Preliminary Design Support System Based on a Generic Under-Constraint Solving Technique

2000 ◽  
Author(s):  
Hiroyuki Sawada ◽  
Xiu-Tian Yan
Keyword(s):  
Decision Making ◽  
Product Design ◽  
Engineering Design ◽  
Design Problem ◽  
Design Parameters ◽  
Problem Solver ◽  
Decision Making Process ◽  
Design Decision ◽  
Novel Approach ◽  
Design Support System

Abstract Engineering design is an intensive decision making process. A designer with an informative and insightful decision making support can usually produce high quality product design solutions with less or no rework. However, with current support designers very often face challenge or even difficulties as more and more design parameters come into design decision making process when a design progresses. This paper proposes a novel approach to providing designers with such a decision support by using under-constraint design problem solver. It is argued that design requirements represented in the form of Product Design Specifications (PDSs) can be converted into a set of related constraint expressions. These PDS constraint sets, which are usually incomplete, i.e., under-constrained, can then be solved by the solver to provide a designer with guided solutions for each design parameter, thus support a designer to make an informative and insightful design decision. A case study is finally presented in the paper to demonstrate how this approach is used to solve a real engineering design problem — a robotic finger system design.

scholarly journals A HYBRID KANSEI ENGINEERING SYSTEM USING THE SELF-ORGANIZING MAP NEURAL NETWORK

2016 ◽  
Vol 2 (1) ◽  
pp. 23-38
Author(s):  
C.S. Teh ◽  
C.P. Lim
Keyword(s):  
Neural Network ◽  
Decision Making ◽  
Product Design ◽  
The Self ◽  
Design Parameters ◽  
Decision Making Process ◽  
Engineering System ◽  
Self Organizing Map ◽  
Kansei Engineering ◽  
Self Organizing

Kansei Engineering (KE), a technology founded in Japan initially for product design, translates human feelings into design parameters. Although various intelligent approaches to objectively model human functions and the relationships with the product design decisions have been introduced in KE systems, many of the approaches are not able to incorporate human subjective feelings and preferences into the decision-making process. This paper proposes a new hybrid KE system that attempts to make the machine-based decision-making process closely resembles the real-world practice. The proposed approach assimilates human perceptive and associative abilities into the decision-making process of the computer. A number of techniques based on the Self-Organizing Map (SOM) neural network are employed in the backward KE system to reveal the underlying data structures that are involved in the decision-making process. A case study on interior design is presented to evaluate the efficacy of the proposed approach. The results obtained demonstrate the effectiveness of the proposed approach in developing an intelligent KE system which is able to combine human feelings and preferences into its decision making process.

Computationally Efficient Imprecise Uncertainty Propagation in Engineering Design and Decision Making

2012 ◽  
Author(s):  
Dipanjan D. Ghosh ◽  
Andrew Olewnik
Keyword(s):  
Decision Making ◽  
Engineering Design ◽  
Computational Efficiency ◽  
Design Problem ◽  
Uncertainty Propagation ◽  
Future Research ◽  
Parameter Estimates ◽  
Design Decision ◽  
Computationally Efficient ◽  
Imprecise Uncertainty

Modeling uncertainty through probabilistic representation in engineering design is common and important to decision making that considers risk. However, representations of uncertainty often ignore elements of “imprecision” that may limit the robustness of decisions. Further, current approaches that incorporate imprecision suffer from computational expense and relatively high solution error. This work presents the Computationally Efficient Imprecise Uncertainty Propagation (CEIUP) method which draws on existing approaches for propagation of imprecision and integrates sparse grid numerical integration to provide computational efficiency and low solution error for uncertainty propagation. The first part of the paper details the methodology and demonstrates improvements in both computational efficiency and solution accuracy as compared to the Optimized Parameter Sampling (OPS) approach for a set of numerical case studies. The second half of the paper is focused on estimation of non-dominated design parameter spaces using decision policies of Interval Dominance and Maximality Criterion in the context of set-based sequential design-decision making. A gear box design problem is presented and compared with OPS, demonstrating that CEIUP provides improved estimates of the non-dominated parameter range for satisfactory performance with faster solution times. Parameter estimates obtained for different risk attitudes are presented and analyzed from the perspective of Choice Theory leading to questions for future research. The paper concludes with an overview of design problem scenarios in which CEIUP is the preferred method and offers opportunities for extending the method.

Planning of sport and recreational facilities informed by interdisciplinary knowledge

2019 ◽  
Vol 13 (2) ◽  
pp. 349-367 ◽  
Author(s):  
Mikkel Hjort ◽  
W. Mike Martin ◽  
Jens Troelsen
Keyword(s):  
Decision Making ◽  
Design Process ◽  
Design Strategy ◽  
End Users ◽  
Design Parameters ◽  
Decision Making Process ◽  
Design Decision ◽  
Content Type ◽  
Interdisciplinary Knowledge ◽  
Sport And Recreation

Purpose The purpose of this paper is to develop a design strategy that investigates the systematic use of interdisciplinary knowledge through a transparent decision-making process. The study identifies relevant design parameters that should be considered in the development of this design strategy. Design/methodology/approach The empirical data were collected through observations of the design process of two new sport facilities, meetings with sport, well-being and aging experts and through semi-structured interviews with end-users. The development of the proposed design strategy is based on a methodology with elements from “Knowledge to Action (KTA),” “Action research” and a “List of value concepts.” The rigid timetable guaranteed systematic progress, where both knowledge from the end-users and experts were incorporated throughout the decision-making process. Findings The two case studies documented results involving end-users and experts in a systematic way. In conclusion, it was apparent that the use of interdisciplinary collaboration informed the design outcome. Practical implications Based on the two cases, the following advice can be given to the architectural profession: architects should use the KTA model or similar in order to target the search for relevant interdisciplinary knowledge and ensure that relevant evidence is involved in the design process of upcoming projects regarding sport and recreation. Architects should make the design process transparent so that one can see which design decisions have been made through the design process. This must be done to ensure that there is greater coherence between vision and practice. Originality/value The study showed how architects could import knowledge, skills and values from other disciplines such as environmental psychology and active living research to improve the decision-making process of future sport and recreation projects. It was also clear that this design decision process could be made more transparent in the effort to allow the various stakeholders to take ownership of the resulting design outcomes.

scholarly journals Integrating Value Considerations in the Decision Making for the Design of Biorefineries

2020 ◽  
Vol 26 (6) ◽  
pp. 2927-2955
Author(s):  
Mar Palmeros Parada ◽  
Lotte Asveld ◽  
Patricia Osseweijer ◽  
John Alexander Posada
Keyword(s):  
Decision Making ◽  
Complex Systems ◽  
Research And Development ◽  
Design Process ◽  
Design Decision ◽  
Value Sensitive Design ◽  
Design Practice ◽  
Novel Approach ◽  
Design Alternatives ◽  
Biobased Production

AbstractBiobased production has been promoted as a sustainable alternative to fossil resources. However, controversies over its impact on sustainability highlight societal concerns, value tensions and uncertainties that have not been taken into account during its development. In this work, the consideration of stakeholders’ values in a biorefinery design project is investigated. Value sensitive design (VSD) is a promising approach to the design of technologies with consideration of stakeholders’ values, however, it is not directly applicable for complex systems like biorefineries. Therefore, some elements of VSD, such as the identification of relevant values and their connection to a technology’s features, are brought into biorefinery design practice. Midstream modulation (MM), an approach to promoting the consideration of societal aspects during research and development activities, is applied to promote reflection and value considerations during the design decision making. As result, it is shown that MM interventions during the design process led to new design alternatives in support of stakeholders' values, and allowed to recognize and respond to emerging value tensions within the scope of the project. In this way, the present work shows a novel approach for the technical investigation of VSD, especially for biorefineries. Also, based on this work it is argued that not only reflection, but also flexibility and openness are important for the application of VSD in the context of biorefinery design.

Arrow's Theorem and Engineering Design Decision Making

1999 ◽  
Vol 11 (4) ◽  
pp. 218-228 ◽  
Author(s):  
Michael J. Scott ◽  
Erik K. Antonsson
Keyword(s):  
Decision Making ◽  
Engineering Design ◽  
Design Decision ◽  
Arrow’S Theorem ◽  
Arrow's Theorem

scholarly journals Computational intelligence in product design engineering: review and trends

2021 ◽  
Author(s):  
Filippo A. Salustri
Keyword(s):  
Decision Making ◽  
Product Design ◽  
Engineering Design ◽  
Computational Intelligence ◽  
Design Automation ◽  
State Of The Art ◽  
Design Engineering ◽  
Broad Perspective ◽  
Research Issues ◽  
Product Engineering

Product design engineering is undergoing a transformation from informal and largely experience-based discipline to a science-based domain. Computational intelligence offers models and algorithms that can contribute greatly to design formalization and automation. This paper surveys computational intelligence concepts and approaches applicable to product design engineering. Taxonomy of the surveyed literature is presented according to the generally recognized areas in both product design engineering and computational intelligence. Some research issues that arise from the broad perspective presented in the paper have been signaled but not fully pursued. No survey of such a broad field can be complete, however, the material presented in the paper is a summary of state-of-the-art computational intelligence concepts and approaches in product design engineering. Keywords: Computational intelligence, engineering design, product engineering, decision making, design automation

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 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

Public Involvement in the Design of Public Projects

2019 ◽  
Vol 44 (4) ◽  
pp. 73-79
Author(s):  
Emad S. Mushtaha ◽  
Omar Hassan Omar ◽  
Dua S. Barakat ◽  
Hessa Al-Jarwan ◽  
Dima Abdulrahman ◽  
...  
Keyword(s):  
Decision Making ◽  
Design Process ◽  
Public Involvement ◽  
Decision Making Process ◽  
Quantitative Methodology ◽  
Public Project ◽  
The Public ◽  
Public Projects ◽  
Novel Approach ◽  
Building Program

The involvement of the public in the decision-making process is essential, especially in the early stages of a design process. This study aims to achieve the development of an architectural program for a memorial public project, using the outcomes of the Analytical Hierarchy Process (AHP) based on public opinion. It employs a novel approach that sharply focuses on public involvement in the design process, using a quantitative methodology for the development of a suitable building program and selecting a memorial form that meets the public's needs in a practical way. The study drew on data from various memorial projects to identify possible spaces and their selection criteria. A written questionnaire was distributed to a sample of 105 members of the public, to narrow down the number of spaces according to public response. Then, a hearing (spoken) questionnaire was conducted on a sample of 20 to produce the program for development by generating the most strongly preferred form of memorial. The results contradicted the existing norm for a memorial as a sculpture; it was revealed that most of the public preferred memorial landscapes to buildings and great structures. The study concluded that AHP could be used to further involve the relevant stakeholders in the decision-making process of the design of a public project.

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