Digital engineering provides a common digital language for coordinating and sharing information across all phases of the value chain and helps reduce waste through streaming knowledge and information through all project phases.
Many feel that the surge in digital engineering can be seen as a response to increasing complexity in the industry. New technologies, building materials, tools, techniques, and stakeholders’ expectations have introduced new factors into the production process.
The ultimate goal of Digital Engineering is to produce Digital Twins: digital replicas of real and potential physical assets that include both inanimate and animate physical entities for various purposes.
Many authorities believe that Digital Engineering and its associated Digital Twins promise to revolutionize how we architect and design future systems-of-systems.
Some feel that interrelated Engineering sub-disciplines such as Agile MBSE will likely play key roles in the Digital Twin technology revolution.
Agile MBSE technologies provide the architecture infrastructure for recursively scaling and simulating Digital Twins. Agile MBSE technologies are the distillation of a quarter-century of lessons-learned from Model-Driven Development (MDD), Model-Based Systems Engineering (MBSE), and Agile/Lean Development technologies, and can provide the recursive architecture and design patterns needed to address the fractal Digital Twin System-of-System challenge.
Artificial Intelligence (AI) and Machine Learning (ML) should also play a role. These technologies provide the software infrastructure for constructing intelligent (“smart”) Physical Twins, and by extension their Digital Twin counterparts.
Since AI & ML technologies are rapidly transforming how software-intensive Systems-of-Systems interact with humans, these complementary technologies will play a critical part in Digital Twin technology evolution.
Want to learn more? Tonex offers Digital Engineering Fundamentals for Programmatic and Technical Leadership, a one day course where participants learn about the holistic approach to analytics underpins dynamic system and system of systems (SoS) modeling, simulation and analysis.
Related Training Courses
Length: 1 Day
Digital Engineering and Digital Twin Training Workshop Digital Engineering and Digital Twin Training
Length: 2 Days
Fundamentals of Digital Twins Fundamentals of Digital Twins covers the key principles of Digital Twins and how it relates to integration of digital engineering, modeling and simulations, AI/ML, 3D and integration for service and product-related data and systems.
Those who can benefit from this course include government programmatic, functional and technical leadership reviewing, approving, and using technical data to make program, technical and sustainment decisions. These leaders include division chiefs, project managers, program directors, technical directors, lead system engineers, chief engineers, etc.
For more information, questions, comments, contact us.