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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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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

  • Library Management / Knowledge Capture and Archiving

  • Model Driven Architectures : Information Equivalency - Translation

  • Business Model Equation

  • Model Configuration Management

  • Conclusion


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


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


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


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


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


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 ?


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.



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


Semantic Management

Semantic Control

  • Reusability

  • Readability

  • Modularity

  • Concision

  • Complexity relevancy

  • Sructuration


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


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


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)


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


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…)


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


Avez-vous

des questions à poser ?

Do you have some questions ?


Merci pour votre attention…

Thank you for your attention…


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