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Knowledge Intensive Collaborative Decision Support for Design Process

Published

Author(s)

XuanFang Zha, Ram D. Sriram, W F. Lu

Abstract

Engineering design is essentially a collaborative decision making process that requires rigorous evaluation, comparison and selection of design alternatives and optimization from a global perspective on the basis of different classes of design criteria. Increasing design knowledge and supporting designers to make right and intelligent decisions can achieve the improvement of the design and design efficiency. This paper develops a knowledge-based decision support model and framework that can be extensively applied for engineering system, which allow for the seamless / smooth integration of collaborative product development with optimal product performance. The developed hybrid robust design decision support model quantitatively incorporates qualitative design knowledge and preferences of 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. Two new concepts and mechanisms, transforming bridge and regulatory switch, are introduced in integration of decision support models. The results of this work provide a framework for an efficient decision support environment involving distributed resources to shorten the realization of products with optimal life-cycle performance and competitiveness. The developed methodology and framework are generic and flexible enough to be used in a variety of decision problems. Case application for concept evaluation and selection in design for mass customization is provided.
Proceedings Title
Proceedings of the 2003 ASME Computers & Information in Engineering Conference; September 2-6
Conference Dates
September 2-6, 2003
Conference Location
Chicago, IL
Conference Title
ASME Conference

Keywords

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

Citation

Zha, X. , Sriram, R. and Lu, W. (2003), Knowledge Intensive Collaborative Decision Support for Design Process, Proceedings of the 2003 ASME Computers & Information in Engineering Conference; September 2-6, Chicago, IL (Accessed April 21, 2024)
Created September 1, 2003, Updated February 17, 2017