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Digital Engineering Fundamentals for Programmatic and Technical Leadership

Digital engineering, in its most general sense, marks a new approach to innovation and lifecycle management.

In fact, digital engineering technologies are revolutionizing the engineering industry, leading to better outcomes and performance across the entire life cycle of an asset.

The business benefits of digital engineering are substantial. Digital engineering harnesses modern digital capabilities to improve an organization’s efficiency and value, enhance process sequences, and/or transform end-user experiences.

Also, with the appropriate resource allocation, delivery models, project management and team enablement, digital engineering can create new business opportunities and competitive customer values.

Additionally, digital engineering solutions can also produce a continuous chain of innovation and competitive positioning that evolves alongside customer needs and new technical opportunities.

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

Progressive companies explore strategies for digitization, including introducing digital engineering, which enables people to easily find, use and share trusted data to improve decision making and outcomes for projects.

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 benefits of a digital engineering approach are considerable and include:

  • Improving visualization and stakeholder engagement.
  • Supporting the creation of a value chain that is connected, collaborative and efficient. This contributes to improvements in performance.
  • 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.
  • Allowing the 3D and 4D designs help in constructability reviews.
  • Providing for one source of truth in a federated model between all key players before, during and after the asset creation process.

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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