scholarly journals The Meaning of “Near” and “Far”: The Impact of Structuring Design Databases and the Effect of Distance of Analogy on Design Output

2013 ◽  
Vol 135 (2) ◽  
Author(s):  
Katherine Fu ◽  
Joel Chan ◽  
Jonathan Cagan ◽  
Kenneth Kotovsky ◽  
Christian Schunn ◽  
...  
Keyword(s):  
Engineering Design ◽  
Design Process ◽  
Design Problem ◽  
Semantic Analysis ◽  
Cognitive Engineering ◽  
Design Solution ◽  
Data Mapping ◽  
Design Study ◽  
Design By Analogy ◽  
The Impact

This work lends insight into the meaning and impact of “near” and “far” analogies. A cognitive engineering design study is presented that examines the effect of the distance of analogical design stimuli on design solution generation, and places those findings in context of results from the literature. The work ultimately sheds new light on the impact of analogies in the design process and the significance of their distance from a design problem. In this work, the design repository from which analogical stimuli are chosen is the U.S. patent database, a natural choice, as it is one of the largest and easily accessed catalogued databases of inventions. The “near” and “far” analogical stimuli for this study were chosen based on a structure of patents, created using a combination of latent semantic analysis and a Bayesian based algorithm for discovering structural form, resulting in clusters of patents connected by their relative similarity. The findings of this engineering design study are juxtaposed with the findings of a previous study by the authors in design by analogy, which appear to be contradictory when viewed independently. However, by mapping the analogical stimuli used in the earlier work into similar structures along with the patents used in the current study, a relationship between all of the stimuli and their relative distance from the design problem is discovered. The results confirm that “near” and “far” are relative terms, and depend on the characteristics of the potential stimuli. Further, although the literature has shown that “far” analogical stimuli are more likely to lead to the generation of innovative solutions with novel characteristics, there is such a thing as too far. That is, if the stimuli are too distant, they then can become harmful to the design process. Importantly, as well, the data mapping approach to identify analogies works, and is able to impact the effectiveness of the design process. This work has implications not only in the area of finding inspirational designs to use for design by analogy processes in practice, but also for synthesis, or perhaps even unification, of future studies in the field of design by analogy.

scholarly journals The Meaning of “Near” and “Far”: The Impact of Structuring Design Databases and the Effect of Distance of Analogy on Design Output

2012 ◽  
Author(s):  
Katherine Fu ◽  
Joel Chan ◽  
Jonathan Cagan ◽  
Kenneth Kotovsky ◽  
Christian Schunn ◽  
...  
Keyword(s):  
Engineering Design ◽  
Design Process ◽  
Design Problem ◽  
Semantic Analysis ◽  
Cognitive Engineering ◽  
Design Solution ◽  
Data Mapping ◽  
Design Study ◽  
Design By Analogy ◽  
The Impact

This work lends insight into the meaning and impact of “near” and “far” analogies. A cognitive engineering design study is presented that examines the effect of the distance of analogical design stimuli on design solution generation, and places those findings in context of results from the literature. The work ultimately sheds new light on the impact of analogies in the design process and the significance of their distance from a design problem. In this work, the design repository from which analogical stimuli are chosen is the U.S. patent database, a natural choice, as it is one of the largest and easily accessed catalogued databases of inventions. The “near” and “far” analogical stimuli for this study were chosen based on a structure of patents, created using a combination of Latent Semantic Analysis and a Bayesian based algorithm for discovering structural form, resulting in clusters of patents connected by their relative similarity. The findings of this engineering design study are contextualized with the findings of recent work in design by analogy, by mapping the analogical stimuli used in the earlier work into similar structures along with the patents used in the current study. Doing so allows the discovery of a relationship between all of the stimuli and their relative distance from the design problem. The results confirm that “near” and “far” are relative terms, and depend on the characteristics of the potential stimuli. Further, although the literature has shown that “far” analogical stimuli are more likely to lead to the generation innovative solutions with novel characteristics, there is such a thing as too far. That is, if the stimuli are too distant, they then can become harmful to the design process. Importantly, as well, the data mapping approach to identify analogies works, and is able to impact the effectiveness of the design process. This work has implications not only in the area of finding inspirational designs to use for design by analogy processes in practice, but also for synthesis, or perhaps even unification, of future studies in the field of design by analogy.

Design Team Convergence: The Influence of Example Solution Quality

2010 ◽  
Vol 132 (11) ◽  
Author(s):  
Katherine Fu ◽  
Jonathan Cagan ◽  
Kenneth Kotovsky
Keyword(s):  
Problem Solving ◽  
Engineering Design ◽  
Semantic Analysis ◽  
Cognitive Engineering ◽  
Design Solution ◽  
Solution Quality ◽  
Team Members ◽  
Solution Approach ◽  
Over Time

This study examines how engineering design teams converge upon a solution to a design problem and how their solution is influenced by information given to them prior to problem solving. Specifically, the study considers the influence of the type of information received prior to problem solving on team convergence over time, as well as on the quality of produced solutions. To understand convergence, a model of the team members’ solution approach was developed through a cognitive engineering design study, specifically examining the effect of the introduction of a poor example solution or a good example solution prior to problem solving on the quality of the produced solutions. Latent semantic analysis was used to track the teams’ convergence, and the quality of design solutions was systematically assessed using pre-established criteria and multiple evaluators. Introducing a poor example solution was shown to decrease teams’ convergence over time, as well as the quality of their design solution; introducing a good example solution did not produce a statistically significant different effect on convergence compared with the control (with no prior example solution provided) but did lead to higher quality solutions.

A framework for supporting multidisciplinary engineering design exploration and life-cycle design using underconstrained problem solving

2006 ◽  
Vol 20 (4) ◽  
pp. 329-350 ◽  
Author(s):  
XIU-TIAN YAN ◽  
HIROYUKI SAWADA
Keyword(s):  
Life Cycle ◽  
Engineering Design ◽  
Design Process ◽  
Design Problem ◽  
Solution Space ◽  
Design Approach ◽  
Design Solution ◽  
Design Parameters ◽  
Life Cycle Design ◽  
Algebraic Constraint

The problem investigated in this research is that engineering design decision making can be complicated and made difficult by highly coupled design parameters and the vast number of design parameters. This complication often hinders the full exploration of a design solution space in order to generate optimal design solution. These hindrances result in inferior or unfit design solutions generated for a given design problem due to a lack of understanding of both the problem and the solution space. This research introduces a computational framework of a new algebraic constraint-based design approach aimed at providing a deeper understanding of the design problem and enabling the designers to gain insights to the dynamic solution space and the problem. This will enable designers to make informed decisions based on the insights derived from parameter relationships extracted. This paper also describes an enhanced understanding of an engineering design process as a constraint centered design. It argues that with more effort and appreciation of the benefits derived from this constraint-based design approach, engineering design can be advanced significantly by first generating a more quantitative product design specification and then using these quantitative statements as the basis for constraint-based rigorous design. The approach has been investigated in the context of whole product life-cycle design and multidisciplinary design, aiming to derive a generic constraint-based design approach that can cope with life-cycle design and different engineering disciplines. A prototype system has been implemented based on a constraint-based system architecture. The paper gives details of the constraint-based design process through illustrating a worked real design example. The successful application of the approach in two highly coupled engineering design problems and the evaluation undertaken by a group of experienced designers show that the approach does provide the designers with insights for better exploration, enabled by the algebraic constraint solver. The approach thus provides a significant step towards fuller scale constraint-based scientific design.

Categorization of Information Loss During the Dissemination of Design Ideas

2018 ◽  
Author(s):  
Victoria Zhao ◽  
Conrad S. Tucker
Keyword(s):  
Engineering Design ◽  
Design Process ◽  
Information Source ◽  
Information Loss ◽  
Design Solution ◽  
Sources Of Information ◽  
Comprehensive Review ◽  
Engineering Design Process ◽  
Design Idea ◽  
Design Ideas

Information is transferred through a process consisting of an information source, a transmitter, a channel, a receiver and its destination. Unfortunately, during different stages of the engineering design process, there is a risk of a design idea or solution being incorrectly interpreted due to the nonlinearity of engineering design. I.e., there are many ways to communicate a single design idea or solution. This paper provides a comprehensive review and categorization of the possible sources of information loss at different stages of the engineering design process. Next, the authors present an approach that seeks to minimize information loss during certain stages of the engineering design process. The paper i) explores design process and dissemination methods in engineering design; ii) reviews prior work pertaining to these stages of the engineering design process and iii) proposes an information entropy metric that designers can utilize in order to quantify information loss at different stages of the engineering design process. Knowledge gained from this work will aid designers in selecting a suitable dissemination solution needed to effectively achieve a design solution.

Quantifying the Impact of Domain Knowledge and Problem Framing on Sequential Decisions in Engineering Design

2018 ◽  
Vol 140 (10) ◽  
Author(s):  
Murtuza Shergadwala ◽  
Ilias Bilionis ◽  
Karthik N. Kannan ◽  
Jitesh H. Panchal
Keyword(s):  
Engineering Design ◽  
Information Acquisition ◽  
Design Problem ◽  
Domain Knowledge ◽  
Optimization Problem ◽  
Domain Specific ◽  
Problem Framing ◽  
Design Solutions ◽  
The Impact ◽  
Domain Independent

Many decisions within engineering systems design are typically made by humans. These decisions significantly affect the design outcomes and the resources used within design processes. While decision theory is increasingly being used from a normative standpoint to develop computational methods for engineering design, there is still a significant gap in our understanding of how humans make decisions within the design process. Particularly, there is lack of knowledge about how an individual's domain knowledge and framing of the design problem affect information acquisition decisions. To address this gap, the objective of this paper is to quantify the impact of a designer's domain knowledge and problem framing on their information acquisition decisions and the corresponding design outcomes. The objective is achieved by (i) developing a descriptive model of information acquisition decisions, based on an optimal one-step look ahead sequential strategy, utilizing expected improvement maximization, and (ii) using the model in conjunction with a controlled behavioral experiment. The domain knowledge of an individual is measured in the experiment using a concept inventory, whereas the problem framing is controlled as a treatment variable in the experiment. A design optimization problem is framed in two different ways: a domain-specific track design problem and a domain-independent function optimization problem (FOP). The results indicate that when the problem is framed as a domain-specific design task, the design solutions are better and individuals have a better state of knowledge about the problem, as compared to the domain-independent task. The design solutions are found to be better when individuals have a higher knowledge of the domain and they follow the modeled strategy closely.

Customizing Products Using Functional Component Matrices

2008 ◽  
Author(s):  
Ali Kamyab ◽  
Kemper E. Lewis
Keyword(s):  
Engineering Design ◽  
Design Process ◽  
Change Propagation ◽  
Modern Design ◽  
Functional Component ◽  
Engineering Design Process ◽  
Function Change ◽  
Product Customization ◽  
The Impact ◽  
Component Matrix

Modern design methodologies have used Function Component Matrices in a variety of different ways in order to support various facets of an engineering design process. The mapping of functions to components can be used to model and capture the dependencies and relationships that exist. This process is accomplished by breaking down complicated functions into smaller, easier to understand functions. This decomposition allows engineers to get a better understanding for how a change in each component within a product will affect the overall operation of the product. Being able to recognize the impact of the propagation of a sub-function change will give designers a better understanding of the flexibility (or lack thereof) of choices they have when designing a product for customization. In turn they can be used to inform the consumer regarding the consequences their customization choices can have on the final product. This paper discusses how a Functional Component Matrix (FCM) can be used to assist in this process of product customization and understanding change propagation.

scholarly journals CASE STUDY IN SYSTEMATIC DESIGN ENGINEERING – STAGE BARGE GANGWAY

2013 ◽  
Author(s):  
W. Ernst Eder
Keyword(s):  
Engineering Design ◽  
Design Process ◽  
Design Problem ◽  
Design Science ◽  
Process Engineering ◽  
Design Engineering ◽  
Learning Design ◽  
Systematic Design ◽  
Novel Design

Students learning design engineering at times need a good example of procedure for novel design engineering. The systematic heuristic-strategic use of a theory to guide the design process – Engineering Design Science – and the methodical design process followed in this case study is only necessary in limited situations. The full procedure should be learned, such that the studentcan select appropriate parts for other applications.This case example is presented to show application of the recommended method, and the expected scope of the output, with emphasis on the stages of conceptualizing. The case follows a novel design problem of a gangway for ship-shore transfer for the Caravan Stage Barge.

Can Design Teams Be Empathically Creative? A Simulation-Based Investigation on the Role of Team Empathy on Concept Generation and Selection

2020 ◽  
Author(s):  
Mohammad Alsager Alzayed ◽  
Scarlett R. Miller ◽  
Jessica Menold ◽  
Jacquelyn Huff ◽  
Christopher McComb
Keyword(s):  
Engineering Design ◽  
Design Process ◽  
Engineering Students ◽  
Computational Simulation ◽  
Idea Generation ◽  
First Year ◽  
Concept Generation ◽  
Team Members ◽  
Design Activities ◽  
The Impact

Abstract Research on empathy has been surging in popularity in the engineering design community since empathy is known to help designers develop a deeper understanding of the users’ needs. Because of this, the design community has been invested in devising and assessing empathic design activities. However, research on empathy has been primarily limited to individuals, meaning we do not know how it impacts team performance, particularly in the concept generation and selection stages of the design process. Specifically, it is unknown how the empathic composition of teams, average (elevation) and standard deviation (diversity) of team members’ empathy, would impact design outcomes in the concept generation and selection stages of the design process. Therefore, the goal of the current study was to investigate the impact of team trait empathy on concept generation and selection in an engineering design student project. This was accomplished through a computational simulation of 13,482 teams of noninteracting brainstorming individuals generated by a statistical bootstrapping technique drawing upon a design repository of 806 ideas generated by first-year engineering students. The main findings from the study indicate that the elevation in team empathy positively impacted simulated teams’ unique idea generation and selection while the diversity in team empathy positively impacted teams’ generation of useful ideas. The results from this study can be used to guide team formation in engineering design.

scholarly journals CURRICULUM AS AN ENGINEERING DESIGN PROBLEM

2011 ◽  
Author(s):  
D. W. Ruth ◽  
M. G. Britton
Keyword(s):  
Engineering Design ◽  
Design Process ◽  
Design Problem ◽  
Mechanical Engineering ◽  
Engineering Program ◽  
Arts And Humanities ◽  
Engineering Design Process ◽  
The Arts ◽  
Engineering Design Problem ◽  
Rules Of Thumb

If the teaching of engineering is indeed the practice of engineering, then it stands to reason that the development of engineering curricula can be treated as an engineering design problem. In this paper, the authors apply the engineering design process to develop a list of courses, for a Mechanical Engineering Program, that conforms to the constraints of the Canadian system of engineering accreditation. For the purpose of this exercise, the following steps are used to define the engineering design process: identical and delimit the problem, establish the outline of the solution (and alternatives), break the problem into its constituent parts, analyze the parts, synthesize the parts into a final configuration, and document the solution. The limits and constraints on the solution are based on the criteria specified by the Canadian Engineering Accreditation Board (CEAB), the syllabus specified by the Canadian Engineering Qualifications Board (CEQB), some common rules-of-thumb, and previously published work by the authors. By utilizing the engineering design process, schools of engineering and applied science can ensure that their curricula, at least at the level of the course specification, will conform to the CEAB and CEQB requirements. As a final exercise, variations on the curriculum are studied to analyze the possibility of introducing such additional elements as options and minors, expanded studies in the arts and humanities, and development of skills in additional languages.

scholarly journals The Effects of Service-Based Learning on Metacognitive Strategies During an Engineering Design Task

2011 ◽  
Vol 6 (2) ◽  
pp. 1-18 ◽  
Author(s):  
Gay Lemons ◽  
Adam Carberry ◽  
Christopher Swan ◽  
Linda Jarvin
Keyword(s):  
Engineering Design ◽  
Design Process ◽  
Engineering Students ◽  
Large Body ◽  
Building Design ◽  
Learning Activities ◽  
Self Report ◽  
Design Task ◽  
Service Activities ◽  
The Impact

Service-based learning has become an emerging pedagogical tool for engineering education. Although there is a large body of literature reporting the benefits of service activities, most studies have relied on self-report measures and generalized learning contributions. Our evaluation went beyond self-perceptions by investigating the impact that service-based learning programs had on specific cognitive elements of engineering design. The primary goal of this project was to investigate what effects, if any, service activities had on the engineering design process. Verbal protocols were collected from ten engineering students during an open-ended, model-building design task. The five service students and five non-service students also completed post-task interviews and reflection papers. The students in our sample who had participated in service-based learning activities voiced more metacognitive phrases, demonstrated more accurate task analysis and clearer strategic planning skills, were more skilled at discriminating useful from superfluous information, and had a better understanding of clients’ needs and constraints. From our sample, it appears that participation in service-based learning activities enhances the design process of engineering students.

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