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FORUM 2011. Issues for the Industrial Health Management System (APSYS). Sommaire. Introduction Major Issues for HMS in Industry : against « one shot » syndrom Technical Issues: Languages and Algorithms Methodological Model Making Issues : Model Making Process Semantic Management

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Presentation Transcript
slide1
FORUM 2011

Issues for the Industrial Health Management System (APSYS)

slide2
Sommaire
  • Introduction
  • Major Issues for HMS in Industry : against « one shot » syndrom
  • Technical Issues: Languages and Algorithms
  • Methodological Model Making Issues : Model Making Process
  • Semantic Management
  • Library Management / Knowledge Capture and Archiving
  • Model Driven Architectures : Information Equivalency - Translation
  • Business Model Equation
  • Model Configuration Management
  • Conclusion
slide3
Introduction

Academics and Industrial Point of View

  • Academics Point Of View
    • Rather interest in theoretical issues
    • Language / Algorithms / Technical aspects
  • Industrial concerns include
    • Previous ones
    • But far beyond everything concerning recurrent process and cost
  • But however should share same points on interest and searching
slide4
Introduction

Industrial focus for model making process in HMS applications

  • Technical Issues: Languages and Algorithms
  • Methodological Model Making Issues : Model Making Process
    • In every context whatever main objective is
    • At every step of the project
  • Semantic Management
    • What is the real semantic reference how to document it
    • How to control it ?
  • Model Configuration Management : how to have updated models ?
  • Library Management / Knowledge Capture and Archiving
  • Model Driven Architectures : make information circulate
  • Business Model Equation : industry per industry
slide5
Technical / Theoretical / Scientifical Issues

Languages for Reality Virtualization

  • How to classify them: SysML, StateMate,
  • How to characterize them ? Functional Analysis Languages / State Graphs / StaeFlows – Statecharts / Hybrids Languages
  • How to measure capability of expression ? Architecture – Static Block Diagram – Dynamic Behaviour – Nominal Behaviour – All Possible Degraded Behaviours -
  • How to adapt level of abstraction for
    • Top level safety property formalozation
    • Functional knowledge expresssion
    • Hardware / Software / Logical description
    • Discrete / Continüous Knowledgeexpression
slide6
Technical / Theoretical / Scientifical Issues

Algorithms : Simple Formulation / Sophisticated and Complex Resolutions

  • How to simulate the system in its « normal » « expected » operational modes
  • How to simulate the system in « all » possible degraded modes taking into account random events like failure modes
  • How to inverse the « arrow of time »: start from an image and go bacwards to possible system trajectories
  • How to deduce what have happened and changed in a system given an observed complex and combined situation , and how to hierarchize results of deductions ?
  • How to proove steady verification of a property ?
    • Independancy on external interactions
    • Independancy on time
slide7
Methodological Model Making / Modeling Process

In all conditions

  • Every time of the life cycle
  • Whatever top level objective is: Safety Analysis / Performance Based Engineering / HMS production /
  • For different cultural profiles
  • In different Engineering contexts
    • Multiples Industrial Partners
    • Subcontractors with « COTS » procurement
slide8
SOW

Step 1

Specification

System

Step 2

FunctionalDesign

F2

F1

Step 3

PhysicalDefinition

Soft

Step 4

Manufacturing

Hard

Methodological Model Making / Modeling Process

Top Down / Bottom Up / Mixed ?

slide9
F2

F1

Methodological Model Making / Modeling Process

Many Different points of Views to manage

  • Functional / Physical duality :
    • Depending on the level of progress of the project
    • Depending on the level of detail in the Work Breakdown Structure
    • Depending on the point of view to be developped:
      • Functional reference,
      • Physical reference.
slide11
Semantic Management

Semantic Implicite Reference Documentation Issue

  • A modelis a set of :concepts,
    • rules, representation and assumptions
      • To best describe or simulate behaviour of a physical system.
  • To make model means to identify:
    • Formal relations
      • Best describing dependency relations between inputs / outputs ;
      • And expressed in terms of
          • logical and mathematical expressions
          • Synchronized state automates
          • Differential Equations
slide12
Semantic Management

Semantic Control

  • Reusability
  • Readability
  • Modularity
  • Concision
  • Complexity relevancy
  • Sructuration
slide13
Semantic Management

Semantic Variability

  • One model strongly depends on the author who made the model: two models can be equivalent from certain points of view without being similar or identical
  • Modeling process necessarily requires to be selective and to sort signs / patterns / facts and figures from reality modelled
slide14
Library Management / Knowledge Capture and Archiving

How is Technological / Physical Knowledge to be captured and saved ?

  • Design knowledge of components, modules and equipements
    • Input and output
    • How it works
    • How it dysfunctions
    • How it reacts to mis interaction
  • Failure Mode knowledge
    • Physical description and characterization
    • Occurrence time distribution law
  • Quantitative Knowledge
    • Parameter values of quantitative laws
    • Ratio Mode

 FORMAL ISSUES OF LIBRARY PRODUCTION AND MAINTENANCE

slide15
Model Driven Architecture : make information circulate

Use and Re use of industrial information

  • Connectors between different tools and information frameworks
  • Compliancy between meta models for different languages used in a company
  • Model translation rules

Meta model

Input

SYSML

Meta model

Target

ALTARICA

transformation

specification

(XMI)

slide16
Business Model Equation

At least one different model for every domain of actvity

  • Aeronautics: MBSE / MBSA , HMS
  • Railway: PBE / PBA, HMS
  • Automotive : Safety, RAMS, HMS
  • Oil and Gaz: PBE / PBA, AM, Safety
slide17
Business Model Equation

Affordability

  • Identify :
    • The lowest breakdown level you need.
  • Keep as a « Black Box » (not decomposed)
    • The less critical elements which do not need to be decomposed,
  • Do not forget that the decomposition tree of a system
    • Depends on how the model will be processed,
  • Do manage
    • Consistency rules between different decomposition trees (as designed, as maintained, as manufactured…)
slide18
Conclusions

Many concurrent issues for industrial process…

  • Technical issue : are Model Based / Driven approaches feasable ?
  • Organizational : how is the technical and organizational framework to supportthe company and the company in these approaches ?
  • Cultural : how do users change their relation to work and knowledge ?
  • Time Dependant Process Sustainability : how do changeability and variability of data and products produce additional costs in the process ?
  • Virutualization of Know How , Knowledge and System produced : how far does it really cover real world

 Most of them are known but few benefit from real research

slide20
Avez-vous

des questions à poser ?

Do you have some questions ?

slide21
Merci pour votre attention…

Thank you for your attention…

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