Knowledge-intensive collaborative decision support for design processes: A hybrid decision support model and agent

  • Authors:

  • Xuan F. Zha;Ram D. Sriram;Marco G. Fernandez;Farrokh Mistree

  • Affiliations:

  • Design and Process Group, National Institute of Standards and Technology, Gaithersburg, MD 20899, USA;Design and Process Group, National Institute of Standards and Technology, Gaithersburg, MD 20899, USA;System Realization Laboratory, Georgia Institute of Technology, Atlanta, USA;System Realization Laboratory, Georgia Institute of Technology, Atlanta, USA

  • Venue:
  • Computers in Industry
  • Year:
  • 2008

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Abstract

This paper proposes a hybrid decision support model within a multi-agent framework to facilitate integration and collaboration for design decisions. The hybrid decision model integrates the compromise decision support problem technique (cDSP) and the fuzzy synthetic decision model (FSD) to quantitatively incorporate qualitative design knowledge and preferences of designers for multiple, conflicting attributes stored in a knowledge repository so that a better understanding of the consequences of design decisions can be achieved from a more comprehensive perspective. The focus of this work is on the provision of a hybrid decision model and framework for improved cooperative design decision support. The novelty of the work is in combination of different models or methods, algorithms for making collaborative design decisions in both objective and subjective natures, in particular the fuzzy negotiation mechanism using the hybrid decision model. The developed hybrid decision model and framework are generic and flexible enough to be used in a variety of decision problems. Finally, the proposed hybrid decision model and framework are illustrated with applications in collaborative concept evaluation and selection in product family design for mass customization.