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research-article

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

[+] Author and Article Information
Zhenjun Ming

Beijing Institute of Technology
zhenjun.ming@bit.edu.cn

Anand Balu Nellippallil

University of Oklahoma
anand.balu@ou.edu

Yan Yan

Beijing Institute of Technology
yanyan331@bit.edu.cn

Guoxin Wang

Beijing Institute of Technology, No. 5 Zhongguancun South Street, Haidian District, Beijing China 100081
wangguoxin@bit.edu.cn

Chung Hyun Goh

The University of Texas at Tyler
cgoh@uttyler.edu

Janet K. Allen

University of Oklahoma
janet.allen@ou.edu

Farrokh Mistree

University of Oklahoma
farrokh.mistree@ou.edu

1Corresponding author.

ASME doi:10.1115/1.4040461 History: Received June 10, 2017; Revised May 25, 2018

Abstract

We hypothesize that by providing decision support for designers 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). Foundational to PDSIDES are our earlier publications that are anchored in modeling decision-related knowledge with templates using ontologies 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 (c) 2018 by ASME
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