The Process Digital Twin: A step toward operational excellence
For the first time in many decades, we are at a point where technology innovation has outpaced business process innovation. If you think about it, it’s clear that digital transformation is not about software or technology. It is about innovating on business process improvement without being dependent on any technology constraints; technology only helps to accelerate the pace of transformation.
At Microsoft, we see three clear drivers that are accelerating manufacturing transformation, today:
The design principles of Industry 4.0: This is about vertical integration, horizontal integration, and collaborative engineering all the way from supplier to manufacturer to customer. These principles call for achieving new levels of business value and process improvement across the network by taking advantage of new technology such as inexpensive connectivity, big compute and cloud.
The factory of the future: This is a virtual ecosystem where humans and machines work together like peers, and collaborative robots (cobots) are intelligent enough to contribute across an extended virtual ecosystem.
The Digital Twin: Key to the success of the factory of the future is the Digital Twin. While there are a wide variety of technologies at play in digital factories, three of them—artificial intelligence, IoT and mixed reality—are critical to truly achieving a new level of performance with a new class of Digital Twin.
The evolution of the Digital Twin
As we look back, we know that Digital Twins have evolved rapidly over the last two decades. For many years, the focus of creating a Digital Twin has been centered solely on equipment, most notably around optimizing the product life cycle.
However, there are limitations in terms of what traditional Digital Twins can achieve. For example, manufacturers can work on either the virtual model or the physical models but not on both simultaneously. Traditional systems severely limit the ability to collaborate across the virtual environment while in operation. And, while Digital Twins do extend predictive capabilities, as a stand-alone, they don’t support advanced reasoning alongside humans.
A new class of Digital Twin for Industry 4.0: The Process Digital Twin
Now we see a new evolution taking place. The power of the Digital Twin is no longer just around the visualization and collaboration of a specific piece of equipment to manage its lifecycle; we can now use the Digital Twin to understand the entire manufacturing operation – that is, create the Manufacturing Process Digital Twin.
When you combine this kind of functionality, you can create an entirely new set of capabilities that improve the equipment performance and increase the quality of the end product—ultimately optimizing process improvements across the entire manufacturing process.
