Semantic-based representation,

enrichment and computation of

product breakdown structures 

Jose María Alvarez-Rodríguez, Juan Llorens, Manuela Alejandres and Jose Fuentes

INCOSE IS 2015, Seattle, US

Can we see/manage something in different forms?

What is first?

EBOM

PBS-What?

OBS-Who?

WBS-How?

CBS-How much?

...

x Breakdown Structures

Underlying structures for...

Systems of Systems

Systems of Interest

(SOI)

The

Product Breakdown Structure

(PBS)

A motorbike PBS...

A structure...

...an underlying graph.

...and...

Needs and Challenges

  • common representation model
  • Interoperability
  • KPIs for each subsystem/component
  • Validation (data & structure)
    • ​Bottom-up. E.g. Weight, MTBF?
  • Computation
  • ...

View or profile over the same structure

Characterization of a

PBS

1-Hierarchical structure

Vocabulary & Conceptual Model

2-Dynamic structure

  • New subsystems and components can be added
  • Observations are dynamically generated
  • Validation is required
    • Checking consistency
    • Data integrity
  • Different views of the same structure (relationship-based)
  • ...

 

3-OSLC Resource

OSLC Knowledge Management

OSLC KPIs

OSLC Overview

Situating contributions

OSLC KPIs

  • Observations are linked to any PBS item.
  • Based on the W3C RDF Data Cube Vocabulary

PBSItem

observations

OSLC KPIs (spec.)

Implementation

Vocabulary

Conceptual Model

Knowledge Manager by

The REUSE Company

Validation

and

Computation

RDF-data validation

(existing approaches)

On-ongoing effort W3C SHACL (Sept. 2014)

(Shapes Constraint Language)

RDF-data validation

Advanced checkings

Evaluation

  • Compare traditional vs Semantic PBS
  • Apply a multi-criteria technique
  • Establish a ranking

Traditional 

vs

Semantic

PBS

AHP

(Analytical Hierarchy Process)

Criteria

  • PBS as a Service
  • Use of the Service Measurement Index (v2.0)

Results

Conclusions

  • The PBS is one of the basic structures for any product development
  • Valuable data and information
    • Static and Dynamic
  • Different views on the same data
  • Need of validation and computation
    • Data consistency and integrity
    • Advanced checking
  • ...

Future Work

  • PBS as a resource that can be fully exchanged
  • Reactive and continuous validation of PBS data
  • Quality assurance
  • Alignment to new specifications E.g. SHACL
  • Merging with existing PBS management tools
  • ...

Speakers 

  •  Dr. Jose María Alvarez-Rodríguez
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