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Application of the Generic Modelling
          Method for System of Systems to
          Manufacturing Domain
Date: November, 2011                Conference: The 37th Annual
Linked to: RTD research at FAST     Conference of the IEEE Industrial
                                    Electronics Society

                                    Title of the paper: Application of the
                                    Generic Modelling Method for System of
                                    Systems to Manufacturing Domain
                                    Authors: Bo Zhou, Aleksandra
                                    Dvoryanchikova, Andrei Lobov, Johannes
Contact information
                                    Minor, Jose Luis Martinez Lastra
Tampere University of Technology,
FAST Laboratory,
P.O. Box 600,
                                    If you would like to receive a reprint of
FIN-33101 Tampere,                  the original paper, please contact us
Finland
Email: fast@tut.fi
www.tut.fi/fast
Application of the Generic
 Modelling Method for System of
Systems to Manufacturing Domain
 Bo Zhou, Aleksandra Dvoryanchikova, Andrei Lobov, Johannes Minor,
                     Jose Luis Martinez Lastra

      Contact: {aleksandra.dvoryanchikova, andrei.lobov}@tut.fi
                           www.tut.fi/fast
                            IECON 2011
                         08th of November
                        Melbourne Australia
Motivation: a) System of Subsystems vs. SoS

System of Subsystems                  System of Systems

Conformance             Autonomy       Independence

Centralization          Belonging      Decentralization

Platform-centric       Connectivity    Network-centric

Homogeneous             Diversity      Heterogeneous

Foreseen               Emergence       Indeterminable
Motivation: b) SoS-definition



“Systems of systems are large-scale
 integrated systems that are
 heterogeneous and independently
 operable on their own, but are networked
 together for a common goal”
                                   (Jamshidi, 2009)
Motivation: c) System Engineering vs. SoS Engineering

System Property      System Engineering   SoS Engineering
Unit of analysis     Single System        Integration of Systems
Target               Optimisation         Realistic Cost and Scheduling
Point of Confusion   End Point            Initial Deployment
Requirements         Fixed                Evolving
Boundaries           Well-defined         Indefinable
Background:                            Computational methods for SoS
                                                   modelling


             Traditional
                                                                   SoS-specific
                (Clark, 2009)



                                                Domain              Definition by             Definition by
     Building                                  Taxonomy            Characteristics             Interface
                           V-Model
     Blocks                                                         (Bawlding & Sauser,       (Gutirrez-Garcia et
                                             (DeLaurentis, 2008)           2009)                  al., 2009)




 Clear representation;                    Expresses               Agent-based approach and a language
 Easy for paractical execution;          operational              description.
                                          independence;
 Ignores essential characteristics of                                             Hypothesis:
SoS like communication and                 Further
cooperation;                              development for           Def. of Characteristics + Def. of Interface
 System is more then subsystem           better readability                             =
congregation.                                                        Description of the Production System
7
          Approach


The generic method is proposed based on two Modelling methods:

• Modelling SoS based on its characteristics
  (Baldwin and Sauser, 2009)



                                                      Generic SoS
                                                       modelling
                                                        method



• Modelling SoS by definition of interface
  (Gutirrez-Garcia, 2009)
Generic Method for SoS-modelling:

        Static Description:
      • Individual Actions and Goals                     Si = { Sσi Sδi }
      • Sσi = { Aσi Gσi }



        Dynamic Description:           Autonomy (i) = | Aσi |              Diversity (i) = Aσi
      • Action and Goals as a legal
        constituent system
      • Sδi = { Aδi Gδi }
                                       Belonging (i) =


                                                         Connectivity:
                                                                Sσ1   Sσ2    Sσ3   Sσ4   Sσ5   Sσ6
                                                         Sσ1     0     1       0    0     0      0
                                                         Sσ2     1     0       1    0     1      0

SoS = { Si, … Sn, C, G }, n ∈ Z+>1, G ≠ ∅                Sσ3     1     1       0    0     1      0
                                                         Sσ4     0     1       1    0     0      0
                                                         Sσ5     0     0       1    1     0      0
                                                         Sσ6     1     1       0    0     1      0
Use case: Testbed - a production line
Use case: Testbed of a production line

Purpose: it is assumed that the method should work also for a traditional systems; a
 testbed was considered as an example of a traditional manufacturing system.
Actions definition
Conclusions:


The generic method is capable to describe constituent systems of
 SoS trough theirs characteristics and interfaces between them.
The ability of the method to describe goals and functionality of
 the constituent systems can provide detailed yet simple
 description of a heterogeneous, destributed systems of a large
 scale.
The applications of the method to the use cases show the
 aplicability to the domain of factory automation.

Further improvements and developments:
• Extension of the use cases evaluating the approach.
• A tool for SoS analysis and simulation should be developed.

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Application of the Generic Modelling Method for System of Systems to Manufacturing Domain

  • 1. Application of the Generic Modelling Method for System of Systems to Manufacturing Domain Date: November, 2011 Conference: The 37th Annual Linked to: RTD research at FAST Conference of the IEEE Industrial Electronics Society Title of the paper: Application of the Generic Modelling Method for System of Systems to Manufacturing Domain Authors: Bo Zhou, Aleksandra Dvoryanchikova, Andrei Lobov, Johannes Contact information Minor, Jose Luis Martinez Lastra Tampere University of Technology, FAST Laboratory, P.O. Box 600, If you would like to receive a reprint of FIN-33101 Tampere, the original paper, please contact us Finland Email: fast@tut.fi www.tut.fi/fast
  • 2. Application of the Generic Modelling Method for System of Systems to Manufacturing Domain Bo Zhou, Aleksandra Dvoryanchikova, Andrei Lobov, Johannes Minor, Jose Luis Martinez Lastra Contact: {aleksandra.dvoryanchikova, andrei.lobov}@tut.fi www.tut.fi/fast IECON 2011 08th of November Melbourne Australia
  • 3. Motivation: a) System of Subsystems vs. SoS System of Subsystems System of Systems Conformance Autonomy Independence Centralization Belonging Decentralization Platform-centric Connectivity Network-centric Homogeneous Diversity Heterogeneous Foreseen Emergence Indeterminable
  • 4. Motivation: b) SoS-definition “Systems of systems are large-scale integrated systems that are heterogeneous and independently operable on their own, but are networked together for a common goal” (Jamshidi, 2009)
  • 5. Motivation: c) System Engineering vs. SoS Engineering System Property System Engineering SoS Engineering Unit of analysis Single System Integration of Systems Target Optimisation Realistic Cost and Scheduling Point of Confusion End Point Initial Deployment Requirements Fixed Evolving Boundaries Well-defined Indefinable
  • 6. Background: Computational methods for SoS modelling Traditional SoS-specific (Clark, 2009) Domain Definition by Definition by Building Taxonomy Characteristics Interface V-Model Blocks (Bawlding & Sauser, (Gutirrez-Garcia et (DeLaurentis, 2008) 2009) al., 2009)  Clear representation;  Expresses  Agent-based approach and a language  Easy for paractical execution; operational description. independence;  Ignores essential characteristics of  Hypothesis: SoS like communication and  Further cooperation; development for Def. of Characteristics + Def. of Interface  System is more then subsystem better readability = congregation. Description of the Production System
  • 7. 7 Approach The generic method is proposed based on two Modelling methods: • Modelling SoS based on its characteristics (Baldwin and Sauser, 2009) Generic SoS modelling method • Modelling SoS by definition of interface (Gutirrez-Garcia, 2009)
  • 8. Generic Method for SoS-modelling: Static Description: • Individual Actions and Goals Si = { Sσi Sδi } • Sσi = { Aσi Gσi } Dynamic Description: Autonomy (i) = | Aσi | Diversity (i) = Aσi • Action and Goals as a legal constituent system • Sδi = { Aδi Gδi } Belonging (i) = Connectivity: Sσ1 Sσ2 Sσ3 Sσ4 Sσ5 Sσ6 Sσ1 0 1 0 0 0 0 Sσ2 1 0 1 0 1 0 SoS = { Si, … Sn, C, G }, n ∈ Z+>1, G ≠ ∅ Sσ3 1 1 0 0 1 0 Sσ4 0 1 1 0 0 0 Sσ5 0 0 1 1 0 0 Sσ6 1 1 0 0 1 0
  • 9. Use case: Testbed - a production line
  • 10. Use case: Testbed of a production line Purpose: it is assumed that the method should work also for a traditional systems; a testbed was considered as an example of a traditional manufacturing system.
  • 11.
  • 13. Conclusions: The generic method is capable to describe constituent systems of SoS trough theirs characteristics and interfaces between them. The ability of the method to describe goals and functionality of the constituent systems can provide detailed yet simple description of a heterogeneous, destributed systems of a large scale. The applications of the method to the use cases show the aplicability to the domain of factory automation. Further improvements and developments: • Extension of the use cases evaluating the approach. • A tool for SoS analysis and simulation should be developed.

Hinweis der Redaktion

  1. W.C. Baldwin and B. Sauser, “Modeling the characteristics of systemof system,”J.O. Gutirrez-Garcia, F.F. Ramos-Corchado, and J.-L. Koning, “Obligations as constrainers, descriptors, and linkers of open system of systems,”
  2. The transformation is discussed in Wells & Sage, 2009.(Einstein portrait by Bernard Pras from recycling trash)
  3. Thus,SoS engineering has shifted from classical phylosofy and approaches of system engineering, and new challenges, which SoS-concept is posing to Engineering, appeal to development of new methods which would allow to model, describe and simulate SoS specific nature.
  4. Despite on hudge interest to the subject expressed in academia and industry, a small number of computational methods has been yet presented.Hypothesis: Integration of Definition of Characteristics for description of properties for each component and Definition of Interface for communication between components could provide a completed and relatively easy description of the whole production system with all related processes
  5. In [7], there was introduced a method to model SoS by defining descriptive interfaces between constituent systems that contain the obligations that should be complied. A SoS is depicted as a multi-agent system, and each agent is capable of releasing a certain number of obligations. These obligations are accomplished either by actions taken by the agent itself, or by commanding other agent(s) to complete some certain actions.
  6. The method is capable to describe the production process based on actions and goals and the description evolves with the increasing of the component systems’ number. Thus the modelling method can be utilized to more complex systems.