Modeling, Simulation and Analysis Framework (MSAF) August 2013 Bottom Line Up-Front AGI’s MSAF is an open, commercially available environment for rapid and re-usable modeling, simulation and analysis across an enterprise – Multi-domain, mission-driven analytics & modeling (supports Systems of Systems) – Efficient re-use/creation of best of breed GOTs, custom and COTs tools – Automated, scalable analytics for engineering and/or operational decisions – Visually intuitive and robust interrogation and communication tools The MSAF software enables analytics across key elements systems lifecycle – Acquisition, engineering, training & mission operations – Course of Action (COA) development, mission planning and event prediction – Supports program & portfolio decision-making (Cost, Risk, Schedule, Capability….) AGI software has improved efficiencies & effectiveness of analytical decision making – Commercial model driving interoperability, extensibility and total ownership cost advantages – Multiple DOD & industry agencies standardizing on STK – Available and accepted analysis, collaboration and decision-making support tools Pg. 2 of 20 Analytical Graphics introduction Industry standard software – Model your system – Analyze your mission – Convey your results Space Systems C4ISR Offices in US, Europe and Asia Founded in 1989 Missile Defense 40,000+ registered installations 700+ buying organizations STK (FREE Offering) Desktop, server and development API’s UAV & Aircraft Missions RF & Cyber Mission Assurance Systems Engineering – “Call to Action” •… •…. • Enterprise discoverability, consistency & usage • Rapidly composed & executed analysis • Intuitive & interactive decision support • Multi-domain & mission enabled environment • Efficient use of trade studies, simulations & decision calculus •… • Standalone users • Custom tools & models • Lengthy cycle times Pg. 4 of 20 Also see “DMMF – Results of Feasibility Study”, Frank Mullen, 2/21/2013 MSAF Core Goals Model-based enterprise M&S framework – Multi-level, Mission-driven simulation engine – Engineering through campaign-level linkages – Trade studies through Live, Virtual & Constructive simulation Improved enterprise M&S efficiency and effectiveness – Multi-role support for technology SMEs, Systems Engineers, data analysts, decision makers – Scalable & distributed computational environment – Collaboration support – Data discovery Deliver capabilities today which support trends in methods & needs – Re-use capabilities (IP) currently available and in-use within the industry – Allow for industry wide scalability & collaboration – Leverage commercial software before custom SW or FOS, per 2009 DSB Study – Deliver future capability – relying on adaptable API and data models – Support evolution of M&S architectures, tools, models and methodologies Evolve capabilities along a visible, industry-needs-driven path Pg. 5 of 20 Modeling, Simulation, and Analysis Framework (MSAF) Decision Maker • Scenario Design • Analysis / Trade space • Results View System Designer Role-based Web-Portal • Architecture • Definitions • Configurations Decomposition, Integration, and Orchestration Process control, Translation, and Traceabilty Complexity Nth Level Models Correlation Detailed Engineering Aggregation System Performance Abstraction Systems of Systems Nth Level Models Simulation and Analysis Synchronization Environment Temporal and Geospatial State - Commonality Fundamentals and Algorithms Environment and Interaction Behavior and Procedures Data, Models, and Analysis Repository Orchestration Governance: Model Schema, Data Model, Assumptions, and Integration Rules Supplementary Models: Manufacturing, Costing, Optimization, Approximation, and trade algorithms MBSE Architecture System Definitions: Structure and Parametric, Behavior, and Requirements Architecture Execution - (Sequence, State, and Activity) Pg. 6 of 20 Infrastructure Partner • Visual environment for process integration • Graphically link analyses together • Perform trade studies The workflow Define measures of effectiveness Model Pg. 8 of 20 Discover and/or build models Combine into system of systems model Simulate Run simulations and evaluate performance Analyze Convey results Leverage expertise Mission Engineer Design Engineer System Engineer Configuration Mgr IT Manager Decision Makers Modeling Simulation and Analysis Framework Synchronization Tool Integration Capability Acquisition Ops Analysis System Design Pg. 9 of 20 Orchestration Cluster Computing Data Management User-specific Workflows Test & Evaluation Data Interaction Operational Planning Wargaming Training & Rehearsal Video Pg. 10 of 20 The use cases Model-driven, mission-based simulations – – – – – Simulate mission threads Vet system performance in the definition phase Compose system and Systems of Systems models Manage and explore existing tools, data or models Serve interactive analysis to the entire community Applied to: – – – – – – Acquisition decision-making Product development Test and evaluation Training and simulation Course of action planning Operations analysis Pg. 11 of 20 Program Lifecycle Example Verification OA ITF JTP Software Development • • • • • Improved enterprise communication of analysis and results Efficiently and consistently employ model-based analytical methods Discoverable & managed collaboration environment User-driven workflows to improve execution efficiency Provide intuitive results and capability assessment visualizations Pg. 12 of 20 MSAF • • • • • Custom Tools Platform Models Analysis results Data & Scenarios Workflows Portfolio Assessment Link model-based simulation to decision calculus MSAF Reporting Program Portfolio View Block/ Option Priority Status/ Trend Option A Option B Block/Option A Assessment Capability / Requirement Priority Capability X 1 Capability Y 2 Status/ Trend Value Cost Risk Elasticity VV $$ RR EE VV $$ RR EE - Priority Capability Y 1 Capability Z 2 Pg. 13 of 20 Status/ Trend + Cost Risk Elasticity - VV $$ RR EE + VV $$ RR EE MSAF Analysis Block/Option B Assessment Capability / Requirement - Value Value Cost Risk Elasticity VV $$ RR EE VV $$ RR EE Leverage existing GOTs, COTs & custom IP • • • • • • • • • • • • • • • • • • • • • • • • • • COTS Tools Scalable Networks – Qualnet Mathworks - Matlab Anark Core – data file exchange Opnet - NG using HLA Lightwave – IGES,STEP conversion SystemVue by Agilent LabVIEW DOORS IBM Rational HFSS – antenna models Xplane Real Flow – Importing wave motion RTLogic - Channel Simulator Elekrobit - PropSim Rhode & Schwartz–RF Channel Simulator Spirent – GNSS Simulator. CAST - Navigation MSoft Excel, PowerPoint Harpoon 3 Naval Warfare sim. Virtual Sim Tasker - VirtualSim CGF FuzzyTech. Fuzzy Logic Engine Controller Sharepoint - collaboration Pheonix Integation - Model Center ESRI. TruePlanning – Cost estimation system CARPET - a radar simulation tool that generates radar parameters Pg. 14 of 20 GOTS Analysis and Operations Tools & Data • FalconView - comms analysis • DCGS-AF • EADSIM • Navy's Missile Planning Tool by APL • JMPS - by Gnostech • Naval Sim System by Metron • NETWARS - Cyber Hacking • SEAS ( http://teamseas.com/) • NASA SPICE and CCDS • GPS Almanacs • TLE data • BVI - BattleSpace Visualization tool • GDM (INSCOM ) • coming soon.... • ESAMS – by Booz Allen Hamilton • HF RAD - OTH Radar model Hardware/ Software/ Protocols Touch Table Next Computing Scalable Display Technologies Max Vision MS Surface Droid OS Sys ML Magnolia Forge. Google Earth - KML import/export MS Virtual Studio - through JAVA, Com, .NET APIs • TCP/IP API - network based interactions • DIS/HLA/TENA • • • • • • • • • • • NORAD - Operational Risk Assessment tool. • • • • • • • • • • Data Providers, formats and Imagery Scribe Workbench Simulize - Flight Control JP2, NITF, etc DTED, DEM... Navteq - urban data ITU - satellite payload data OCG NMEA AIS Data Shapefile import/export • • • • • • • • Third Party Applications (also sold as a separate product by the source company) Remcom – Urban comms modeling Alion - TIREM VT Mak – SimMetrics AER – Weather Data SDL – Electro Optic Sensor Modeling Satsoft – Antenna Design ASI - Satellite Simulation SAIC – Missile modeling Off the Shelf Plug-ins SolidWorks Product Design System/Mission Simulation • Given design parameters, predicts performance characteristics: • Given performance characteristics, predicts how a system will react to various stimulus over time: • How much will it weigh? • How high can it fly? • What will it cost? • Useful for designing hardware • Wrap your code or use plugins: • Matlab • Mathcad • Excel •Fluent •Nastran Pg. 15 of 20 • ANSYS • LS-DYNA • Price • Seer • CAD • Hit rate? • Access times? • Throughput? • Useful for designing systems • Wrap your code or use plugins: • Flames • Magic Draw •ProModel • Rhapsody • STK •Extend • Vensim • Aceit • Arena Industry Scalability - Current STK customers • DOD • DTRA • OSD / PA&E • DISA • Executive Agent for Space • JFCC Space • JFCC ISR • Joint Navigation Warfare Center • Joint Personnel Recovery Agency • Joint SOC • Missile Defense Agency • US Army • US Army A2C2S • US Army PEO C3T • US Army 513th Military Intelligence • US Army AMRDEC • US Army CERDEC • US Army Electronic Proving Grounds • US Army Europe • US Army Fort Gordon • US Army Fort Huachuca • US Army INSCOM • US Army JITC • US Army JTC: IED Integ. Center • US Army Northcom • US Army Research Lab – SLAD • US Army SMDC • US Army WSMR • US Coast Guard • US Coast Guard C2CEN • US Coast Guard R&D Center • US Marine Corp – MCCDC • US Naval Observatory • US Navy Information Operations Cmd. • US Navy NAVAIR • US Navy NAVNETWARCOM • US Navy NUWC Pg. 16 of 20 • US Navy NAWC • USAF 50th SW, 3 SOPS • US Navy PMRF • USAF AFB – JNIC • US Navy SPAWAR • USAF Vandenberg AFB • US Navy NSWC • USAF Wright Paterson AFB • US Southern Command • US Strategic Command • USAF Cannon AFB • USAF AFSTC • INTEL • USAF Electronic Systems Center • CIA • USAF 21st SW 20th SCS • DIA • USAF 25th Space Range • NGA Squadron • NRO • USAF 453rd Electronic Warfare • NSA Support • ONI – JDISS CMMA • USAF 45th Space Wing • USAF NASIC • USAF 50th SWS 1 SOPS • USAF 601st Tyndall AFB • LABS/FFRDCs • USAF 918th Armament Systems • Institute for Defense Analysis Group • Johns Hopkins APL • USAF A5XS • Lawrence Livermore Natl. Lab • USAF A9HQ • Los Alamos National Lab • USAF AFOTEC • MIT Lincoln Lab • USAF Technical Applications • MITRE • Pacific Northwest National Lab Center • USAF Arnold AFB • Penn State APL • USAF Buckley AFB • Sandia National Lab • USAF Det 1, 392nd Training • Space Dynamics Lab Squadron • The Aerospace Corporation • USAF Eagle Vision • USAF Research Lab – Rome • USAF Florida Air Natl. Guard • USAF Research Lab – WPAFB • USAF Germany • USAF Research Lab – Kirkland • USAF Holloman AFB AFB • USAF Kirkland AFB • USAF SMC/SS (MDA) • Civil Agencies • USAF NORAD • DHS • USAF Patrick AFB • Federal Aviation Administration • USAF Pentagon • FCC • USAF Peterson AFB • NASA AMES • USAF Schriever 50th Ops Group • NASA Dryden • USAF 50th SW, 1SOPS • NASA Glenn • USAF 50th SW, 2 SOPS • NASA Goddard • USAF AFSPC • NASA Jet Propulsion Lab . • NASA Johnson • NASA Kennedy • NASA Langley • NASA Marshall • NASA Stennis • NASA Wallops • NOAA • GeoEye • Gray Research • Harris Corporation • Honeywell • Huntington Ingalls • InDyne, Inc. • ITT Exelis • L-3 Communications • Commercial Supporting DoD • Lockheed Martin • Accenture • Mantech International • Aerojet • MDA Federal • Aerospace Testing Alliance • Miltec Corporation • AeroVironment • MTSI • Alion Science & Technology • Northrop Grumman • Alliant Techsystems • Orbital Sciences • Apogee Integration • Pratt & Whitney Rocketdyne • Applied Defense Solutions • Raytheon Company • Applied Minds • Rockwell Collins • Applied Research Associates • RT Logic • ARES Corporation • SAIC • ARINC • Scitor • ATK (Alliant Techsystems) • Serco • Aurora Flight Sciences • Sierra Nevada Corporation • BAE Systems • Skybox Imaging • Ball Aerospace & Technologies • SkySentry • BIT Systems • Solers, Inc. • Boeing • Sonalysts • Booz Allen & Hamilton • Southwest Research Institute • Brashear • Spectral Sciences • Braxton Technologies • SRA • CAST Navigation • SRI International • Cobham Analytic Solutions • TASC • COLSA Corporation • Teledyne • Computer Science Corporation • Textron Defense Systems • Cubic Defense Systems • The SI Organization • DigitalGlobe • Trimble Navigation Ltd. • DRS Tactical Systems • Ultra Electronics, ProLogic • Dynetics • United Launch Alliance • EMSolutions • United Space Alliance • General Atomics • UTC Aerospace Systems • General Dynamics • ViaSat, Inc. MSAF Functional Capability Roadmap Collaborative multi-access, multi-role environment – Web-accessible, cloud-utilized, virtual instantiations Integration, Aggregation, and Abstraction – Access and integration of disparate and distributed models Problem-space decomposition and model orchestration – Model assembly via information/data model mappings Common, synchronized simulation infrastructure – Temporal and spatial state management Composite Execution and Simulation – Complex trade space analysis (cost, capability, resiliency (risk), etc.) – What-if, mission architecture/course-of-action discovery and assessment Data discovery, management, and evolution – Searchable, scalable and federated configuration managed repositories Pg. 17 of 20 Video 2 Pg. 18 of 20 Question for the Audience What are among the most used GOTs tool(s) in your organization? Pg. 19 of 20 Wrap-up Our mission is as an industry resource to enhance Engineering productivity Your feedback is needed Your collaboration is welcome Your support is desired Questions??? Pg. 20 of 20 Use Cases USMC – Radar Acquisition Trade Study Background Marine Corps artillery regiment upgrade “Firefinder” radar system to G/ATOR system. Initial approach was 1:1 replacement (38 systems). Approach • Use STK to conduct Counter Battery Radar (CBR) study. Insert image here • Incorporate optimal system placement. • Assess effectiveness against threat scenarios Outcome • >25% reduction in number of systems required (38 28) • Saved $295M excluding reduction in operational costs Pg. 22 of 20 Airborne ISR Study Systems Engineering HEADQUARTERS U.S. AIR FORCE A9 Problem – Determine optimal mix of airborne assets to improve kill-chain effectiveness What ISR investments should the Air Force make? <? Solution – STK sensors, platforms, scenarios, visualizations combined with in-house models via MATLAB and Ruby Outcome – Reduced typical study time from one year to one month “STK has enabled A9 to quickly respond to some of the most challenging questions in the DoD.” — Timothy Booher, senior analyst, USAF Pg. 23 of 20 Command ,Control, Battle Management and Communications Trainer C2BMC Trainer Problem: The Missile Defense National Team is building a C2BMC training system that will teach operators to make quick and accurate threat engagement decisions Solution: STK software is used to generate trajectories and missile tracks from realistic sensors to be played into the C2BMC operational systems Outcome: STK scenarios can be easily constructed to train the C2BMC user. The solution is deployed to STRATCOM AGI COTS technology allowed the MDNT to build an operational trainer in months, on time and budget with minimal risk Pg. 24 of 20 Naval Strike and Air Warfare Center Improved Training – NSAWC Problem: Manually intensive procedures for pre-flight planning and post-flight learning Solution: Use STK MSAF for accurate, efficient and visually intuitive learning experience Outcome: Integrated training mission model that allows instructors to model all aspects of the flight and review outcomes with students using a dynamic 3D environment. “Cost avoidance for re-flys and mission failure is off the charts” Pg. 25 of 20 (Retired Naval Aviator)