NASA Systems Engineering: Status and Initiatives

Transcription

1 NASA Systems Engineering: Status and Initiatives presentation to SEDC 17 September 2013 Joe Smith NASA HQ Program Executive for Systems Engineering Page 1

2 Purpose Current Status of Systems Engineering in NASA Challenges of Complexity Inter-Agency Working Group Page 2

3 NASA s Vision NASA s Vision To reach for new heights and reveal the unknown, so that what we do and learn will benefit all humankind. STEREO Page 3

4 Public Benefits of NASA Missions Page 4

5 National Aeronautics and Space Administration Advisory Groups NAC and ASAP Inspector General Chief Financial Officer* Chief Information Officer* Administrator Deputy Administrator Associate Administrator Chief of Staff Associate Deputy Administrator Associate Deputy Administrator for Strategy and Policy Assistant Associate Administrator Chief Scientist Chief Technologist Diversity and Equal Opportunity Legislative and Intergovernmental Affairs* Chief Engineer Chief, Safety and Mission Assurance Education Communications* Chief Health and Medical Officer International and Interagency Relations Small Business Programs General Counsel Mission Support Directorate Human Capital Management Strategic Infrastructure Headquarters Operations NASA Shared Services Center Internal Controls and Management Systems Aeronautics Research Mission Directorate Science Mission Directorate Reporting Structure Administrator Human Exploration and Operations Mission Directorate Space Technology Mission Directorate Ames Research Center Dryden Flight Research Center Glenn Research Center Goddard Space Flight Center Jet Propulsion Laboratory Johnson Space Center Kennedy Space Center Langley Research Center Marshall Space Flight Center Stennis Space Center Procurement Deputy Administrator Protective Services NASA Management Office Associate Administrator Note: * Center functional office directors report to Agency functional AA. Deputy and below report to Center leadership. February 2013 Page 5

6 NASA Centers and Facilities Page 6

7 NASA Aeronautics Fundamental Aeronautics Program Integrated Systems Research Program Airspace Systems Program Aviation Safety Program SVS HUD. Aeronautics Test Program Page 7

8 NASA Science Planetary Science Earth Science Heliophysics Astrophysics Page 8

9 Human Explorations & Operations Space Life & Physical Sciences Research & Applications Division International Space Station Advanced Exploration Systems Launch Services Program Space Communication & Navigation Commercial Spaceflight Development Architecture & Analysis Exploration Systems Human Spaceflight Capabilities Page 9

10 NASA s Systems Engineering Vision A premier Systems Engineering capability widely recognized for its leadership and expertise in the engineering of systems and subsystems to enable NASA to provide leading edge aerospace research, products and services James Webb Space Telescope Page 10

11 NASA s SE Capability Framework Common Technical Processes System Design, Product Realization, and Technical Management Tools and Methods Advanced Tools and Methods NASA SE Handbook and Guides Technical Measures and Assessments Workforce Skills, Competencies, Teamwork, Ethics, Training, Experience Page 11

12 Centers Centers Mission Dir Mission Dir Office of the Chief Engineer SE&I Steering Committee Mission Dir SE Working Group Mission Dir Centers Centers Centers NASA Engineering & Safety Center Centers Centers Centers Centers Centers Page 12

13 SE&I Steering Committee Workforce Alignment/ Teaming/ Development Workforce Strategic Planning Facilitate implementation of NASA Strategic Goals through SE (e.g. affordability, architecting,) Support tailoring of NPRs and project implementation approaches Reviewing/Integrating discipline roadmaps into system capability roadmaps Reviewing studies produced by other entities (e.g. SEWG) Perform trades and studies as requested Identifying specific skill/personnel across Agency for tasks Advisory Group To NASA OCE & EMB Facilitate communication and collaboration Development Training Metrics, trending of leading indicators Model Based Eng SE Working Group Policy, Processes, Standards Guidelines, Handbooks, BOK Communities of Practice Tools and Methodology Training Implementation Assessments Rep External Boards & Orgs NESC SE Tech Discipline Team SE NESC Projects SE Assessments SE NESC Processes Data Mining/Trending Statistics Page 13

14 NASA s SE Capability Common Technical Processes NASA Procedural Requirements Updated April 13 Alignment with Program and Project Management Earlier Formulation Products Tailoring Entry/Exit Criteria Clarified Allows for Model-Based Data Center Implementation In-Process Maintained the 17-Step SE Engine Page 14

15 NASA s SE Capability Tools and Methods NASA Integrated Model Centric Architecture NASA Systems Engineering Handbook Policy Alignment Technology Readiness Asset Protection Page 15

16 NASA s SE Capability Workforce Training Reviewed and Updated Development Programs Throughout All Centers Future Additions to Training Program Planning and Control Model-Based State of the Discipline Initiated Benchmarking and Roadmap to Follow?? Page 16

17 Engineering of Complex Systems End-to-End Design Architecture Integration Man-Machine Interface Legacy/Heritage Systems Multi-Decadel/Generational Life System Monitoring Unknown Risks and Second/Third Order Effects Collaboration amongst many diverse contributors and stakeholders Page 17

18 Example: MSL Entry/Descent/Landing 7 Minutes of Terror Unknown Environmental Conditions Undemonstrated Capabilities Page 18

19 Example: Asteroid Redirect Mission Page 19

20 Example: Earth to Mars Enabling Capabilities Beyond Earth Orbit Crew and Cargo Access In-space Propulsion Ground Operations In-Space Operations Long-Duration Habitation Mobile Exploration Module EVA Systems Precursor Robotics Human-Robotic Interfaces Destination Systems Page 20

21 Engineering Complex Systems: NASA Status Current State: Developing Systems with Traditional SE Processes and Tools Some Programs and Projects are Introducing Model-Based Engineering Ongoing: NASA Integrated Model-Centric Architecture Model-Based Systems Engineering and Program Planning & Control Product/Data Life Cycle Management Training Page 21

22 NASA INTEGRATED MODEL-CENTRIC ARCHITECTURE NIMA

23 NIMA Team Formulation & Composition Originating in and sponsored by HQ OCE Engages the leadership and membership from 4 NASA Communities of Practices Model-Based Systems Engineering (MBSE) Modeling & Simulation (M&S) Program/Product Data & Lifecycle Management (PDLM) Computer-Aided Design (CAD), e-cad and MCAD NIMA Team includes members from all NASA Centers NASA Integrated Model-centric Architecture 23

24 Some problems that challenge NASA future plans are: Mission complexity is growing faster than our ability to manage it Not identifying design or integration problems until late in lifecycle Having to hunt for data or supporting material during mission anomaly resolutions Inability to share models in a collaborative environment Too many design reviews that reviews documents vice the design System design emerges from the pieces, not from an architecture Need Statement To reduce cost and improve schedule, product quality, and workforce performance through timely and well informed decision making, the Agency needs to move from document-centric to a data/model-centric architecture across the agency. NASA Integrated Model-centric Architecture 24

25 NIMA Goals Working within the constrains of our budget and charter, we will generate products that move the agency towards achieving the following goals (presented to EMB 10/13/11): Goal 1: Goal 2: Goal 3: Goal 4: Increase affordability through use of a model-centric architecture Achieve interoperability within and among programs/projects, centers and external partners through use of a model-centric architecture Inform/train invigorate workforce on model-centric architecture Improve product quality and success through use of a model-centric architecture Form of Products: Refined standards, requirements, and guidance for model-centric data exchange & management, and model-centric methodologies Requirements for enabling products (training, IT infrastructure) App Store to facilitate exchange of model-centric practices and technical solutions NASA Integrated Model-centric Architecture 25

26 Document-centric to a Data/Model-centric Architecture Advance from our current documentcentric engineering practice to one in which model-based data representing the technical designs, as well as Program Management & Systems Engineering information, are integrated and evolve throughout the life-cycle, supporting trade studies, design verification and system V&V Future: Model-based data exchange among disciplines, domains, and partners Today: Document driven & standalone models To do this we must: Enhance the ability to share and exchange information Improve workforce knowledge, skills and abilities Facilitate the exchange and adoption of model-based practices and technical solutions Incorporate the use of PM and SE best practices 26

27 What it is and What it s Not What it s Not It is not the selection or creation of a single multi-million dollar tool that is forced on everyone A quick initiative that will instantly spring into being Extra work that would be required of all programs and projects Is not push-the-button and everything pops out does not take the place of sound engineering and management practices Past What it Is Methodologies for the integration of many existing tools, databases and resources Will take time and effort to slowly ingrain the methodologies and practices into the workforce A more efficient and effective way of doing the kinds of things we already do Enhances the ability for projects and systems engineers to perform their real work Future Present All Information in Documents Concepts Requirements Architectures Functional Flows Designs Verifications Validations Information Data Risks Costs Schedules All Information in Models 27

28 NIMA Approach Access to model-centric solutions Definition of required enabling capabilities, e.g. workforce training, IT, The NIMA approach to maturing Model-centric capability is to: Utilize existing capabilities IT infrastructure Process/Practices Standards, NPDs, NPRs Training (SATERN, APPEL) Modify existing capabilities Define new capabilities Train personnel on the need and use of Model-Centric techniques Standards, Requirements, and Guidance for MC Data exchange & management and MC methodologies NASA Integrated Model-centric Architecture 28

29 Continuous Practice NASA Integrated Model-Centric Architecture DRAFT Multi-Year Roadmap Phase 1: Preparation Phase II: Implementation Phase III: Sustaining/Improving Key Activities: Key Activities: Key Capabilities: Establish a common vision Establish an integrated governance structure Develop a Strategic Plan with Needs, Goals and Objectives Develop a detailed roadmap/implementation Plan Establish a model-centric friendly infrastructure that facilitates collaborative activities Perform piloted capabilities for key areas Identify and develop initial standards, policies and processes Develop a cadre of trained users Develop User s guides and handbooks Establish an initial CM controlled model repository Incrementally bring on more capabilities per Implementation Plan Develop/update standards, policies and processes as new capabilities are brought on-line Establish a standard suite of modeling tools and methodologies Populate the CM controlled repository with validated reusable models created from formulation to implementation Train at all levels users, managers, executives Identify what s not working and fix it Identify what is working and duplicate it A fully operational model-centric Infrastructure that enables integration of physical models with domain discipline analytical models, simulations and cost models to support activities throughout lifecycle from concept through disposal A matured model-based development methodology and standards with training support A fully CM controlled operational model repositories that collaboratively managed by projects, lines and Institution Models as well as processes/methodologies are continuously improved and updates as more experience is gained FY11 FY18

30 Engineering Complex Systems: Inter-Agency Cooperation Inter-Agency Working Group for Engineering of Complex Systems Common Understanding of Problems Identified Need to Collaborate, Share Expertise and Resources Page 30

31 IAWG: Agreed Upon Challenges of Complex Systems Capture and Agreement of System Requirements or Attributes Given Broad Stakeholder Community End-to-End Design Architecture Integration Man-Machine Interface Cyber-Physical Systems Legacy/Heritage Systems Multi-Decadel/Generational Life System Monitoring Unknown Risks/Inability to Test in Realistic Environments Technical and Programmatic Collaboration Across the Globe Page 31

32 IAWG: Vision and First Steps Envisioning a future in which large, technologically path-breaking engineering projects are undertaken regularly, are almost always successful, and are routinely accomplished on time and within budget. - Regular Interchanges: Execs to Subject Matter Experts - Collaboration Site - Workshops, Webinars, Publishing Page 32

33 Summary Systems Engineering is Strong and Pervasive Throughout US Future Missions Create BIG Challenges Collaborative Approach to Tackling the BIG COMPLEX PROBLEM is a MUST Page 33