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Ontology-Based Representation of Meta-Design in Designing Decision Workflows

[+] Author Affiliations
Ru Wang, Guoxin Wang, Yan Yan, Zhenjun Ming

Beijing Institute of Technology, Beijing, China

Maryam Sabeghi, Janet K. Allen, Farrokh Mistree

University of Oklahoma, Norman, OK

Paper No. DETC2017-67817, pp. V001T02A056; 16 pages
  • ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • Volume 1: 37th Computers and Information in Engineering Conference
  • Cleveland, Ohio, USA, August 6–9, 2017
  • Conference Sponsors: Design Engineering Division, Computers and Information in Engineering Division
  • ISBN: 978-0-7918-5811-0
  • Copyright © 2017 by ASME


Utilizing the enterprise capital related the knowledge of design processes has become a crucial to improve enterprise agility and respond to shifts or changes in markets. The complexity and uncertainty of design processes raise the challenge of capturing tacit knowledge and the ability to provide assistance in designing design processes. In this paper, an ontology is proposed for capturing, representing and documenting the knowledge related to hierarchical decision workflows in the meta-design of complex engineered systems. The ontology is developed in the context of Decision Support Problem Technique (DSPT), taking into account the requirements being able to guide assistance in designing design workflows, and integrating problem, product and process information in a design decision-making process. Then, the method of building procedure and design of process templates are presented to facilitate the reuse of the populated template instances in future design. Finally, the meta-design of the heat exchanger in a small thermal system is presented as an example to illustrate the effectiveness of this approach.

Copyright © 2017 by ASME
Topics: Design , Ontologies , Workflow



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