The Joint Simulation and Modelling for Analysis, Requirements, Training, and Support SMARTS Initiati

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The Joint Simulation and Modelling for Analysis,
Requirements, Training, and Support (SMARTS)
Initiative A Vision for enabling Strategy
2020 through the application of Modelling
Simulation in DND

• JSMARTS Workshop
• 16/17 June 2004
• Mark Espenant

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Outline

• Background
• Define MS, SMARTS, SEBA
• Synthetic Environments in MAS
• The need for a DND-wide Vision
• Stakeholders
• The Vision
• Enabling Strategy 2020
• The way ahead

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Definitions - Model

• Model
• A model is a physical, mathematical, or otherwise
  logical representation of a system, real world
  entity, phenomenon, or process.

Mock-up of future Armoured Fighting Vehicle crew
station
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Definitions

• Model
• A model is a physical, mathematical, or otherwise
  logical representation of a system, real world
  entity, phenomenon, or process.
• Simulation
• A simulation is the implementation of a model
  over time. Humanin-the-loop (HITL) simulations
  are commonly referred to as simulators.

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Definitions - Simulation
Medium-fidelity full-motion AFV simulation
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Definitions

• Model
• A model is a physical, mathematical, or otherwise
  logical representation of a system, real world
  entity, phenomenon, or process.
• Simulation
• A simulation is the implementation of a model
  over time. Humanin-the-loop (HITL) simulations
  are commonly referred to as simulators.
• Synthetic Environment
• The linkage of models, simulations, people (real
  or simulated), equipment (real or simulated) into
  a common representation of the world.

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Definitions Synthetic Environment
Virtual environment with computer-generated
terrain, enemy forces, and weather, and linkage
to other simulations
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High Technology?
So, a simulation has to be expensive to buy and
operate?
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MS vs SE?
MS
SE
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MS vs SE?
MS
SE
SE
SE
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Definition - SMARTS
Simulation Modelling for Analysis,
Requirements, Training, Support
Disposal
Pre-Acquisition
Acquisition
In-Service
Life CycleManage Support
ID
OptionsAnalysis
Definition
Implementation
Dispose
Training Rehearsal
Synthetic Environment
Synthetic Environment
Synthetic Environment
Synthetic Environment

• Shared Models Simulations of System
• Common system model
• Consistent scenarios, measures
• Increased quality of analysis
• Decreased analysis time

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Definitions - SEBA
Synthetic Environment Based Acquisition
Pre-Acquisition
Acquisition
Disposal
In-Service
Life CycleManage Support
ID
OptionsAnalysis
Definition
Implementation
Dispose
Training Rehearsal
Synthetic Environment
Synthetic Environment
Synthetic Environment
Synthetic Environment
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Systems Engineering in SEBA
Systems Engineering Process
Studies
System Level Simulation
Mission Analysis
Mission/ConceptStudies
RequirementsAnalysis
RequirementsStudies
Synthetic Environment
Function Analysis/Alloc
Functional Studies
DesignSynthesis
Design Studies
Development
VV Studies
DesignTest and Eval
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Benefits of MS

• Run complex and sophisticated analysis quicker,
  cheaper (?), repeatable, many times!
• Experiments that would be dangerous,
  environmentally impossible or prohibitively
  expensive
• Evaluate prototype systems and operator
  performance before constructing for real
• Test different versions rapidly and sequentially
  under exact same conditions

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Current MS Use in DND

• Grassroots application of MS to different
  phases of acquisition by DRDC, CFEC, and
  procurement projectsas opportunities, resources,
  and skill sets permit
• Not coordinated or applied to whole acquisition
  cycle
• Resulting duplication of effort and proliferation
  of models and simulations that are not modular,
  do not conform to DND/CF standards (where they
  exist), and are not re-usable by other groups

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The Need for a DND Wide Vision

• Acquisition is only a component of full
  application spectrum
• Must leverage and re-use simulations where
  appropriate
• Must be conducted in co-ordination with up
  stream and down stream applications of
  synthetic environments
• Must apply processes compatible with other
  stakeholders
• Involves interaction with Industry through PWGSC
  interface using digital models of candidate
  solutions.

A DND wide vision must be developed to help frame
the MAS community application of synthetic
environments.
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Stakeholders

• Synthetic Environment Working Group
• SE Coordination Offices
• DND SECO Army, Maritime, and Air SECOs
• Experimentation Centres
• CFEC, AEC, Maritime Warfare Centre, etc.
• Research and Development Centres
• DRDC Directorates and Sections
• Operational Training Centres
• Industry
• Simulation Interoperability Standards
  Organization (SISO)

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The Vision

• The DND/CF will exploit Modelling Simulation,
  incorporating Synthetic Environments (SEs) as the
  primary enabling technology, to effectively meet
  strategic objectives. SEs will merge the real
  and virtual worlds in ways that empower leaders
  to visualize the future, analyze decision
  alternatives, and prepare for operations
  throughout the spectrum of conflict. In order to
  maximize effectiveness and optimize efficiency,
  DND/CF SEs will be centrally coordinated to
  achieve appropriate levels of validation,
  standardization, and modular development for use
  and reuse in a distributed environment. The
  establishment and management of this MS-based
  capability shall be called the Joint Simulation
  and Modelling for Acquisition, Requirements,
  Training and Support (SMARTS) Initiative. Its
  realization shall result in a world-class
  achievement of the complete integration of
  modelling and simulation into a Joint defence
  community.

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Enabling Strategy 2020

• Modelling and Simulation will
• explore, develop, and demonstrate the potential
  of Innovative Paths, by visualizing preferred
  outcomes
• provide operational training in realistic
  scenarios for Decisive Leaders
• provide analytical rigour and flexibility to
  exploring future concepts, force structure,
  equipment capabilities, and technologies for
  Modernization
• ensure the CF is Globally Deployable by assessing
  the deployability and combat effectiveness of new
  equipment
• conduct exercises with allies in potential
  theatres for mission training, course of action
  analysis, and rehearsals to allow the CF to be
  Interoperable
• show Canadians first hand that the CF is a Career
  of Choice
• enhance Strategic Partnerships through Joint
  planning simulation exercises in realistic
  scenarios
• achieve Resource Stewardship by providing a
  comprehensive approach to responding to change

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The Key, not the panacea

• Use of MS is not always appropriate
• Must be supported by Cost-Benefit Analysis
• Must consider appropriate VVA
• However
• Total life cycle cost influenced 28 by
  acquisition costs, but 60 by operations and
  logistics
• 70 of life cycle costs locked in by early
  decisions can be heavily influenced by MS
  analysis
• Re-use of models, terrain databases, scenarios to
  ensure consistent analysis and minimum cost

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Status of the MS Vision

• MS Working Group continues
• Vision endorsed by ADM (Mat)

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The Way Ahead

• SMARTS Workshoptoday!
• Present Vision
• Presentations by industry and government
• Gather feedback
• Create Enterprise MS Plan
• Consultation and agreement by working group

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Questions?