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Research Papers

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

[+] Author and Article Information
Zhenjun Ming, Yan Yan

Beijing Institute of Technology,
Beijing 100081, China

Anand Balu Nellippallil, Farrokh Mistree

School of Aerospace and Mechanical
Engineering,
University of Oklahoma,
Norman 73019, OK

Guoxin Wang

School of Mechanical Engineering,
Institute for Industrial Engineering,
Beijing Institute of Technology,
No. 5 Zhongguancun South Street,
Haidian District,
Beijing 100081, China
e-mail: wangguoxin@bit.edu.cn

Chung Hyun Goh

Department of Mechanical Engineering,
The University of Texas at Tyler,
Tyler 75799, TX

Janet K. Allen

School of Industrial and Systems Engineering,
University of Oklahoma,
Norman 73019, OK

1Corresponding author.

Contributed by the Computers and Information Division of ASME for publication in the JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING. Manuscript received June 10, 2017; final manuscript received May 25, 2018; published online July 3, 2018. Assoc. Editor: Yan Wang.

J. Comput. Inf. Sci. Eng 18(4), 041001 (Jul 03, 2018) (14 pages) Paper No: JCISE-17-1114; doi: 10.1115/1.4040461 History: Received June 10, 2017; Revised May 25, 2018

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). PDSIDES is built on our earlier works 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.

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Figures

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Fig. 1

DSP templates and their associated modules

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Fig. 2

Ontologies in PDSIDES: (a) cDSP ontology [16], (b) hierarchical ontology [14], and (c) sDSP ontology [15]

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Fig. 4

Flowchart of decision-based design in PDSIDES

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Fig. 5

Knowledge-based decision support in PDSIDES

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Fig. 6

System architecture of PDSIDES

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Fig. 7

Frame-based realization of the ontology and associate instances

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Fig. 9

Creating the HRRS design decision template in PDSIDES

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Fig. 10

Decomposition of the original CDSP

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Fig. 11

Editing the HRRS design decision template in PDSIDES

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Fig. 12

Exercising the HRRS design decision template in PDSIDES

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Fig. 13

Ternary plot for ferrite fraction

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Fig. 14

Superimposed ternary plot

Tables

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