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 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

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 critical review of the developments in building adaptability

2017 ◽  
Vol 35 (4) ◽  
pp. 284-303 ◽  
Author(s):  
Oliver Heidrich ◽  
John Kamara ◽  
Sebastiano Maltese ◽  
Fulvio Re Cecconi ◽  
Mario Claudio Dejaco
Keyword(s):  
Decision Making ◽  
Critical Review ◽  
State Of The Art ◽  
Building Design ◽  
Design Criterion ◽  
Design Stage ◽  
Research Issues ◽  
Content Type ◽  
Research And Practice ◽  
Current State

Purpose This paper provides a critical review of developments in the adaptability of buildings. The purpose of this paper is to determine the current “state-of-the-art”, describe current thinking and trends in research and practice, and identify issues and gaps that further research can address. It provides a basis for a scientific and practical understanding of the interdependencies across different design criterion. This paper increases the awareness of architects, engineers, clients and users on the importance of adaptability and its role in lowering impacts over the lifecycle of buildings as part of the infrastructure system. Design/methodology/approach This paper draws mainly from the literature as its source of evidence. These were identified from established databases and search engines (e.g. Scopus, ISI Web of Knowledge and Google Scholar) using keywords such as adaptability, adaptable, adaptation, and flexibility. Over 80 sources including books, journal papers, conference proceedings, research reports and doctoral theses covering the period 1990 to 2017 were reviewed and categorised. An inductive approach was used to critically review and categorise these publications and develop a framework for analysis. Findings The concept of adaptability includes many dimensions which can broadly fall into two categories: changes to buildings and user adaptations to buildings. However, previous research has mostly focussed on the former, with many attempts to identify building attributes that facilitate adaptability, and some considerations for its assessment. Key areas that have not been adequately addressed and which require further research include: user/occupant adaptations, cost, benefits and implications of various adaptability measures, and the development of a standardised assessment methodology that could aid in decision making in the design stage of buildings. Research limitations/implications The adaptability strategies considered in this review focussed mainly on building components and systems, and did not include the contribution of intelligent and smart/biological systems. The coverage is further limited in scope due to the period considered (1990-2017) and the exclusion of terms such as “retrofit” and “refurbishment” from the review. However, the findings provide a solid basis for further research in the areas identified above. It identifies research issues and gaps in knowledge between the defined needs and current state-of-the-art on adaptive building for both research and practice. Originality/value This paper is a review of research into a highly topical subject, given the acknowledged need to adapt buildings over their lifecycle to environmental, economic or social changes. It provides further insights on the dimensions of adaptability and identifies areas for further research that will contribute to the development of robust tools for the assessment of building adaptability, which will enhance the decision-making process of building design and the development of a more sustainable built environment.

MODELING AN ABBREVIATED PRODUCT DESIGN CYCLE IN A FIRST-YEAR ENGINEERING DESIGN COURSE

2012 ◽  
Author(s):  
Patricia Kristine Sheridan ◽  
Jason A Foster ◽  
Geoffrey S Frost
Keyword(s):  
Product Design ◽  
Engineering Design ◽  
Conceptual Design ◽  
Design Project ◽  
University Of Toronto ◽  
Praxis Ii ◽  
Engineering Communication ◽  
Detail Design ◽  
Praxis I ◽  
Design Experience

All Engineering Science students at the University of Toronto take the cornerstone Praxis Sequence of engineering design courses. In the first course in the sequence, Praxis I, students practice three types of engineering design across three distinct design projects. Previously the final design project had the students first frame and then develop conceptual design solutions for a self-identified challenge. While this project succeeded in providing an appropriate foundational design experience, it failed to fully prepare students for the more complex design experience in Praxis II. The project also failed to ingrain the need for clear and concise engineering communication, and the students’ lack of understanding of detail design inhibited their ability to make practical and realistic design decisions. A revised Product Design project in Praxis I was designed with the primary aims of: (a) pushing students beyond the conceptual design phase of the design process, and (b) simulating a real-world work environment by: (i) increasing the interdependence between student teams and (ii) increasing the students’ perceived value of engineering communication.

scholarly journals Challenges for Experience Feedback in Engineering Design

2009 ◽  
Author(s):  
Henrik Nerga˚rd ◽  
Tobias Larsson
Keyword(s):  
Decision Making ◽  
Knowledge Sharing ◽  
Engineering Design ◽  
Empirical Finding ◽  
Qualitative Approach ◽  
Lessons Learned ◽  
Current Feedback ◽  
Active Dissemination ◽  
Different Levels

In this paper empirical finding from a study conducted at an aerospace company is compared to theory regarding Experience Feedback (EF), Lessons Learned (LL) and Decision Making (DM). The purpose with the study was to examine how EF within the organization was conducted and what problems and possibilities that was seen. A qualitative approach was taken and interviews and a workshop was conducted. The empirical findings show that EF exist on different levels within the organization but current feedback processes are currently leaning more towards archiving and storing than knowledge sharing and learning. Also passive dissemination approaches are mostly used whereas active dissemination within the correct context is needed The aim with this paper is to discuss issues and empirical findings that should be considered when creating work methods and systems that support learning by EF and LL dissemination.

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