Frontiers in Design and Simulation Workshop 2008 PSLM

Frontiers in Design and Simulation Workshop 2008 PSLM Center, Georgia Tech, Atlanta May 14, 2008 Sys. ML Parametrics and Progress Towards Multi-Solvers and Next-Generation Object-Oriented Spreadsheets Manas Bajaj manas. bajaj@intercax. com Dirk Zwemer dirk. zwemer@intercax. com Inter. CAX www. Inter. CAX. com v 2

Contents u Complex systems & Inter. CAX technology u Sys. ML parametrics u Illustrative scenarios – Little. Eye: An unmanned aerial vehicle system – Financial projections system u Lessons learnt u Next-generation spreadsheets? Copyright Inter. CAX – All rights reserved

Complex Systems Mechatronics / Integrated Electronics www. ap 210. org Copyright Inter. CAX – All rights reserved

Tsunami detection system A Complex System Dec 24, 2006 Tsunami 150, 000 dead, millions injured Click here National Oceanic and Atmoshpheric Administration http: //www. ndbc. noaa. gov/dart. shtml Copyright Inter. CAX – All rights reserved

Complex Systems Key Characteristics u Sub-systems & Interactions – type & number u Stakeholders u Methods, models, and software tools u Lifecycle phases – – Requirements Design Manufacturing / Realization Operation Copyright Inter. CAX – All rights reserved

Modeling and simulation technology MCAD (UGS-NX, CATIA, Pro/E, …) ECAD (Zuken CR 500, MGC Board. Station, …) FEA Solvers (ABAQUS, ANSYS, …) CFD Solvers (Fluent, …) DEVS Solvers (ARENA, …), … CAD Modelers System Modelers Sys. ML (Magic. Draw, Artisan Studio, E+, Rhapsody, …) Copyright Inter. CAX – All rights reserved System Analyses … … System Definition CAE Solvers Math Solvers Matlab Mathematica Open. Modelica, …

Contents u Complex systems & Inter. CAX technology u Sys. ML parametrics u Illustrative scenarios – Little. Eye: An unmanned aerial vehicle system – Financial projections system u Lessons learnt u Next-generation spreadsheets? Copyright Inter. CAX – All rights reserved

Sys. ML Parametrics u Sys. ML – OMG standard (www. omgsysml. org) – INCOSE driven – UML for Sys. ML u Parametrics – – Relationships between model parameters Fine-grained Declarative Reuse of relationships: Constraint Block Copyright Inter. CAX – All rights reserved

Little. Eye: An Unmanned Aerial Vehicle Copyright Inter. CAX – All rights reserved

Key Questions for Little. Eye Model u Miles scanned by the Little. Eye system u What limits the number of miles scanned? u Change in number of miles scanned with change in – Number of UAV / planes – Amount of fuel – Monitoring crew Copyright Inter. CAX – All rights reserved

Road Scanner System Problem Little. Eye UAV Copyright Inter. CAX – All rights reserved

Demo of Little. Eye example Copyright Inter. CAX – All rights reserved

Little. Eye Sys. ML Model Various Diagram Views Copyright Inter. CAX – All rights reserved

Solving Little. Eye Sys. ML Parametrics Para. Magic Browser Views Instance 1 - Before Solving Copyright Inter. CAX – All rights reserved Instance 1 - After Solving

Contents u Complex systems & Inter. CAX technology u Sys. ML parametrics u Illustrative scenarios – Little. Eye: An unmanned aerial vehicle system – Financial projections system u Lessons learnt u Next-generation spreadsheets? Copyright Inter. CAX – All rights reserved

Financial Projections System Three Year Corporate Financial Projections u Key questions: – Given projected sales, expenses and financing, what is the financial position of the company at the end of 3 years? – Given the desired financial position at the end of 3 years, what are the required sales, expenses and financing? –… Copyright Inter. CAX – All rights reserved

Demo of Financial Projections System Copyright Inter. CAX – All rights reserved

Financial Projections Sys. ML Model Various Diagram Views Copyright Inter. CAX – All rights reserved

Solving Financial Projections Sys. ML Parametrics Para. Magic Browser Views Instance 1 - Before Solving Copyright Inter. CAX – All rights reserved Instance 1 - After Solving

Contents u Complex systems & Inter. CAX technology u Sys. ML parametrics u Illustrative scenarios – Little. Eye: An unmanned aerial vehicle system – Financial projections system u Lessons learnt u Next-generation spreadsheets? Copyright Inter. CAX – All rights reserved

Lessons Learnt u Sys. ML Parametrics is powerful, flexible, and easy-tolearn, with wide application beyond “systems engineering” u Control of causality is a very important feature for fully exploiting the model. u Areas for improvement – – display of large arrays of instance data inefficiency in repetitive actions model completeness, redundancy, over/under-constrained interoperability Copyright Inter. CAX – All rights reserved

Next-Generation Spreadsheets? u Parametric models – Visible model structure – Flexible control and causality – Multiple solvers u Spreadsheets – Multiple data sources – Equations – Macros – Visualization u Written tables – Memory – Collaboration u Mental calculation Copyright Inter. CAX – All rights reserved Time