Manufacturing 2030: The Shape of Things to Come
The future state of manufacturing will be a highly efficient, high-tech engine of mass customization, driven by technology and transformed by innovation.
Members of the MLC Board of Governors share their thoughts on an industry they believe will be customized, autonomous, micro-networked, sustainable – and more.
Customized manufacturing is what customers demand, but getting there requires building a connected end-to-end value chain.
Consumers have more choice now than ever. Why wouldn’t you use readily available data from today’s increasingly connected customer to anticipate their needs, drive innovation, and earn their loyalty?
The reality is that end-market disruption is only going to increase. If you want to play a pivotal role in shaping the American economy for the next decade, you need to consider how to face that disruption with strengthened innovation…
What new skills, roles, teams, or new internal functions will manufacturers need in 2030?
Today’s version of artificial intelligence is at risk of undercutting the power of knowledge.To free this important technology, here are 10 recommendations that will enable AI in manufacturing operations to prosper.
Prepared for a cyber war? As cybercrime targets proliferate, manufacturers will need an army of cybersecurity experts to repel the hackers. MxD has identified 247 cyber roles that manufacturers need to consider.
Manufacturers must prepare the human workforce now to work alongside increasingly collaborative, even sentient, robots.
By 2030, spatial computing applications that precisely locate and map 3D movements to improve operations and maximize the multiple interactions between humans, machines, objects, and working environments will become ubiquitous.
Middle managers have been a part of organizational hierarchy since humans started working together. But that role must change as traditional manufacturing transforms to a data-driven digital engineering model.
Tomorrow’s manufacturing will require faster innovation, along with more complex models and operational processes.
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