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PDSIDES: A Knowledge-Based Platform for Decision Support in the Design of Engineering Systems

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

Beijing Institute of Technology, Beijing, China

Anand Balu Nellippallil, Janet K. Allen, Farrokh Mistree

University of Oklahoma, Norman, OK

Chung Hyun Goh

University of Texas, Tyler, Tyler, TX

Paper No. DETC2017-67562, pp. V001T02A055; 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


We hypothesize that by providing decision support for designers in industry we can speed up the design process and facilitate the creation of quality cost-effective designs. One of the challenges in providing design decision support is that the decision workflows embody various degrees of complexity due to the inherent complexity embodied in engineering systems. To tackle this, we propose a Knowledge-Based Platform for Decision Support in the Design of Engineering Systems (PDSIDES). PDSIDES is built on our earlier work that is anchored in modeling decision-related knowledge with templates using ontology to facilitate execution and reuse. In this paper, we extend the ontological decision templates to a computational platform that provides knowledge-based decision support for three types of users, namely, Template Creators, Template Editors, and Template Implementers, in original design, adaptive design, and variant design respectively. The efficacy of PDSIDES is demonstrated using a Hot Rod Rolling System (HRRS) design example.

Copyright © 2017 by ASME



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