Digital Engineering in Complex Systems From Leadership Understanding

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 INCOSE January 2017| Page-1 Distribution Statement A – Approved for public release by DOPSR. Distribution is unlimited.

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 Focus on Technical Excellence Deliver Technologically Superior Capabilities Grow and Sustain our S&T and Engineering Capability INCOSE January 2017| Page-2 Distribution Statement A – Approved for public release by DOPSR. Distribution is unlimited.

Defense Systems Engineering Challenge Critical attributes of Do. D 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 Do. D Military and Civilian Engineers engaged with industry, academia and allied partners INCOSE January 2017| Page-3 Distribution Statement A – Approved for public release by DOPSR. Distribution is unlimited.

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 INCOSE January 2017| Page-4 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 Distribution Statement A – Approved for public release by DOPSR. Distribution is unlimited.

Digital Engineering: MBSE approach for Do. D 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 INCOSE January 2017| Page-5 Future: Digital Engineering Ecosystem Distribution Statement A – Approved for public release by DOPSR. Distribution is unlimited.

Leveraging Multiple Activities to Advance Digital Engineering Within Do. D Other Partnerships Do. D Initiatives Infusion in Policy & Guidance http: //www. acq. osd. mil/se/pg/guidance. html Do. DI 5000. 02, Enclosure 3, Section 9: Modeling and Simulation Digital Engineering Working Group Do. D Digital Engineering Working Group (DEWG) Defense Acquisition Guidebook Chapter 4 USAF Own the Technical Baseline DSM Taxonomy: Defining categories of data across acquisition NDIA: Essential Elements of the System Model Do. D Digital Engineering Fundamentals Additive Manufacturing SERC: Model Centric Collaborative Environment Defense Acquisition University Inter-Agency Working Group Engineered Resilient Systems: Adapting to changing requirements HPCMP CREATE: Physics Based Modeling NASA: Sounding Rocket Program Advancing the state of practice for Digital Engineering within Do. D INCOSE January 2017| Page-6 Distribution Statement A – Approved for public release by DOPSR. Distribution is unlimited.

Engineered Resilient Systems: Transitioning Tools And Technologies ERS LEVERAGES YEARS OF MAJOR DOD S&T INVESTMENTS ADVANCED MODELING SIMULATION HIGH PERFORMANCE COMPUTING MATHEMATICAL OPTIMIZATION OPEN & TRUSTED SYSTEMS INTEGRATED CAPABILITY OPEN ARCHITECTURE LIFECYCLE IMPLEMENTATION INTELLIGENCE & MODELING DATA ACCESS & RETENTION MULTI-DIMENSIONAL TRADESPACE ANALYTICS HIGH Linked to PERFORMANCE Acquisition COMPUTING Processes BIG DATA ANALYTICS & VISUALIZATION MODELS KNOWLEDGE MANAGEMENT SECURITY IP PROTECTION 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 Do. D Acquisition environments INCOSE January 2017| Page-7 Distribution Statement A – Approved for public release by DOPSR. Distribution is unlimited.

Digital Engineering Strategy 4 5 Foster the integration of models and data sources across functional disciplines to inform enterprise and program decision making Establish supporting infrastructure & environments to perform engineering activities, collaborate, &communicate across stakeholders 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 INCOSE January 2017| Page-8 4. M od el s 3. & DIGITAL ENGINEERING ECOSYSTEM In En fra vi str ro u nm ctu en re ts & Distribution Statement A – Approved for public release by DOPSR. Distribution is unlimited. In te g Da rat ta es So ur ce Te In chn no o va log tio ic n al 3 Formalize development and use of models for providing an enduring authoritative source of truth 1. Culture/ Workforce 5. 2 Develop and maintain a culture and workforce that adopts, supports and applies Digital Engineering across the lifecycle 2. So Au ur tho ce ri of tati Tr ve ut h 1 s

A Holistic View of Digital Engineering Support to Do. D Acquisition ACQUISITION MILESTONE DECISIONS Digital Engineering Ecosystem SYSTEMS ENGINEERING TECHNICAL REVIEWS T AN ES ALYS TRAD IS, RE P / S / C QUIREMENTS, DEFENDABLE COS Probabilistic analysis of margins, uncertainties, and risks Digital Engineering Ecosystem CAPE/CADE Analysis of cost, schedule, and aligned analysis of Total Ownership performance, affordability, risk, Costs and risk mitigation S e y th s f End to End Single, Autho o tem Over the Lifecyc rit entation le Digital Saytive, Digital Repres. Thread / Digital Twin stem Model / Digital Engineering Standards Requirements Data 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 Design & Mfg Data Engineering Knowledge Management Test Data Supply Data Maintenance Data Operational Data TECHNICAL DATA MANAGEMENT INCOSE January 2017| Page-9 Distribution Statement A – Approved for public release by DOPSR. Distribution is unlimited. Engineering Competence Data Base

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? INCOSE January 2017| Page-10 Distribution Statement A – Approved for public release by DOPSR. Distribution is unlimited.

Systems Engineering: Critical to Defense Acquisition Defense Innovation Marketplace DASD, Systems Engineering http: //www. defenseinnovationmarketplace. mil http: //www. acq. osd. mil/se INCOSE January 2017| Page-11 Distribution Statement A – Approved for public release by DOPSR. Distribution is unlimited.

Transition to Digital Engineering INCOSE January 2017| Page-12 Distribution Statement A – Approved for public release by DOPSR. Distribution is unlimited.