It seems every trade magazine I pick up nowadays has an article on Industry 4.0 or big data or the Internet of Things or the digital factory. These terms are being pitched around like a rugby ball and almost always with a decided lack of clear definitions.
So, as the saying goes, let’s set the record straight.
German Chancellor Angela Merkel, along with her ministers of industry and education, ordered a study about the manufacturing environment. In response, the National Academy of Science and Engineering, which represents the interests of German scientific and technological communities at home and abroad, drafted its vision of Industrie 4.0, which was to be a coordinated initiative between the IT world, universities, and various manufacturing associations to reshape industry. It would seek to combine the physical, virtual, and IT worlds with cybersystems, thereby creating a new working environment between workers and machines.
The 4.0 part of the name, incidentally, derives from it being the fourth industrial revolution. The predecessors were the mechanization of industry through steam and water power, applying electricity to mass production, and the invention of the computer, which led to our modern concepts of IT and automation.
Industry 4.0 (English spelling) has been adopted worldwide as a functional goal in industry, especially the manufacturing world and, specifically to our purposes, the machine-tool market. The metrics of performance and goals will differ by industry and end product. And the information-management jobs it will create will be unlike anything seen so far in industry.
Industry 4.0 represents a high point, where every company, whether a large OEM, major tier supplier, or smaller job shop, can implement and benefit from the technologies and communications platforms available today. One factor holding back Industry 4.0 is the mindset of management. That needs to change—they must be more proactive in supporting the changes among market leaders.
Without question, this vision is less a look into the future and more a vibrant collaboration between IT, machine-tool builders, industrial automation integrators, and especially motion-control suppliers. They will all benefit when machine control can take information needed to make the final products from the design, CAM, and PLM sides, and then send data on production, metrics, and machine-to-machine comparisons to evaluate the performance of machines, different shifts of technicians, and even entire plants—all at speeds measured in nanoseconds.
To work effectively, this concept requires standardization of both the communications and language used. For example, the MT Connect effort, which focuses on machine tools, has been a good start here in America. It strives to standardize the data, so that all types of machines with a host of different control brands on board can seamlessly transmit data up the line for evaluation and adjustment in real time.