« Engineering of complex systems »

1. « Engineering of complex systems » Presentation of the chair Ecole Polytechnique - Thales Daniel Krob December 2004

2. Irruption of computer science ! Technological systems Feedback = man or system Software system Analogic inputs Analogic outputs Analogic  Digital Automatisms Sensors « Physical » actions « Physical » retroactions Computing machinery A modern technological system : physical system + software system

3. Human system Technological system Information systems (ERP, SCM, BI, CRM, EAI, etc.) Software system Information system : technological system + human system

4. Information systems Technological systems Air transportation system Airplane systems Airport logistic systems Air Traffic Control systems Reservation systems Air freight management systems Software prevalent systems Hierarchicdecomposition of a complex system Airplane detection and management subsystem Flight plan management subsystem Guiding and avoiding subsystem Communication (towards airplanes) subsystem The chair « Engineering of complex industrial systems »

5. Type of system Scientific bases Signal processing Control theory Software system Computer science + Technological system Physics Human system Human sciences The chair « Engineering of complex industrial systems » • Number of subsystems • Width of the system decomposition tree • Depth of the system decomposition tree Heterogeneity of different types of systems A real theoretical difficulty for taking account of the inter-system couplings Main sources of complexity for a system (of systems)

6. Automobile Information systems Space Airplane Radar System on chip The chair « Engineering of complex industrial systems » Our field : the industrial systems

7. Industrial processes derivated from the V cycle Analysis Synthesis The chair « Engineering of complex industrial systems » Low « time to market » : 1 – 4 years • A strong methodological environment : • Numerous project management methodologies • An established specification engineering Different industrial systems, but a common characteristics : similar R&D and realization processes

8. Training activities : • Objective : training the future technical architects and technical managers who will imagine the tomorrow complex industrial systems • Originality : a professional training mixing strongly scientific pluridisciplinarity, project management and real industrial techniques • R&D activities : • Objective : developing and promoting formal methods for modeling and realizing complex industrial systems The chair’s activities • Two types of activity • Training • R&D • A common philosophy • beginning with reality … • … coming back to reality Our ambition : becoming an excellence pole in the field of complex industrial system engineering

9. Industrial R&D projects Development projects Master’s objectives Complex industrial systems Our master degree is an initial training for future technical architects and technical project managers Three industrial targets

10. Scientific bases Applied Mathematics + Computer Science Research training period ( 3 months) Year 1 Common courses Transportation systems Autonomous systems Information systems Specialized streams Year 2 Industrial training period (6 months) General organisation

11. Types of systems Formal models Computer science modeling • Discrete models • Specification Software systems Signal processing Control theory Technological systems Continuous modeling + Human systems Human sciences First characteristics :a pluridisciplinary approach ! Management System engineering Objective = technical architecture A scientific AND managerial training

12. Transportation industries Industrial equipments Software industry Target industries Common courses Transportation systems Autonomous systems Information systems Specialized streams Year 2 Industrial training period (6 months) Second caracteristics :a professionnal focus !

13. Stream « Transportation Systems » Stream « Autonomous Systems » Stream « Information Systems » Advanced Engineering Industrial Modeling Modeling & Simuling System Engineering & Project Management Common courses Telecommunications Electronics Sensors Our main partners The second year of our master The pedagogical organization of the master « Ingénierie des systèmes industriels complexes »

14. The second year of our master • System engineering • Systemics • System conception and realization cycles • Human-system interfaces • Risk and quality management • Project management • Operational project management • Enterprise organizations • Innovative strategies • Engineering sciences • Electronics • Sensors & physics • Telecommunications • Modeling & simuling • Continuous modeling • Discrete modeling • Logical modeling • Simuling tools Common courses A lot of industrial courses (30 % of courses) Our pedagogical organization

15. Dassault Aviation PSA Peugeot Citroën Renault Thales Esterel Technologies Schneider Electrics Atos Origin Cap Gemini Sopra Group The second year of our master Industrial modeling • Stream « Transportation systems » • Embeded systems foundations • Embeded systems architecture • Fiability of embeded systems • Stream « Autonomous systems » • Componants • Autonomous systems architecture • Input & output control • Stream « Information systems » • Data management • Application integration (EAI) • Human-computer interfaces Our pedagogical organization

16. Our R&D policy • Main problematics • Systemic modeling of the R&D and the realizing processes of an industrial complex system • Parameters and metrics • Inter-system coupling • Predictive models • Modeling tools • A partnership policy • Academic partners : CEA/LIST, INRIA, PCRI, etc. • Industrial partnerships : Thales, SNECMA (…)

17. Technological systems Software systems Technical systems Human systems Enterprise organizations Project management Analysing industrial systems A typical complex industrial system

18. Four structuring streams • Stream 1 : modeling of complex industrial systems • Formal models (computer science, control theory) • Semi or unformal models (systemics, etc.) • Stream 2 : Understanding the main subsystems • Software systems • Technological systems (physics) • Human systems (enterprise organization modeling) • Stream 3 : Understanding the inter-systems interactions • Hybrid systems (computer science, control theory) • Human-system interfaces • Stream 4 : Analyzing global system behaviours • Verification, validation, test, etc. • Security, fiability, etc.