maintaining equipment.

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Digital machinery presents manufacturing companies with the opportunity to build their own smart factories or sell smart machines that help their customers digitize theirs

Beyond this, digital machinery also means a shift from “hardware only” to “hardware, software, and services” that enables the development of new business models. Manufacturers in industries such as automotive and electronics, nearing the tipping point of digital adoption, are achieving even faster and more sustainable change through industry 4.0. A looming equipment supply shortage today, only a handful of companies that specialize in battery cell manufacturing equipment—used for slurry mixing, electrode manufacturing, cell assembly, and cell finishing—are operating in europe The majority are in china, japan, and south korea (exhibit 3).

Machine performance will not just be the responsibility of the production, maintenance, or engineering functions All functions within a manufacturing organization will play a key role, and all functions must be aligned to the performance expectations outlined. Preface the set of advanced technologies in the manufacturing space is comprised of many digital innovations Advanced analytics, automation, the industrial internet of things (iiot), industry 4.0, machine learning, artificial intelligence (ai), cloud platforms, and so on

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These innovations have the potential to boost the productivity of companies’ legacy operations

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