Knowledge-Intensive Collaborative Decision Support for Design Process

Published

October 1, 2005

Author(s)

XuanFang Zha, Ram D. Sriram

Abstract

In this chapter, we describe a hybrid decision model and a multi-agent 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 multi-agent 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.

Citation

Intelligent Decision-Making Support Systems (i-DMSS): Foundations, Applications and Challenges

Publisher Info

Springer-Verlag,

Pub Type

Books

Download Paper

Local Download

Keywords

autonomous decision agent, collaborative decision-making mechanism, design decision support, hybrid robust decision model, multi-agent framework

Citation

Zha, X. and Sriram, R. (2005), Knowledge-Intensive Collaborative Decision Support for Design Process, Springer-Verlag, , [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=822323 (Accessed October 17, 2025)