12/01/04 1 « Engineering of complex systems » Ecole Polytechnique - Thales Daniel Krob December 2004 •Presentation of the chair
12/01/041 « Engineering of complex systems » Ecole Polytechnique - Thales Daniel Krob December 2004 Presentation of the chair.
Dec 22, 2015
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12/01/04 1
« Engineering of complex systems »
Ecole Polytechnique - Thales
Daniel Krob
December 2004
•Presentation of the chair
12/01/04 2
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
12/01/04 3
Information system :technological system + human system
Softwaresystem
Technologicalsystem
Humansystem
Information systems (ERP, SCM, BI, CRM, EAI, etc.)
12/01/04 4
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
12/01/04 5
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)
12/01/04 6
Automobile
Space
AirplaneRadar System on chip
Information systems
The chair « Engineering of complex industrial systems »
Our field : the industrial systems
12/01/04 7
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
12/01/04 8
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
12/01/04 9
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
12/01/04 10
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
12/01/04 11
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
12/01/04 12
Transportationindustries
Industrialequipments
Softwareindustry
Targetindustries
Second caracteristics :a professionnal focus !
Common courses
Transportationsystems
Autonomoussystems
Informationsystems
Industrial training period (6 months)
Year 2Specialized
streams
12/01/04 13
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
12/01/04 14
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
12/01/04 15
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
12/01/04 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 (…)
12/01/04 17
Analysing industrial systems
Technologicalsystems
Softwaresystems
Humansystems
Project management
Technicalsystems
Enterpriseorganizations
A typical complex industrial system
12/01/04 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.
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