Disparate attributes algorithm for semantic assembly design rule management

  • Authors:

  • Keunho Choi;Kyoung-Yun Kim;Hyung-Jeong Yang

  • Affiliations:

  • Department of Industrial and Systems Engineering, Wayne State University, Detroit, MI 48202, USA;Department of Industrial and Systems Engineering, Wayne State University, Detroit, MI 48202, USA;School of Electronics and Computer Engineering, Chonnam National University, Gwangjusi, South Korea

  • Venue:
  • Advanced Engineering Informatics
  • Year:
  • 2013

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Abstract

To expedite a semantic product design environment, the relevant minimal set of design rules could optimally be distilled from the given disparate design rules. However, in disparate design rules, some attributes are frequently unused in other design rules. Treating all the attributes in all the rules increases reasoning complexity. In the situation of incomplete information, treating the attributes, which may be relevant to some rules and not to others, as ''missing'' ones is found to cause reasoning problems. In this paper, we present a new algorithm, i.e. the disparate attributes algorithm, for managing semantic assembly design rules. The proposed disparate attributes algorithm by identifying ''inapplicable'' information extends a rough set approach for managing semantic assembly design rules with systematic selection of various minimal sets of rules. To validate the disparate attributes algorithm, the approach is tested with multiple realistic assembly design cases.