"These are incredibly resilient ecosystems that rely on mutualism, not parasitism. It's beautiful complexity." MAYA Design's Micky McManus turned to nature for examples of the complex, dynamic and interdependent systems that will characterize the manufacturing companies of tomorrow.
With a trillion devices, the amount of information will be staggering, as will the complexity. "And the scale of the opportunity will be much bigger than we can imagine," McManus said. To cope, we'll have to develop methodologies that more closely resemble Mother Nature's, McManus said, citing thehuman body's effective coordination of 50 trillion individual cells, or a 75,000-year-old stand of aspen trees that acts as a single organism. "These are incredibly resilient ecosystems that rely on mutualism, not parasitism. It's beautiful complexity."
Within industry, this pervasive connectivity is colliding with other digital manufacturing megatrends such as three-dimensional (3D) and even "4D" printing. "Not only can you print objects, you can embed behaviors into them," said McManus, citing a printed carbon fiber part that bends when an electric current is applied. "It opens up applications where not only is the object sensing, it is adapting," McManus said. "We'll actually be building networked matter."
3D printing isn't just for prototyping anymore, and will fundamentally transform how manufacturing gets done, McManus contends. Invisalign, for example, made three million retainers last year, and each one was printed. "That's the factory of the future you should think about," he said. "Other factories won't go away, but tying the factory, dentist and patient together digitally gets unique items built." In another example, he noted that 13,000 finished Barbie dolls can fit in a shipping container, but that same container can hold 250,000 Barbie dolls' worth of raw polymer. "The benefits of printing things at the edge will have a profound impact on supply chains. The future of making things is changing."
"The 20th century was about setting up static equilibrium," McManus concluded. "You built your factories, designed your products, and hoped things didn't change." Today, industrial companies must strive to maintain a dynamic equilibrium, he said. Building smart machines that continuously sense, learn and adapt may seem a difficult task, but remaining relevant and competitive in the 21st century will require it.