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Page 1: Combining Attributes for SoS - SEAri at MITseari.mit.edu/documents/presentations/CSER09_Chattopadhy... · 2009-04-24 · Combining Attributes for Systems of Systems in Multi-Attribute

seari.mit.edu © 2009 Massachusetts Institute of Technology 1

Combining Attributes for Systems of Systems in Multi-Attribute Tradespace Exploration

Debarati ChattopadhyayAdam M. Ross

Donna H. RhodesMassachusetts Institute of Technology

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Systems of Systems (SoS)Systems of Systems (SoS) are dynamic higher order systems

composed of other independently managed systems that together provide some emergent value.

aircraft satelliteUAV

Coordinating ObservatoriesComponents: HST, Chandra and the

Observer/User

Multi Concept Disaster Surveillance System

Components :Aircraft, UAV, SatelliteReference: Maier, M.W., "Architecting Principles for Systems-of-Systems", Systems Engineering, 1, 4, pp 267-84, 1998

A system-of-systems is a set of collaboratively integrated systems that possess two additional properties: operational

independence of the components and managerial independence of the components.

(Maier, 1998)

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Motivation

• SoS are different from traditional systems in terms of design issues1,2

– Operational independence– Managerial independence– Emergent behavior– Varying composition over time

• SoS engineering requires new methods• Heuristics and qualitative guidelines in the literature1

– Stable intermediate forms– Leverage at interfaces, etc.

Need for quantitative method for comparing SoS designs in order to assistdecision makers in the conceptual design phase

[1] Maier, M.W., "Architecting Principles for Systems-of-Systems", Systems Engineering, 1, 4, pp 267-84, 1998

[2] J.Boardman B.Sauser, “System of systems – the meaning of OF”, IEEE International Systems Conference, Los Angeles, CA, 2006.

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Research Questions

1. What are the characteristics that distinguish SoS design from traditional system design?

– local and global stakeholders– dynamic composition of system– legacy and new components

2. What is a practical framework for SoS tradespace exploration?

– Step-by-step method utilizing Dynamic Multi-Attribute Tradespace Exploration

3. How can the developed tradespace exploration framework be used to select SoS designs that are value robust through the SoS lifetime?

– Epoch-era analysis – Pareto analysis

Step 1.....

Step 2.....

Step 3.....

Step 1.....

Step 2.....

Step 3.....

U

0

Epoch 1 Epoch 2 Epoch 3 Epoch n

…S1,b S1,e S2,b S2,e S3,b S3,e Sn,b Sn,e

T1 T2 T3 Tn

Time

U

0

Epoch 1 Epoch 2 Epoch 3 Epoch n

…S1,b S1,e S2,b S2,e S3,b S3,e Sn,b Sn,e

T1 T2 T3 Tn

Time

utili

ty

cost

SoS Tradespace

SoS Design Method

SoS Lifetime

SoSA SoSB SoSC

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SoS - Specific Design Considerations

Local and Global Stakeholder Sets

Legacy and New Systems

Dynamic Composition

Local and Global Stakeholder Sets

Legacy and New Systems

Dynamic Composition

Chattopadhyay, D., Ross, A.M., and Rhodes, D.H., “A Framework for

Tradespace Exploration of Systems of Systems”, 6th Conference on Systems Engineering Research, Los Angeles,

CA, April 2008.

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Multi-Attribute Tradespace Exploration

1. Determine Stakeholders

2. Specify value proposition

• Interview stakeholder

• Determine attribute list

• Elicit utility curves

3. Enumerate design vector

4. Develop system model linking design variables to attributes

5. Compare candidate architectures on same cost-utility basis in tradespace

Application of decision analysis and utility theory to modeling andsimulation based design

Reference: Ross, A.M., Hastings, D.E., Warmkessel, J.M., and Diller, N.P., “Multi-Attribute Tradespace Exploration as a Front-End for Effective Space System Design,” AIAA Journal of Spacecraft and Rockets, Jan/Feb 2004.

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SoS Tradespace Exploration

Enhancing Dynamic MATE with SoS-specific considerations

SoS Variables

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SoS Value Delivery

SoS value> Componentsgreater functionality in

SoSSoS value <Components

interactions reduce combined capability

SoS value> Componentsgreater functionality in

SoSSoS value <Components

interactions reduce combined capability

Coordinating Observatories, Chandra and HSTCoordinating Observatories, Chandra and HST

SoS ‘Value’ ~= sum of component valueSoS ‘Value’ ~= sum of component value

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SoS Value Delivery

SoS value> Componentsgreater functionality in

SoSSoS value <Components

interactions reduce combined capability

SoS value> Componentsgreater functionality in

SoSSoS value <Components

interactions reduce combined capability

Coordinating Observatories, Chandra and HSTCoordinating Observatories, Chandra and HST

How is SoS value determined/modeled so that designs can be compared on a tradespace?

How is SoS value determined/modeled so that designs can be compared on a tradespace?

SoS ‘Value’ ~= sum of component valueSoS ‘Value’ ~= sum of component value

AA

BB

SoS1SoS1

AA

BB

SoS1SoS1

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Combining Component System Attributes to Generate SoS Value

Combine Attributes

Based on Attribute Classes,

Level of Combination

Component Systems

AB

C

attribute

attribute

attribute

SoS Attribute

SoS Cost

SoS Multi-Attribute

Utility

System attributes are decision maker perceived metrics that are used to measure the system value deliveryComponent system attributes are combined to generate the SoS utility. Attribute combination has an impact on SoS costs.

utili

tycost

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Attribute Classification

Small -> LargeCan be added through changing the design variable set (scale or modify)

Accessible Value3

Large -> InfiniteCannot be added through changing design variable set (system too rigid)

Inaccessible Value4

SmallCan exist by recombining Class 0 and 1 Attributes

Combinatorial Latent Value2

0Exist, but not assessedFree Latent Value1

0Exist and assessed Articulated Value0

Cost to DisplayProperty of ClassNameClass

[1]Ross, A.M. and Rhodes, D.H. Using Attribute Classes To Uncover Latent Value During Conceptual Systems Design, IEEE International Systems Conference, Montreal CA, April 2008.

Component system attributes can be classified based on whether they are articulated by the decision maker, and displayed by the system

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Level of Attribute Combination Complexity

Att 1Att 1

Att 2Att 2

Att 1Att 1 Att 2Att 2

Att 1Att 1 Att 2Att 2

Att 1Att 1 Att 2Att 2

HandoffHandoff

Att 1Att 1 Att 2Att 2

Att 1Att 1 Att 2Att 2

HandoffHandoff

Att 1Att 1 Att 2Att 2

‘Low’ Level Combination‘Low’ Level Combination ‘Medium’ Level Combination‘Medium’ Level Combination

‘High’ Level Combination‘High’ Level Combination

Att1Att1 Att2Att2

SoS Attributes

Att1Att1 Att2Att2

SoS Attributes

Att1Att1 Att2Att2

SoS Attributes

Att1Att1 Att2Att2

SoS Attributes

Att1Att1 Att2Att2

SoS Attributes

Att1Att1 Att2Att2

SoS Attributes

avgavg

fusionfusion

AttA AttB AttA

AttA AttB

AttB

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Combining Attributes to Quantify SoS Value Delivery

SoS Attribute Value

SoS attribute value= fn( component A attribute value,

component B attribute value…)

Impact on Cost

Large (30)3

Medium(20)2

Small (10)0,1

Cost Added (% Component Cost)

Class

Multiplier (1,2,3) on cost added for level of attribute combination complexity

Attribute Classes from [1]

[1]Ross, A.M. and Rhodes, D.H. Using Attribute Classes To Uncover Latent Value During Conceptual Systems Design, IEEE International Systems Conference, Montreal CA, April 2008.

Small -> Large

Can be added through changing the design variable set (scale or modify)

Accessible Value

3

SmallCan exist by recombining Class 0 and 1 Attributes

Combinatorial Latent Value

2

0Exist, but not assessedFree Latent Value

1

0Exist and assessed Articulated Value

0

Cost to Display

Property of ClassNameClass

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Steps for Modeling SoS Value Delivery

Elicit SoS attributes from stakeholder

Generate List of (Legacy or New, or Legacy and New)

Components

Identify system attributes in each class (0,1,2,3) for each

component

Estimate participation risk for each component (based on

managerial control and influence)

SoS Variables

Class 0

:::::::::

Class 1

:::::::::

Class 2

:::::::::

Class 3

:::::::::

Component A

Class 0

:::::::::

Class 1

:::::::::

Class 2

:::::::::

Class 3

:::::::::

Component B

Participation Risk

Levels and Methods of Combination of Attributes

Util

ity

Cost

SoS Cost Estimate

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Qualitative Example of Application

Imaging Capability (NIIRS)

Class 2

Field of Regard

Class 1

Target Track Life

Resolution

Acquisition Cost

Class 0

Field of Regard

Class 1

Percentage of Area of Interest Covered

Imaging Capability (NIIRS)

Acquisition Cost

Class 0

...

Target Track Life

Field of Regard

Imaging Capability (NIIRS)

Acquisition Cost

For each SoS attribute, a combination of the component system attributes along with a selected combining method is used to generate the SoS attribute level

Low attribute classes and low level combination have a low impact on cost

Aircraft Satellite SoS

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Qualitative Example of Application

Imaging Capability (NIIRS)

Class 2

Field of Regard

Class 1

Target Track Life

Resolution

Acquisition Cost

Class 0

Field of Regard

Class 1

Percentage of Area of Interest Covered

Imaging Capability (NIIRS)

Acquisition Cost

Class 0

...

Target Track Life

Field of Regard

Imaging Capability (NIIRS)

Acquisition Cost

Low level combination

For each SoS attribute, a combination of the component system attributes along with a selected combining method is used to generate the SoS attribute level

Low attribute classes and low level combination have a low impact on cost

Aircraft Satellite SoS

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Qualitative Example of Application

Aircraft Satellite SoS

Higher level of component attribute used in higher level combination has higher impact on cost

Imaging Capability (NIIRS)

Class 2

Field of Regard

Class 1

Target Track Life

Resolution

Acquisition Cost

Class 0

Field of Regard

Class 1

Percentage of Area of Interest Covered

Imaging Capability (NIIRS)

Acquisition Cost

Class 0

...

Target Track Life

Field of Regard

Imaging Capability (NIIRS)

Acquisition Cost

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Qualitative Example of Application

Aircraft Satellite SoS

Higher level of component attribute used in higher level combination has higher impact on cost

High level

combination

Imaging Capability (NIIRS)

Class 2

Field of Regard

Class 1

Target Track Life

Resolution

Acquisition Cost

Class 0

Field of Regard

Class 1

Percentage of Area of Interest Covered

Imaging Capability (NIIRS)

Acquisition Cost

Class 0

...

Target Track Life

Field of Regard

Imaging Capability (NIIRS)

Acquisition Cost

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Conclusion

• Component system attribute combination provides a means to quantitatively estimate SoS value delivery– As comprehensive lists of attributes for each

component system is generated, comparison of these lists may lead to identification of potential undesirable (or desirable) SoS emergent properties

• Modeling SoS value is a key aspect of the quantitative SoS tradespace exploration method that enables the comparison of a large number of designs on the same tradespace

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Future Work

• Incorporation of combining attributes and participation risk concepts into the full SoS Tradespace Exploration Method

• Application of full SoS Tradespace Exploration Method to a quantitative case study

• Detailed study of the types of attribute combination methods available within each level of combination complexity

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Questions?