Acting Deputy Assistant Secretary of Defense for Systems Engineering Digital Engineering in Complex Systems: From Leadership Understanding Through Application Ms. Kristen Baldwin Acting Deputy Assistant Secretary of Defense for Systems Engineering INCOSE January 28, 2016

Defense Research &Engineering Strategy Mitigate current and anticipated threat capabilities Enable new or extended capabilities affordably in existing military systems Create technology surprise through science and engineering The reasons behind our need to do business – differently in the future. Where do we find the next technological edge? We need to apply all of our technical, systems engineering, and research skills – Think ‘architecturally’ Focus on Technical Excellence Deliver Technologically Superior Capabilities Grow and Sustain our S&T and Engineering Capability

Defense Systems Engineering Challenge Critical attributes of DoD Systems Engineering: Flexible designs that adapt with innovation, and are resilient to unknown missions and threats Ability to quantify cost and affordability attributes of the design and lifecycle trade space Systems of Systems, and Enterprise contexts driving requirements from multiple stakeholders Responsive, and able to balance agility with rigorous analysis and data Safeguarding critical information while designing for interoperability and global use Applied across significantly diverse domains Balancing these attributes is challenging to SE, drives the state of the practice, and stresses critical organic workforce capacity 108,000 DoD Military and Civilian Engineers engaged with industry, academia and allied partners

Interagency Working Group for Engineering of Complex Systems Interagency Cooperation Develop common understanding of problems Collaborate, share expertise and resources Position Paper at: http://www.acq.osd.mil/se/outreach/pubs.html Participants: National Science Foundation National Aeronautics and Space Administration National Oceanic and Atmospheric Administration Department of Defense National Institute of Standards and Technology Department of Energy Department of Transportation Department of Homeland Security Federal Aviation Administration Veterans Administration IAWG Study of Model Based SE Benefits: Informed decision making through increased transparency and greater insight Enhanced communication Understood flexibility/adaptability in the capability Increased confidence that the capability will perform as expected Increased efficiency

Digital Engineering: MBSE approach for DoD Current State Our workforce uses stove-piped data sources and models in isolation to support various activities throughout the life-cycle Current practice relies on standalone (discipline-specific) models Communication is through static disconnected documents and subject to interpretation Future State Digital Engineering moves the engineering discipline towards an integrated model-based approach Through the use of digital environments, processes, methods, tools, and digital artifacts To support planning, requirements, design, analysis, verification, validation, operation, and/or sustainment of a system Digital Engineering ecosystem links our data sources and models across the lifecycle Provides the authoritative source of truth Current: Stove-piped models and data sources Future: Digital Engineering Ecosystem

Leveraging Multiple Activities to Advance Digital Engineering Within DoD Infusion in Policy & Guidance DoD Initiatives Other Partnerships http://www.acq.osd.mil/se/pg/guidance.html DoDI 5000.02, Enclosure 3, Section 9: Modeling and Simulation Digital Engineering Working Group DoD Digital Engineering Working Group (DEWG) USAF Own the Technical Baseline Defense Acquisition Guidebook Chapter 4 DSM Taxonomy: Defining categories of data across acquisition NDIA: Essential Elements of the System Model DoD Digital Engineering Fundamentals Additive Manufacturing SERC: Model Centric Collaborative Environment Inter-Agency Working Group Engineered Resilient Systems: Adapting to changing requirements NASA: Sounding Rocket Program HPCMP CREATE: Physics Based Modeling Defense Acquisition University Advancing the state of practice for Digital Engineering within DoD

Engineered Resilient Systems: Transitioning Tools And Technologies ERS LEVERAGES YEARS OF MAJOR DOD S&T INVESTMENTS ADVANCED MODELING OPEN & TRUSTED SYSTEMS HIGH PERFORMANCE COMPUTING MATHEMATICAL OPTIMIZATION SIMULATION INTEGRATED CAPABILITY OPEN ARCHITECTURE IMPLEMENTATION MULTI-DIMENSIONAL TRADESPACE ANALYTICS MODELS LIFECYCLE INTELLIGENCE & MODELING HIGH PERFORMANCE COMPUTING Linked to Acquisition Processes BIG DATA ANALYTICS & VISUALIZATION DATA ACCESS & RETENTION KNOWLEDGE MANAGEMENT IP PROTECTION SECURITY TECHNOLOGIES PROVED TO IMPACT DECISION-MAKING WITHIN CURRENT ACQUISITION PROCESSES Engineered Resilient Systems (ERS) is the first integration of modern computational engineering tools and technologies that directly impact DoD Acquisition environments

Digital Engineering Strategy Develop and maintain a culture and workforce that adopts, supports and applies Digital Engineering across the lifecycle 1 1. Culture/ Workforce Formalize development and use of models for providing an enduring authoritative source of truth 2 2. Authoritative Source of Truth Models & Data Sources 3. Integrates Foster the integration of models and data sources across functional disciplines to inform enterprise and program decision making 3 DIGITAL ENGINEERING ECOSYSTEM Establish supporting infrastructure & environments to perform engineering activities, collaborate, &communicate across stakeholders 4 4. Infrastructure & Environments 5. Technological Innovation Leverage advanced tools, computing power, and advanced capabilities to improve system capabilities, automate workflow processes (as applicable) and generate digital artifacts and deliverables using models 5

A Holistic View of Digital Engineering Support to DoD Acquisition Design & Mfg Data Test Data Supply Data Operational Data Engineering Knowledge Management Assembly of multi-domain, multi-physics, multi-level, constructive and virtual component and system analysis tools operating on engineering data to support acquisition and sustainment End to End Single, Authoritative, Digital Representation of the Over the Lifecycle System Digital Thread / Digital Twin Probabilistic analysis of margins, uncertainties, and risks Analysis of cost, schedule, and performance, affordability, risk, and risk mitigation CAPE/CADE aligned analysis of Total Ownership Costs c/s/p trades Cost Analysis, Requirements, defendable Technical data Management Engineering Competence Data Base Maintenance Data Standards Requirements Data Digital System Model / Digital Engineering Ecosystem Acquisition Milestone decisions Systems Engineering technical reviews

Summary Changes are required to cultural, historical and business processes to realize a Digital Model-Based Engineering Vision We seek to learn from what is already working in Government and Industry, and share these practices and experiences We need to highlight crisp examples to facilitate broad change, emphasizing how programs have benefitted from Digital Engineering Some challenging areas requiring further exploration Have we properly divided tasks between humans and computers? How do we implement practices without becoming overly dependent on the tools? How do we adapt legal and procurement regulations to fully enable digital engineering? How do systems engineering processes evolve as digital engineering technology is implemented? Configuration management, security, technical reviews, etc. What is the full scope of opportunity from digital engineering? What are the impacts realized when bridging across design, prototyping, test and evaluation, manufacturing and sustainment activities?

Systems Engineering: Critical to Defense Acquisition Defense Innovation Marketplace http://www.defenseinnovationmarketplace.mil DASD, Systems Engineering http://www.acq.osd.mil/se

Transition to Digital Engineering