@inproceedings{24d661dca3eb412fba4ecc1855560aca,
title = "PDSIDES - A knowledge-based platform for decision support in the design of engineering systems",
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.",
keywords = "Decision making, Decision support problem, Engineering design, Knowledge, Ontology, Platform",
author = "Zhenjun Ming and Nellippallil, \{Anand Balu\} and Yan Yan and Guoxin Wang and Goh, \{Chung Hyun\} and Allen, \{Janet K.\} and Farrokh Mistree",
note = "Publisher Copyright: {\textcopyright} 2017 ASME.; ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2017 ; Conference date: 06-08-2017 Through 09-08-2017",
year = "2017",
doi = "10.1115/DETC2017-67562",
language = "English",
series = "Proceedings of the ASME Design Engineering Technical Conference",
publisher = "American Society of Mechanical Engineers (ASME)",
booktitle = "37th Computers and Information in Engineering Conference",
address = "United States",
}