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BMT Technical Acquaint -
Simulation for Decision
Support
Aidan Depetro
Modelling & Decision Support Lead
November 2016
DES in Defence
• Simulation in Defence
• Decision Support in Defence
• DES Benefits
• Defence Applications
• Modelling Process
• Project examples,
demonstration and Q&A
Overview
• Training / Synthetic Environments
• Tactical / mission simulators
• War gaming / virtual battle space
Simulation in Defence
• Computational Fluid Dynamics (CFD)
• Finite Element Analysis (FEA)
• Context:
− Options analysis / Business case
development
− Acquisition Support
− Process Improvement/Optimisation
• Objectives:
− Defensible decisions
− Value for money
− Minimal risk
• Methods:
− Cost-benefit analysis
− Multi-Criteria Decision Analysis
− Spreadsheet based models
− Simulation?
Decision Support in Defence
• Significantly higher fidelity than traditional
spreadsheet models:
− More information, less approximation
− Greater complexity scalability
− Visual representation of system / process
/ results
− Superior advice and insights
• Comparable development effort to
spreadsheet models
• A multitude of options and variables can be
trialled with minimal effort
• Cost is linked directly with the process
• Simulations can be viewed in fast or slow
time, paused, replayed and reset
Discrete Event Simulation vs Spreadsheets
In practice, simulation can provide decision support across the asset lifecycle:
Defence Applications
Requirements
specification, concept
development
Tender evaluation,
schedule/program
planning
Maintenance planning
and optimisation,
training and support
facility specification
Future demand/supply
analysis
• Complex problems on the way:
− Record spending in Defence and Navy
− Concurrent complex platform acquisitions
in the next 20 years
− Unique and difficult program management
and wider strategic challenges ahead
• Industry and tools are capable:
− Simulation software is becoming a more
and more powerful tool
− Growing application of simulation best
practice to the Defence sector
− Industry’s simulation capability in Australia
is emerging
Why now?
• Model development process:
− Define requirements and
customer objectives
− Data collection and analysis
− Model development
− Verification & Validation
− Simulation of options/scenarios
− Results Analysis
− Recommendations
• Customer tool development
− To enable customer to conduct
their own simulations/what-if
analysis
Modelling Process
Requirements Capture and
Model Scope Definition
Data Collection and Analysis
Model Verification and
Validation (V&V) / Testing
Model Results Output and
Reporting
Model Architecture and
Functional Development
Rectification of errors/faults
Master Data and
Assumptions List
(MDAL)
Report,
recommendations
Options Analysis
Ship specs
Shore facility specs
Channel, basin geometry
Weather/tide data
Operational data
Option 1
Option 2
Option 3
Other improvement options
• Key tenets of approach:
− Consultative
− Transparent and traceable
• Data driven
• Assumptions and limitations defined
− Comprehensive, but comprehendible
− Allows decision makers to own their
decision
Best Practice Approach
Concept Demonstrator:
Future Build Programs
Concept Demonstrator:
Class Transition / Manpower Balancing
Copyright Statement
Copyright © 2016 by BMT Design & Technology
All rights reserved. No part of this publication may be reproduced,
distributed, or transmitted in any form or by any means, including
photocopying, recording, or other electronic or mechanical methods,
without the prior written permission of BMT Design & Technology.
Where content has not been produced by BMT Design & Technology, we
have sought the appropriate authorisation for its use and does not
constitute an infringement of copyright.

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Simulation for Decision Support - BMT Technical Acquaint

  • 1. BMT Technical Acquaint - Simulation for Decision Support Aidan Depetro Modelling & Decision Support Lead November 2016 DES in Defence
  • 2. • Simulation in Defence • Decision Support in Defence • DES Benefits • Defence Applications • Modelling Process • Project examples, demonstration and Q&A Overview
  • 3. • Training / Synthetic Environments • Tactical / mission simulators • War gaming / virtual battle space Simulation in Defence • Computational Fluid Dynamics (CFD) • Finite Element Analysis (FEA)
  • 4. • Context: − Options analysis / Business case development − Acquisition Support − Process Improvement/Optimisation • Objectives: − Defensible decisions − Value for money − Minimal risk • Methods: − Cost-benefit analysis − Multi-Criteria Decision Analysis − Spreadsheet based models − Simulation? Decision Support in Defence
  • 5. • Significantly higher fidelity than traditional spreadsheet models: − More information, less approximation − Greater complexity scalability − Visual representation of system / process / results − Superior advice and insights • Comparable development effort to spreadsheet models • A multitude of options and variables can be trialled with minimal effort • Cost is linked directly with the process • Simulations can be viewed in fast or slow time, paused, replayed and reset Discrete Event Simulation vs Spreadsheets
  • 6. In practice, simulation can provide decision support across the asset lifecycle: Defence Applications Requirements specification, concept development Tender evaluation, schedule/program planning Maintenance planning and optimisation, training and support facility specification Future demand/supply analysis
  • 7. • Complex problems on the way: − Record spending in Defence and Navy − Concurrent complex platform acquisitions in the next 20 years − Unique and difficult program management and wider strategic challenges ahead • Industry and tools are capable: − Simulation software is becoming a more and more powerful tool − Growing application of simulation best practice to the Defence sector − Industry’s simulation capability in Australia is emerging Why now?
  • 8. • Model development process: − Define requirements and customer objectives − Data collection and analysis − Model development − Verification & Validation − Simulation of options/scenarios − Results Analysis − Recommendations • Customer tool development − To enable customer to conduct their own simulations/what-if analysis Modelling Process Requirements Capture and Model Scope Definition Data Collection and Analysis Model Verification and Validation (V&V) / Testing Model Results Output and Reporting Model Architecture and Functional Development Rectification of errors/faults Master Data and Assumptions List (MDAL) Report, recommendations Options Analysis Ship specs Shore facility specs Channel, basin geometry Weather/tide data Operational data Option 1 Option 2 Option 3 Other improvement options
  • 9. • Key tenets of approach: − Consultative − Transparent and traceable • Data driven • Assumptions and limitations defined − Comprehensive, but comprehendible − Allows decision makers to own their decision Best Practice Approach
  • 12. Copyright Statement Copyright © 2016 by BMT Design & Technology All rights reserved. No part of this publication may be reproduced, distributed, or transmitted in any form or by any means, including photocopying, recording, or other electronic or mechanical methods, without the prior written permission of BMT Design & Technology. Where content has not been produced by BMT Design & Technology, we have sought the appropriate authorisation for its use and does not constitute an infringement of copyright.