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Research Papers

Ontology-Based Representation of Meta-Design in Designing Decision Workflows

[+] Author and Article Information
Ru Wang

School of Mechanical Engineering,
Beijing Institute of Technology,
No. 5 Zhongguancun South Street,
Haidian District,
Beijing 100081, China
e-mail: haitang.56@163.com

Guoxin Wang

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

Yan Yan

School of Mechanical Engineering,
Beijing Institute of Technology,
No. 5 Zhongguancun South Street,
Haidian District,
Beijing 100081, China
e-mail: yanyan331@bit.edu.cn

Maryam Sabeghi

School of Aerospace and Mechanical Engineering,
University of Oklahoma,
202 W. Boyd Street, Suite. 219,
Norman, OK 73019
e-mail: maryam.sabeghi@ou.edu

Zhenjun Ming

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

Janet K. Allen

Fellow ASME,
School of Industrial and Systems Engineering,
University of Oklahoma,
202 W. Boyd Street, Suite. 116,
Norman, OK 73019
e-mail: janet.allen@ou.edu

Farrokh Mistree

Fellow ASME,
School of Aerospace and Mechanical Engineering,
University of Oklahoma,
865 Asp Avenue, Felgar Hall, Room. 306,
Norman, OK 73019
e-mail: farrokh.mistree@ou.edu

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 July 6, 2017; final manuscript received September 7, 2018; published online October 26, 2018. Assoc. Editor: Yan Wang.

J. Comput. Inf. Sci. Eng 19(1), 011003 (Oct 26, 2018) (19 pages) Paper No: JCISE-17-1134; doi: 10.1115/1.4041474 History: Received July 06, 2017; Revised September 07, 2018

Utilizing the enterprise capital related the knowledge of design processes has become crucial to improve enterprise agility and respond to shifts or changes in markets. The complexity and uncertainty of design raise the challenge of capturing tacit knowledge and the ability to aid in designing design processes. In this paper, ontology is proposed for capturing, representing, and documenting the knowledge related to hierarchical decision workflows in the meta-design of complex engineered systems. The ontology is developed in the context of decision support problem technique (DSPT), considering the requirements being able to guide assistance in designing design workflows, and integrating problem, product, and process information in a design decision-making process. Then, the approach for building procedure of process templates is presented to facilitate the reuse of the populated template instances in future design. Finally, the meta-design of the heat exchanger in a small thermal system is presented as an example to illustrate the effectiveness of this approach.

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Figures

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Fig. 1

The DSPT palette entities for modeling process: (a) potential support problem entities, (b) base entities, and (c) transmission entities

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Fig. 2

Concept of class Process_Template

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Fig. 3

Concept of class SPs_Entity

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Fig. 4

Diagram of class Sys_Entity

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Fig. 5

Building procedure for the process template hierarchy

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Fig. 6

Shell and tube heat exchanger (one pass tube-side)

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Fig. 7

A model of the designing for concept phase

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Fig. 8

A model of the conceptual design event

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Fig. 9

A model of the preliminary design event

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Fig. 10

Process hierarchies for design process template

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Fig. 11

Specification of the model for design process template

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Fig. 12

Process hierarchies for phase process template

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Fig. 13

Specification of the model for phase process template

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Fig. 14

Process hierarchies for preliminary design event process template

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Fig. 15

Instance relationships for information of material concepts

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Fig. 16

Process hierarchies for design synthesis decision process template

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Fig. 17

Process hierarchies for the calculate task process template

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