12/01/041 « Engineering of complex systems » Ecole Polytechnique - Thales Daniel Krob December 2004 Presentation of the chair

12/01/042 Analogic inputs Analogic outputs « Physical » retroactions « Physical » actions Computing machinery Software system Analogic  Digital Automatisms Sensors A modern technological system : physical system + software system Technological systems Irruption of computer science ! Feedback = man or system

12/01/043 Information system : technological system + human system Software system Technological system Human system Information systems (ERP, SCM, BI, CRM, EAI, etc.)

12/01/044 The chair « Engineering of complex industrial systems » Air transportation system Airplane detection and management subsystem Flight plan management subsystem Guiding and avoiding subsystem Communication (towards airplanes) subsystem Airplane systems Airport logistic systems Air Traffic Control systems Reservation systems Air freight management systems Hierarchic decomposition of a complex system Information systems Technological systems Software prevalent systems

12/01/045 The chair « Engineering of complex industrial systems » Number of subsystems  Width of the system decomposition tree  Depth of the system decomposition tree Main sources of complexity for a system Heterogeneity of different types of systems A real theoretical difficulty for taking account of the inter-system couplings Signal processing Control theory + Human sciencesHuman system PhysicsTechnological system Computer scienceSoftware system Scientific basesType of system (of systems)

12/01/046 Automobile Space Airplane Radar System on chip Information systems The chair « Engineering of complex industrial systems » Our field : the industrial systems

12/01/047 Different industrial systems, but a common characteristics : similar R&D and realization processes Industrial processes derivated from the V cycle AnalysisSynthesis The chair « Engineering of complex industrial systems » A strong methodological environment : Numerous project management methodologies An established specification engineering Low « time to market » : 1 – 4 years

12/01/048 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 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

12/01/049 Master’s objectives Transportation systems Industrial equipements Information systems Airplanes Automobiles Trains Ships Space Industriels automatisms Micro-electronics Communications (radars, networks infrastructures, etc.) Software integration Software prevalent systems Control / command systems Our master degree is an initial training for future technical architects and technical project managers Three industrial targets Industrial R&D projects Development projects Complex industrial systems

12/01/0410 General organisation Research training period ( 3 months) Scientific bases Applied Mathematics + Computer Science Year 1 Common courses Transportation systems Autonomous systems Information systems Industrial training period (6 months) Year 2 Specialized streams

12/01/0411 First characteristics : a pluridisciplinary approach ! Signal processing Control theory + Human sciencesHuman systems Continuous modelingTechnological systems Computer science modeling Discrete models Specification Software systems Formal modelsTypes of systems Objective = technical architecture Management System engineering A scientific AND managerial training

12/01/0412 Transportation industries Industrial equipments Software industry Target industries Second caracteristics : a professionnal focus ! Common courses Transportation systems Autonomous systems Information systems Industrial training period (6 months) Year 2 Specialized streams

12/01/0413 The second year of our master The pedagogical organization of the master « Ingénierie des systèmes industriels complexes » Advanced Engineering Industrial Modeling Our main partners System Engineering & Project Management ElectronicsSensors Modeling & Simuling Stream « Transportation Systems » Stream « Autonomous Systems » Stream « Information Systems » Telecommunications Common courses

12/01/0414 The second year of our master Our pedagogical organization 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) System engineering Systemics System conception and realization cycles Human-system interfaces Risk and quality management Project management Operational project management Enterprise organizations Innovative strategies

12/01/0415 The second year of our master Our pedagogical organization 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 Industrial modeling Dassault Aviation PSA Peugeot Citroën Renault Thales Esterel Technologies Schneider Electrics Atos Origin Cap Gemini Sopra Group

12/01/0416 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 (…)

12/01/0417 Analysing industrial systems Technological systems Software systems Human systems Project management Technical systems Enterprise organizations A typical complex industrial system

12/01/0418 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.