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Digital Engineering Fundamentals for Programmatic and Technical Leadership

Digital engineering is the art of creating, capturing and integrating data using a digital skillset.

From drawings to simulations and 3D models, engineers are increasingly using advanced technologies to capture data and craft design in a digitized environment.

Through progressive applications, the art of digital engineering enables designers to explore possibilities and develop innovative solutions in a virtual environment.

While 3D models are considered as the most comprehensible form of digital engineering, it is the computable data behind the model that opens the window to vast possibilities and opportunities.

Once the design is finished, the digital information can be utilized by the construction and operations teams, allowing them to unlock its potential by manipulating the data for their advantage and for the community they are building for.

For organizations and digital engineers it’s crucial to understand that the processes inherent in digital engineering are continuously evolving. As the supporting technologies and costs of cloud processing and storage are developing at an exponential rate, disruption to the traditional practices will always persist.

The newest technologies today may soon become outdated, and will eventually be replaced by faster and more efficient tools that will change the way we design and deliver projects.

Also important is the acknowledgement that going digital doesn’t mean that the fundamental principles of engineering are out of date – they are just enhanced by technology. Curriculums for engineering students will still revolve around the classic engineering principles, supplemented with teachings on how and when to use digital tools.

The benefits of digital engineering are considerable such as the ability to create 3D models that enhance the analysis of geotechnical elements, help in clash and issues resolution, and enable the development of virtual and augmented reality (VR/AR) solutions.

DE also supports the creation of a value chain that is connected, collaborative and efficient. This of course contributes to improvements in performance, allowing for one source of truth in a federated model between all key players before, during and after the asset creation process.

Additionally 3D and 4D designs help in constructability reviews and go a long way to improve visualization and stakeholder engagement.

One of the most immediate and useful aspects of digital engineering is creating a foundation for a digital twin. A digital twin is a dynamic digital representation of a real asset or system that is used to collect, understand, predict and optimize performance.

Digital Engineering Fundamentals Course by Tonex

Digital Engineering Fundamentals for Programmatic and Technical Leadership is a 1-day training program for technical leaders.

Digital Engineering Fundamentals for Programmatic and Technical Leadership, Online; A broad survey course to provide the fundamental concepts of Digital Engineering (DEng) method delivered virtually.

Digital Engineering (DEng) is the advanced computerization of systems engineering and program acquisitions practices. Digital engineering enables organizations and government agencies to create complex, latticed systems of products, services, and capabilities more quickly and effectively from within a digital ecosystem.

Participants will learn about the holistic approach to analytics underpins dynamic system and system of systems (SoS) modeling, simulation, and analysis.

Target Audience(s)

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.

Functional leads can include system engineering, chief engineering, test and execution, quality, mission assurance, logistics, safety, and all other disciplines over the system engineering lifecycle. The engineering environment belongs to the program manager; the performance of the actual tasks maybe delegated to the program systems engineer and other program staff as appropriate.

Learning Objectives

To expose and level-set participants to important DEng concepts, including formalizing the development, integration and use of models to inform enterprise and program decision making, incorporating technological innovation, supporting infrastructure and environments to perform activities, collaborate, and communicate across stakeholders, and adopting and supporting a digital engineering culture and workforce across the lifecycle.

Course Outline

  • Overview of Digital Evolution
  • Digital Engineering Principles
  • Disruption to the Traditional Practices
  • Supporting Infrastructure and Environments to Perform Activities, Collaborate, and Communicate Across Stakeholders
  • Transform the Culture and Workforce to Adopt and Support Digital Engineering across the Lifecycle
  • Overview of Technological Innovation to Improve the Digital Engineering Practice
  • Digital Engineering Methods, Processes, and Tools
  • Acquisition Practices, Requirements, and Contracted Activities
  • Requirements, Acquisition, Test, Cost, Sustainment, and Intelligence
  • Development, Integration and Use of Modeling and Simulation

 

Digital Engineering Fundamentals for Programmatic and Technical Leadership

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