Systems Engineering for Smart Products

With the evolution of smarter, more complex products, many organizations have struggled applying their standard development processes. The Design V serves as a good guiding light for systems engineering thinking; however, for complex system development these concepts need to be extended in a few key areas.

First, system engineering processes have been traditionally document-centric. That is, the system design and associated decisions were captured in a series of static documents. What has been learned in recent years is that deploying system engineering in the context of dynamic models is much more effective for communicating the system design across the enterprise and then maintaining it throughout the product lifecycle. 

Second, the system life cycle is rarely linear or as simple as the Design V might imply. There are iterative cycles at every phase. Early deployment of simulation and system optimization can compress these iterations, identify design shortcomings earlier, and improve system performance. 

Finally,the growing importance of embedded software development and managing the costs associated with testing and certifying embedded systems has become a key engineering initiative. Model-based software development and certified and automated code generation are important attributes for engineering embedded systems. In this paper we will address how product development and system engineering is being extended in all these areas to deliver safer, higher quality smart products to the market faster.