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CMMS under the Magnifying Glass

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2004 Fall Simulation Interoperability Workshop. CMMS under ... marten.lundgren_at_foi.se. 09/22/2004. 04F-SIW-010. Page 2. Who we are. Swedish Ministry of Defence ... – PowerPoint PPT presentation

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Title: CMMS under the Magnifying Glass


1
CMMS under the Magnifying Glass
  • - An Approach to Deal with Substantive
    Interoperability -

Mårten Lundgren M. Sc. Swedish Defence Research
Agency (FOI) Div. of Systems Technology, Dept.
of Systems Modelling 46 70 5561992 marten.lundgre
n_at_foi.se
2
Who we are
  • Swedish Ministry of Defence
  • Swedish Defence Research Agency (FOI)
  • Systems Technology Division
  • Department of Systems Modelling
  • Methods and technologies for complex modeling and
    simulation.

3
Progress at FOI
  • 2001/2002 Usefulness of concept
  • 2003 Further investigation
  • KA / KE
  • Tool support
  • Syntax and semantics
  • Limitations in CMMS KA / KE
  • Ideas on how to solve them

4
CMMS at a glance
Real world
Develop Focused Context
Knowledge Engineering
Gather Information
Formalize Data
Construct CMMS
Knowledge Acquisition
5
Perceived limitations of CMMS
  • Process dependent
  • Poor methodology support
  • Poor modeling abilities

6
Limitation 1 Process dependency
  • Too specific ? not reusable.
  • Too complex ? not understandable

1 aim
3 fire
2 breathe
Activity
1 aim
Choice
3 fire
2 breathe
7
Solution 1 Activity centric models
process chain of events
  • Increased reusability
  • Decreased complexity

8
Limitation 2 Poor methodology
  • No basic approach to knowledge
  • Too general
  • Only KE focused.
  • Misses many critical questions
  • How to delimit scope?
  • How to identify SMEs?
  • How to automate knowledge refinement?
  • How to solve syntax and semantics issues?
  • Etc....

9
Solution 2 Activity based KA and KE
  • Develop KA to support KE
  • Activity centric modeling proved helpful
  • Conform to common standards
  • Interoperability benefits

10
Limitation 3 Poor modeling abilities
specific
generic
complex
11
Solution 3 Meta-layers
  • Meta-layers classify components and add semantics
  • Meta-meta layers enable even more semantics
  • Further mapping to MOF enables automation of
    mapping
  • between notations or even code generation.

3. Reader makes assumptions
2. Knowledge engineer formalizes information
1. Information recieved from SMEs view
12
Summary Limitations
  • Process dependent models are poor analogies of
    reality which causes problems in complexity and
    modularity.
  • Coarse and incomprehensive CMMS methodology gives
    little or no support to important issues.
  • Flat models cannot represent knowledge
    efficiently, or automate mapping of views.
  • ? complex and difficult to reutilize knowledge
    models that limit substantive interoperability.

13
Summary Solutions
  • Use a basic approach like activity centric
    concepts.
  • Develop a detailed methodology based on this
    approach.
  • Use a standardized meta-modeling framework that
    enables abstraction extension
  • Modularity
  • Automation
  • Interoperability
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