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« Engineering of complex systems »

Ecole Polytechnique - Thales

Daniel Krob

December 2004

•Presentation of the chair

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Analogic inputs

Analogic outputs

« Physical »retroactions

« Physical »actions

Computingmachinery

Softwaresystem

Analogic

DigitalAutomatisms

Sensors

A modern technological system : physical system + software system

Technological systems

Irruption ofcomputer science !

Feedback = man or system

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Information system :technological system + human system

Softwaresystem

Technologicalsystem

Humansystem

Information systems (ERP, SCM, BI, CRM, EAI, etc.)

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The chair « Engineering of complex industrial systems »

Air transportation system

Airplane detection and managementsubsystem

Flight plan managementsubsystem

Guiding and avoiding

subsystem

Communication (towards airplanes)

subsystem

Airplanesystems

Airport

logistic

systems

Air Traffic Control systems

Reservationsystems

Air freightmanagement

systems

Hierarchic decomposition of a complex system

Informationsystems

Technologicalsystems

Softwareprevalentsystems

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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)

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Automobile

Space

AirplaneRadar System on chip

Information systems

The chair « Engineering of complex industrial systems »

Our field : the industrial systems

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Different industrial systems, but a common characteristics : similar R&D and realization processes

• Industrial processes derivated from the V cycle

Analysis Synthesis

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

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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 polein 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

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Master’s objectives

Transportation

systemsIndustrial

equipementsInformation

systems

AirplanesAutomobilesTrainsShipsSpace

Industriels automatismsMicro-electronicsCommunications (radars, networks infrastructures, etc.)

Software integration Software prevalent systems Control / commandsystems

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

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General organisation

Research training period ( 3 months)

Scientific basesApplied Mathematics + Computer Science

Year 1

Common courses

Transportationsystems

Autonomoussystems

Informationsystems

Industrial training period (6 months)

Year 2Specialized

streams

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First characteristics :a pluridisciplinary approach !

Signal processing

Control theory+

Human sciencesHuman systems

Continuous modelingTechnological systems

Computer science modeling• Discrete models

• SpecificationSoftware systems

Formal modelsTypes of systems

Objective = technical architecture • Management• System engineering

A scientific AND managerial training

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Transportationindustries

Industrialequipments

Softwareindustry

Targetindustries

Second caracteristics :a professionnal focus !

Common courses

Transportationsystems

Autonomoussystems

Informationsystems

Industrial training period (6 months)

Year 2Specialized

streams

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The second year of our master

The pedagogical organization of the master« Ingénierie des systèmes industriels complexes »

Advanced Engineering

Industrial Modeling

Our mainpartners

System Engineering & Project Management

Electronics Sensors

Modeling & Simuling

Stream

« Transportation

Systems »

Stream

« Autonomous

Systems »

Stream

« Information

Systems »

Telecommunications

Common courses

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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

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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

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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 (…)

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Analysing industrial systems

Technologicalsystems

Softwaresystems

Humansystems

Project management

Technicalsystems

Enterpriseorganizations

A typical complex industrial system

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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.