PDSIDES - A knowledge-based platform for decision support in the design of engineering systems

Zhenjun Ming, Anand Balu Nellippallil, Yan Yan, Guoxin Wang, Chung Hyun Goh, Janet K. Allen*, Farrokh Mistree

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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Abstract

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.

Original languageEnglish
Title of host publication37th Computers and Information in Engineering Conference
PublisherAmerican Society of Mechanical Engineers (ASME)
ISBN (Electronic)9780791858110
DOIs
Publication statusPublished - 2017
EventASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2017 - Cleveland, United States
Duration: 6 Aug 20179 Aug 2017

Publication series

NameProceedings of the ASME Design Engineering Technical Conference
Volume1

Conference

ConferenceASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2017
Country/TerritoryUnited States
CityCleveland
Period6/08/179/08/17

Keywords

  • Decision making
  • Decision support problem
  • Engineering design
  • Knowledge
  • Ontology
  • Platform

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Ming, Z., Nellippallil, A. B., Yan, Y., Wang, G., Goh, C. H., Allen, J. K., & Mistree, F. (2017). PDSIDES - A knowledge-based platform for decision support in the design of engineering systems. In 37th Computers and Information in Engineering Conference Article 67562 (Proceedings of the ASME Design Engineering Technical Conference; Vol. 1). American Society of Mechanical Engineers (ASME). https://doi.org/10.1115/DETC2017-67562