Identifying component modules

Research output: Contribution to conferencePaper

Abstract

A computer-based system for modelling component dependencies and identifying component modules is presented. A variation of the Dependency Structure Matrix (DSM) representation was used to model component dependencies. The system utilises a two-stage approach towards facilitating the identification of a hierarchical modular structure. The first stage calculates a value for a clustering criterion that may be used to group component dependencies together. A Genetic Algorithm is described to optimise the order of the components within the DSM with the focus of minimising the value of the clustering criterion to identify the most significant component groupings (modules) within the product structure. The second stage utilises a 'Module Strength Indicator' (MSI) function to determine a value representative of the degree of modularity of the component groupings. The application of this function to the DSM produces a 'Module Structure Matrix' (MSM) depicting the relative modularity of available component groupings within it. The approach enabled the identification of hierarchical modularity in the product structure without the requirement for any additional domain specific knowledge within the system. The system supports design by providing mechanisms to explicitly represent and utilise component and dependency knowledge to facilitate the nontrivial task of determining near-optimal component modules and representing product modularity.

Conference

Conference7th International Conference on Artificial Intelligence in Design
Abbreviated titleAID'02
CountryUnited Kingdom
CityCambridge
Period12/07/0217/07/02

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Genetic algorithms

Keywords

  • artificial intelligence
  • design engineering
  • modelling

Cite this

Whitfield, R. I., Smith, J. S., & Duffy, A. H. B. (2002). Identifying component modules. Paper presented at 7th International Conference on Artificial Intelligence in Design , Cambridge, United Kingdom.
Whitfield, R.I. ; Smith, J.S. ; Duffy, A.H.B. / Identifying component modules. Paper presented at 7th International Conference on Artificial Intelligence in Design , Cambridge, United Kingdom.21 p.
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abstract = "A computer-based system for modelling component dependencies and identifying component modules is presented. A variation of the Dependency Structure Matrix (DSM) representation was used to model component dependencies. The system utilises a two-stage approach towards facilitating the identification of a hierarchical modular structure. The first stage calculates a value for a clustering criterion that may be used to group component dependencies together. A Genetic Algorithm is described to optimise the order of the components within the DSM with the focus of minimising the value of the clustering criterion to identify the most significant component groupings (modules) within the product structure. The second stage utilises a 'Module Strength Indicator' (MSI) function to determine a value representative of the degree of modularity of the component groupings. The application of this function to the DSM produces a 'Module Structure Matrix' (MSM) depicting the relative modularity of available component groupings within it. The approach enabled the identification of hierarchical modularity in the product structure without the requirement for any additional domain specific knowledge within the system. The system supports design by providing mechanisms to explicitly represent and utilise component and dependency knowledge to facilitate the nontrivial task of determining near-optimal component modules and representing product modularity.",
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author = "R.I. Whitfield and J.S. Smith and A.H.B. Duffy",
year = "2002",
language = "English",
note = "7th International Conference on Artificial Intelligence in Design , AID'02 ; Conference date: 12-07-2002 Through 17-07-2002",

}

Whitfield, RI, Smith, JS & Duffy, AHB 2002, 'Identifying component modules' Paper presented at 7th International Conference on Artificial Intelligence in Design , Cambridge, United Kingdom, 12/07/02 - 17/07/02, .

Identifying component modules. / Whitfield, R.I.; Smith, J.S.; Duffy, A.H.B.

2002. Paper presented at 7th International Conference on Artificial Intelligence in Design , Cambridge, United Kingdom.

Research output: Contribution to conferencePaper

TY - CONF

T1 - Identifying component modules

AU - Whitfield, R.I.

AU - Smith, J.S.

AU - Duffy, A.H.B.

PY - 2002

Y1 - 2002

N2 - A computer-based system for modelling component dependencies and identifying component modules is presented. A variation of the Dependency Structure Matrix (DSM) representation was used to model component dependencies. The system utilises a two-stage approach towards facilitating the identification of a hierarchical modular structure. The first stage calculates a value for a clustering criterion that may be used to group component dependencies together. A Genetic Algorithm is described to optimise the order of the components within the DSM with the focus of minimising the value of the clustering criterion to identify the most significant component groupings (modules) within the product structure. The second stage utilises a 'Module Strength Indicator' (MSI) function to determine a value representative of the degree of modularity of the component groupings. The application of this function to the DSM produces a 'Module Structure Matrix' (MSM) depicting the relative modularity of available component groupings within it. The approach enabled the identification of hierarchical modularity in the product structure without the requirement for any additional domain specific knowledge within the system. The system supports design by providing mechanisms to explicitly represent and utilise component and dependency knowledge to facilitate the nontrivial task of determining near-optimal component modules and representing product modularity.

AB - A computer-based system for modelling component dependencies and identifying component modules is presented. A variation of the Dependency Structure Matrix (DSM) representation was used to model component dependencies. The system utilises a two-stage approach towards facilitating the identification of a hierarchical modular structure. The first stage calculates a value for a clustering criterion that may be used to group component dependencies together. A Genetic Algorithm is described to optimise the order of the components within the DSM with the focus of minimising the value of the clustering criterion to identify the most significant component groupings (modules) within the product structure. The second stage utilises a 'Module Strength Indicator' (MSI) function to determine a value representative of the degree of modularity of the component groupings. The application of this function to the DSM produces a 'Module Structure Matrix' (MSM) depicting the relative modularity of available component groupings within it. The approach enabled the identification of hierarchical modularity in the product structure without the requirement for any additional domain specific knowledge within the system. The system supports design by providing mechanisms to explicitly represent and utilise component and dependency knowledge to facilitate the nontrivial task of determining near-optimal component modules and representing product modularity.

KW - artificial intelligence

KW - design engineering

KW - modelling

M3 - Paper

ER -

Whitfield RI, Smith JS, Duffy AHB. Identifying component modules. 2002. Paper presented at 7th International Conference on Artificial Intelligence in Design , Cambridge, United Kingdom.