pic from https://upload.wikimedia.org/wikipedia/commons/2/22/Factory_Automation_Robotics_Palettizing_Bread.jpg
As the Industrial Internet revolutionizes manufacturing, the essential difference between the automation of the past and Industry 4.0 automation is scale.
The linking of the physical and digital in the Internet of Things has enabled manufacturing’s next evolution: the Industrial Internet, or Industry 4.0. Shawn Fitzgerald, vice president of marketing at Thomas, recently shared some insights on the effects of increasing automation and sensor integration.
At the beginning of 2017, IDC published itsforecast for worldwide spending on the Internet of Things (IoT). It came up with the figure of $737 billion for spending on IoT in 2016 to cover organizational investments “in the hardware, software, services, and connectivity” it requires. That amount would continue to grow based at “a compound annual growth rate (CAGR) of 15.6% over the 2015-2020 forecast period, reaching $1.29 trillion in 2020,” the firm projected.
A huge chunk of that is to come from industry. In fact, IDC’s estimates allocate the lion’s share of IoT investments in 2016 to that sector and found that it involved several large investment amounts. For the 2016, investment in IoT for manufacturing operations would have amounted to $102.5 billion. It also involved a chunk of investment in logistics, specifically freight monitoring to the tune of $55.9 billion.
The motivation for such hefty investment at this time, according to IoT World’s report Manufacturing IoT & Supply Chain Transformation in 2017 (registration required) “is simple: a compelling ROI through increased efficiency, productivity, reliability and safety.”
Indeed, that fits “the formula for the Industrial Internet” that GE set forth in its 2015 Industrial Internet Report. It described the IoT for industry “as a source of both operational efficiency and innovation that is the outcome of a compelling recipe of technology developments,” which are composed of the following parts.
Data: both from the standard forms of Big Data and the additional streams coming through the sensors that track “equipment, products, factories, supply chains.”
Analytics that can assess the status of the connected things.
The definitive core of the business that defines the desired outcomes
Success is not just a matter of timing but if also finding the right context. That’s the story behind Google Glass reception. Its first foray ended in failure, but it has found a new context in which it could thrive.
I remember when Google Glass was launched in 2013 as the ultimate wearable with a sticker price of $1,500. I recall reading one review that conceded that it had some problems but still thought that it was to be embraced as “the future” of tech. Just about every other reviewer rejected them, among them one who went on to list the reasons why people hate it.
As it turns out, both sides were right. People did have major issues with Google Glass as a personal device. However, the hands-free convenience combined with smartphone capability proved very valuable in an industrial setting.
That’s why Alphabet X stopped trying to sell Google Glass directly as a consumer item and it up into the Enterprise Edition of the wearable. Its current tagline is: “Glass is a hands-free device, for hands-on workers.” The product is no longer sold by Google directly but through partners who have customized the device for industrial purposes.
3D printing is coming into its own as an integral part of manufacturing. That's the view of Jack Hornick, an intellectual property attorney and author of 3D Printing Will Rock the World,a suggested textbook for "The 3D Printing Revolution" Coursera course offered by the University of Illinois Champagne-Urbana. I spoke with him about the energy saving potential of 3D printing.
reality was you'd have to compromise on at least one of the three. However, today's technological advances like drones and 3D printing combined with advanced data collection make the inventory strategy of Just-In-Time (JIT) inventory more feasible than ever before. As a result, manufacturers now have the possibility of making their supply chains fast, good, and cheap.
"This is nothing less than a paradigm shift in industry: the real manufacturing world is converging with the digital manufacturing world to enable organizations to digitally plan and project the entire lifecycle of products and production facilities," observed Helmuth Ludwig, CEO, Siemens Industry Sector, North America.
Efficient supply chains can be identified by a handful of components: proximity, flexibility, and minimal waste. Now, the automotive industry is hoping to capture some of these same benefits through the use of 3D printing.
Though it hailed 3D printing as the "third industrial revolution" in 2012, The Economist cautioned that it "is not yet good enough to make a car." Since then, though, 3D printing, referred to as the additive manufacture in the auto industry, has advanced to the point that car bodies can and have been printed. In future, additive manufacture will likely be an integral part of the car supply chain, and not just at the point of creating models for design or rapid prototyping.
This past year, Deloitte University Press published a detailed study of the future prospects for car manufacturing in an article titled 3D Opportunity for the Automotive Industry. The value of 3D printing for rapid prototyping and realizing innovative new design has already been established across industries, but it can also be used in manufacturing the end product. That is what has the potential to really transform the supply chain for the car industry.
Nigel Southway is a productivity consultant and the co-author of Cycle Time Management, a guide to applying lean thinking to organizations to maximize efficiency. His perspective is informed by his first-hand observations of economies in Europe and China, as well as in the NAFTA region. Read more with additional insight from Nigel Southway in the comments in
According to Nigel Southway, the real transformative power of 3D printing lies in its potential for engineering more efficient tools of production. Read more in