From drawings to simulations, engineers are increasingly using advanced technologies to capture data and
craft design in a digitized environment. From connected coffee makers, vibration monitoring of industrial
pumps to remote patient monitoring devices, the network of physical objects embedded with software,
sensors and network connectivity is growing by the day. Through progressive applications, the art of
digital engineering enables designers to explore possibilities and develop innovative solutions.
So what makes digital engineering so...'innovative?'
Well, in short, the flow of data and the ability to act on data, fast or in an automated fashion.
Manufacturers often find themselves dealing with a legacy system that isn't pro 'digital
continuity' and as a result, many of the functions operate in silos. There is an inherent need to
streamline data flow and reduce discontinuity throughout the entire product lifecycle, starting from
engineering to manufacturing, to services.
What makes this transformation so complex is not just the availability of the right toolchain needed to
make the data consistent across different silos, but also the scarcity of the expertise needed to engineer
the entire connectivity of the data flow.
With productivity, speed of collaboration and faster time to market as the major goals of most
manufacturers, enabling a system that supports an effective flow of data is increasingly becoming
challenging. As a result, manufacturers are tapping into an ecosystem of service providers that have the
expertise and skillsets needed to digitally engineer a system that can streamline data flow and increase
To oversimplify, the transformation needed to build a manufacturing environment that enables digital
engineering can be broken down into three steps:
Assess the minimum amount of
data that is needed by each domain and subdomain of the process
Centralize the data into one
Build an execution model that
enables the handshake of data across systems
But it is easier said than done. Companies need partners that are
able to handle the different phases of the product development, not only from the technology point but
also from the change management standpoint. Which truly is where the meat of the digital engineering pie