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

2017 ◽  
Author(s):  
Ru Wang ◽  
Guoxin Wang ◽  
Yan Yan ◽  
Maryam Sabeghi ◽  
Zhenjun Ming ◽  
...  
Keyword(s):  
Decision Making Process ◽  
Thermal System ◽  
Design Decision ◽  
Design Processes ◽  
Future Design ◽  
Complex Engineered Systems ◽  
Hierarchical Decision ◽  
Enterprise Agility ◽  
Engineered Systems ◽  
Product And Process

Utilizing the enterprise capital related the knowledge of design processes has become a crucial to improve enterprise agility and respond to shifts or changes in markets. The complexity and uncertainty of design processes raise the challenge of capturing tacit knowledge and the ability to provide assistance in designing design processes. In this paper, an 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), taking into account 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 method of building procedure and design of process templates are 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.

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

2018 ◽  
Vol 19 (1) ◽  
Author(s):  
Ru Wang ◽  
Guoxin Wang ◽  
Yan Yan ◽  
Maryam Sabeghi ◽  
Zhenjun Ming ◽  
...  
Keyword(s):  
Decision Making Process ◽  
Thermal System ◽  
Design Decision ◽  
Design Processes ◽  
Future Design ◽  
Complex Engineered Systems ◽  
Hierarchical Decision ◽  
Enterprise Agility ◽  
Engineered Systems ◽  
Product And Process

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.

Estimate Uncertainty: Miscommunication About Definitions of Engineering Terminology

2019 ◽  
Vol 142 (7) ◽  
Author(s):  
John Meluso ◽  
Jesse Austin-Breneman ◽  
Jose Uribe
Keyword(s):  
System Performance ◽  
Large Scale ◽  
Phase 1 ◽  
Parameter Estimate ◽  
Fortune 500 ◽  
System Level ◽  
Future Design ◽  
Complex Engineered Systems ◽  
Current Design ◽  
Engineered Systems

Abstract Communication has been shown to affect the design of large-scale complex engineered systems. Drawing from engineering design, communication, and management literature, this work defines miscommunication as when communication results in a “deficiency” or “problem” that hinders parties from fulfilling their values. This article details a consequential example of miscommunication at a Fortune 500 engineering firm with the potential to affect system performance. In phase 1, interviews with engineering practitioners (n = 82) identified disagreement about what constitutes a parameter “estimate” in the design process. Phase 2 surveyed engineering practitioners (n = 128) about whether estimates communicated for system-level tracking approximate “current” design statuses or “future” design projections. The survey found that both definitions existed throughout the organization and did not correlate with subsystem, position, or design phase. Engineers inadvertently aggregated both current and future estimates into single system-level parameters that informed decision-making, thereby constituting widespread or systemic miscommunication. Thus, even technical concepts may be susceptible to miscommunication and could affect system performance.

Toward a Value-Driven Design Approach for Complex Engineered Systems Using Trade Space Exploration Tools

2014 ◽  
Author(s):  
Simon W. Miller ◽  
Timothy W. Simpson ◽  
Michael A. Yukish ◽  
Gary Stump ◽  
Bryan L. Mesmer ◽  
...  
Keyword(s):  
Data Visualization ◽  
Space Exploration ◽  
Systems Design ◽  
Design Decision ◽  
Value Functions ◽  
Complex Engineered Systems ◽  
A Value ◽  
Trade Offs ◽  
Engineered Systems ◽  
Trade Space Exploration

Design decision-making involves trade-offs between many design variables and attributes, which can be difficult to model and capture in complex engineered systems. To choose the best design, the decision-maker is often required to analyze many different combinations of these variables and attributes and process the information internally. Trade Space Exploration (TSE) tools, including interactive and multi-dimensional data visualization, can be used to aid in this process and provide designers with a means to make better decisions, particularly during the design of complex engineered systems. In this paper, we investigate the use of TSE tools to support decision-makers using a Value-Driven Design (VDD) approach for complex engineered systems. A VDD approach necessitates a rethinking of trade space exploration. In this paper, we investigate the different uses of trade space exploration in a VDD context. We map a traditional TSE process into a value-based trade environment to provide greater decision support to a design team during complex systems design. The research leverages existing TSE paradigms and multi-dimensional data visualization tools to identify optimal designs using a value function for a system. The feasibility of using these TSE tools to help formulate value functions is also explored. A satellite design example is used to demonstrate the differences between a VDD approach to design complex engineered systems and a multi-objective approach to capture the Pareto frontier. Ongoing and future work is also discussed.

Rave: A Computational Framework to Facilitate Research in Design Decision Support

2012 ◽  
Vol 12 (2) ◽  
Author(s):  
Matthew J. Daskilewicz ◽  
Brian J. German
Keyword(s):  
Decision Support ◽  
Wide Spectrum ◽  
Problem Formulation ◽  
Design Decision ◽  
Computational Framework ◽  
Complex Engineered Systems ◽  
Research Platform ◽  
Engineered Systems ◽  
Support Methods ◽  
Design Decision Support

The cognitive challenges in the design of complex engineered systems include the scale and scope of decision problems, nonlinearity of the trade space, subjectivity of the problem formulation, and the need for rapid decision making. These challenges have motivated an active area of research in design decision-support methods and the development of commercial and openly available design frameworks. Although these frameworks are extremely capable, most are limiting as a basis for research relating to design decision support because they offer little user flexibility for incorporating and evaluating new features or techniques. This paper describes Rave (www.rave.gatech.edu), a computational framework designed specifically as a research platform for design decision-support methods. Rave has been structured to be flexible and adaptable, handle data with systematic data structures and descriptive metadata, facilitate a wide spectrum of visualization types, provide features to enable user interactivity and linking of graphics, and incorporate surrogate modeling and optimization as enabling capabilities. This framework is envisioned to provide the research and industrial communities an easily expandable and customizable baseline capability to facilitate investigation of further design decision-support advancements.

Ontology-Based Representation of Design Decision Hierarchies

2016 ◽  
Author(s):  
Zhenjun Ming ◽  
Yan Yan ◽  
Guoxin Wang ◽  
Jitesh H. Panchal ◽  
Chung Hyun Goh ◽  
...  
Keyword(s):  
Decision Support ◽  
Engineering Design ◽  
Building Blocks ◽  
Design Decision ◽  
Information Flows ◽  
Knowledge Modeling ◽  
Frame Design ◽  
Complex Engineered Systems ◽  
Portal Frame ◽  
Engineered Systems

It is efficacious to capture and represent the knowledge for decision support in engineering design. Ontology is a promising knowledge modeling scheme in the engineering domain. In this paper, an ontology is proposed for capturing, representing and documenting the knowledge related to hierarchical decisions in the design of complex engineered systems. The ontology is developed based on the coupled Decision Support Problem (DSP) construct, taking into consideration the requirements for a computational model that represents a decision hierarchy. Key to the ontology is the concept of two classes, namely, Process which represents the basic hierarchy building blocks where the DSPs are embedded, and Interface which represents the DSP information flows that link different Processes to a hierarchy. The efficacy of the ontology is demonstrated using a portal frame design example.

scholarly journals Virtual Instruments for Urban Design Decision-Making Process

2021 ◽  
Author(s):  
Marc Aurel Schnabel ◽  
Shuva Chowdhury
Keyword(s):  
Decision Making ◽  
Urban Design ◽  
Virtual Instruments ◽  
Decision Making Process ◽  
Design Decision

No description supplied

scholarly journals Forensic Engineering Use Of Fault Tree Analysis

2006 ◽  
Vol 23 (2) ◽  
Author(s):  
Frank H. Johnson ◽  
DeWitt William E.
Keyword(s):  
Fault Tree ◽  
Fault Tree Analysis ◽  
Tree Analysis ◽  
Complex Engineered Systems ◽  
Track Record ◽  
Forensic Engineering ◽  
Fire And Explosion ◽  
Engineered Systems ◽  
Analytical Tools

Analytical Tools, Like Fault Tree Analysis, Have A Proven Track Record In The Aviation And Nuclear Industries. A Positive Tree Is Used To Insure That A Complex Engineered System Operates Correctly. A Negative Tree (Or Fault Tree) Is Used To Investigate Failures Of Complex Engineered Systems. Boeings Use Of Fault Tree Analysis To Investigate The Apollo Launch Pad Fire In 1967 Brought National Attention To The Technique. The 2002 Edition Of Nfpa 921, Guide For Fire And Explosion Investigations, Contains A New Chapter Entitled Failure Analysis And Analytical Tools. That Chapter Addresses Fault Tree Analysis With Respect To Fire And Explosion Investigation. This Paper Will Review The Fundamentals Of Fault Tree Analysis, List Recent Peer Reviewed Papers About The Forensic Engineering Use Of Fault Tree Analysis, Present A Relevant Forensic Engineering Case Study, And Conclude With The Results Of A Recent University Study On The Subject.

scholarly journals Virtual Instruments for Urban Design Decision-Making Process

2021 ◽  
Author(s):  
Marc Aurel Schnabel ◽  
Shuva Chowdhury
Keyword(s):  
Decision Making ◽  
Urban Design ◽  
Virtual Instruments ◽  
Decision Making Process ◽  
Design Decision

No description supplied

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