Knowledge-intensive Collaborative Decision Support for Design Process View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2006-01-01

AUTHORS

Xuan F Zha , Ram D Sriram

ABSTRACT

In this chapter, we describe a hybrid decision model and a multiagent framework for collaborative decision support in the design process. The proposed knowledge-based collaborative decision support model can quantitatively incorporate qualitative design knowledge and preferences for multiple, conflicting attributes stored in a knowledge repository so that a better understanding of the consequences of design decisions can be achieved from an overall perspective. The multiagent framework provides an efficient decision support environment involving distributed resources to shorten the realization of products with optimal life-cycle performance and competitiveness. The developed model and framework are generic and flexible enough to be used in a variety of design decision problems. The framework is illustrated with an application in concept evaluation and selection in power-supply product family design for mass customization. More... »

PAGES

301-320

Book

TITLE

Intelligent Decision-making Support Systems

ISBN

978-1-84628-228-7
978-1-84628-231-7

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/1-84628-231-4_16

DOI

http://dx.doi.org/10.1007/1-84628-231-4_16

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1040666308


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