A comparative analysis of information gathering meetings conducted by novice design teams across multiple design project stages

2021 ◽  
pp. 1-57
Author(s):  
Robert P. Loweth ◽  
Shanna Daly ◽  
Amy Hortop ◽  
Elizabeth A. Strehl ◽  
Kathleen H. Sienko

Abstract Designers often gather information, for instance through stakeholder or domain expert meetings, to understand their design problems and develop effective solutions. However, few previous studies have provided in-depth descriptions of novice engineering designers' approaches to conducting information gathering meetings. In this preliminary study, we analyzed data from six capstone mechanical engineering design teams to identify the types of individuals from whom teams gathered information, when these meetings occurred, and how teams solicited information during meetings. Teams in our study demonstrated a range of information gathering behaviors that aligned with recommended practices, particularly in their early meetings. Furthermore, we observed relatively few instances of teams exhibiting behaviors that were less similar to recommended practices during meetings. However, our findings also revealed two key trends across teams that represented specific opportunities for improvement and that may reflect novice approaches to conducting information gathering meetings. First, teams consistently explored domain experts' perspectives in depth during meetings but did not typically explore the perspectives of their project partners in similar depth. Teams also met with additional domain experts to inform their projects. In addition, teams seemed to finalize their design decisions in their early design meetings and were less likely to conduct information gathering meetings in later design phases. The comprehensive descriptions of novice mechanical engineering designers' approaches provided in our preliminary study provide an entry point for further investigations that can inform engineering training, tools, and pedagogy for conducting effective information gathering meetings.

Author(s):  
Robert P. Loweth ◽  
Shanna R. Daly ◽  
Kathleen H. Sienko ◽  
Amy Hortop ◽  
Elizabeth A. Strehl

Abstract User requirements and engineering specifications represent important criteria that engineering designers use to define their design problems and evaluate the suitability of their solution concepts. Novice designers frequently develop user requirements and engineering specifications as part of curricular design projects; however, few studies have explored how novice designers justify the user requirements and engineering specifications that they develop. This preliminary study analyzed the design reports of capstone design teams to determine how novice designer participants justified their user requirements and engineering specifications. Teams frequently used “Sponsor interactions” and “Perceptions of user needs” as justifications for user requirements but gathered limited data directly from users. As such, the user requirements developed by teams may have been based on team assumptions rather than actual user needs. Teams frequently used “Sponsor interactions,” “Technical research,” and “Prior work” as justifications for engineering specifications. However, teams also developed several engineering specifications without clear justifications. Our findings suggest that as novice designers develop their design skills, they may need scaffolding and support tools to guide the development of user requirements and engineering specifications that accurately reflect user needs.


2009 ◽  
pp. 2360-2383
Author(s):  
Guntis Barzdins ◽  
Janis Barzdins ◽  
Karlis Cerans

This chapter introduces the UML profile for OWL as an essential instrument for bridging the gap between the legacy relational databases and OWL ontologies. We address one of the long-standing relational database design problems where initial conceptual model (a semantically clear domain conceptualization ontology) gets “lost” during conversion into the normalized database schema. The problem is that such “loss” makes database inaccessible for direct query by domain experts familiar with the conceptual model only. This problem can be avoided by exporting the database into RDF according to the original conceptual model (OWL ontology) and formulating semantically clear queries in SPARQL over the RDF database. Through a detailed example we show how UML/OWL profile is facilitating this new and promising approach.


Author(s):  
Clinton Lanier ◽  
William S. Janna ◽  
John I. Hochstein

An innovative capstone design course titled “Design of Fluid Thermal Systems,” involves groups of seniors working on various semester-long design projects. Groups are composed of 3 or 4 members that bid competitively on various projects. Once projects are awarded, freshmen enrolled in the “Introduction to Mechanical Engineering” course are assigned to work with the senior design teams. The senior teams (Engineering Consulting Companies) function like small consulting companies that employ co-operative education students; e.g., the freshmen. In Fall 2006, the Engineering Consulting Companies also worked with students enrolled in a Technical Editing (TE) course—“Writing and Editing in the Professions”—within the English Department. The TE students would be given reports or instructional manuals that the Mechanical Engineering (ME) students had to write as part of their capstone project, and the resulting editing of their documents would be done by these TE students. Subsequently, the ME students were given a survey and asked to comment on this experience. In addition, the TE students were also surveyed and asked to comment as well. It was concluded that the collaboration should continue for at least one more cycle, and that the TE students were more favorably inclined toward this collaboration than were the engineering students.


Author(s):  
Justin Lai ◽  
Tomonori Honda ◽  
Maria C. Yang

AbstractUser-centered approaches to design can guide teams toward an understanding of users and aid teams in better posing design problems. This paper investigates the role of user-centered design approaches in design process and outcome within the context of design team projects. The value of interaction with users is examined at several stages throughout the design process. The influence of user-centered design on the performance of design teams is also explored. Results suggest that the quantity of interactions with users and time spent interacting with users alone is not linked with better design outcome, but that iterative evaluation of concepts by users may be of particular value to design prototypes. Suggestions are made based on the reflections from the authors after conducting this study.


Author(s):  
Thomas J. Hagedorn ◽  
Sundar Krishnamurty ◽  
Ian R. Grosse

Additive manufacturing (AM) offers significant opportunities for product innovation in many fields provided that designers are able to recognize the potential values of AM in a given product development process. However, this may be challenging for design teams without substantial experience with the technology. Design inspiration based on past successful applications of AM may facilitate application of AM even in relatively inexperienced teams. While designs for additive manufacturing (DFAM) methods have experimented with reuse of past knowledge, they may not be sufficient to fully realize AM's innovative potential. In many instances, relevant knowledge may be hard to find, lack context, or simply unavailable. This design information is also typically divorced from the underlying logic of a products' business case. In this paper, we present a knowledge based method for AM design ideation as well as the development of a suite of modular, highly formal ontologies to capture information about innovative uses of AM. This underlying information model, the innovative capabilities of additive manufacturing (ICAM) ontology, aims to facilitate innovative use of AM by connecting a repository of a business and technical knowledge relating to past AM products with a collection of knowledge bases detailing the capabilities of various AM processes and machines. Two case studies are used to explore how this linked knowledge can be queried in the context of a new design problem to identify highly relevant examples of existing products that leveraged AM capabilities to solve similar design problems.


Author(s):  
Zineb AIT HADDOUCHANE

This work is part of the improvement of the training of engineers who play an important role in the progress of companies. We were interested in the adequacy between training and job profiles. The skills frameworks are the interface that allows you to move from the world of training to the world of work, they focus on individuals, their cognitive skills and their individual skills through imitable statements. In this study, we will compare three benchmarks of international mechanical engineering skills from different bodies, namely Switzerland, France and England, according to criteria that have been deemed relevant. This comparison relates to the different macro-skills, their components as well as the training and evaluation situations which correspond to them. The above analysis allowed us to choose a skills framework which will serve as a basis for making improvements to the mechanical engineering training programs of the National School of Electricity and Mechanics.


Author(s):  
C. LELARDEUX ◽  
O. Baptista ◽  
B. Bacuez ◽  
M. GALAUP ◽  
S. Torki ◽  
...  

2018 ◽  
Author(s):  
Christopher McComb ◽  
Kenneth Kotovsky ◽  
Jonathan Cagan

Novel design methodologies are often evaluated through empirical studies involving human designers. However, such empirical studies can incur a high personnel cost. Further, it can be difficult to isolate the effects of specific team or individual characteristics. These limitations could be bypassed by employing a computational model of design teams. This work introduces the Cognitively-Inspired Simulated Annealing Teams (CISAT) modeling framework, an agent-based platform that provides a means for efficiently simulating human design teams. A number of empirically demonstrated cognitive phenomena are modeled within the platform, striking a balance between model simplicity and direct applicability to engineering design problems. This paper discusses the composition of the CISAT modeling framework and demonstrates how it can be used to simulate the performance of human design teams in a cognitive study. Results simulated with CISAT are compared directly to the results derived from human designers. Finally, the CISAT model is also used to investigate the characteristics that were most and least helpful to teams during the cognitive study.


Author(s):  
Amirali Ommi ◽  
Yong Zeng ◽  
Catharine C. Marsden

 Abstract – Engineering design is a decision making process that needs a good perception of the design problem to be solved. Design problems are usually solved in a team. Teams need the existence of a good design problem perception to create design solutions. This study provides an approach for elaborating a descriptive model to describe how the perception process works within a design team. This study is going to propose an approach for integrating a theoretical model of design creativity with team mental models, so they can be used for elaborating the descriptive model of perception in design teams. The NSERC Chair in Aerospace Design Engineering (NCADE) at Concordia University holds a capstone project which will be considered to be used as a test bed for validating proposed model through experimental analysis. Proposed experiments and further research are introduced at the end of paper.


2018 ◽  
Author(s):  
Christopher McComb

Teams are a ubiquitous part of the design process and a great deal of time and effort is devoted to managing them effectively. Although teams have the potential to search effectively for solutions, they are also prone to a number of pitfalls. Thus, a greater understanding of teams is necessary to ensure that they can function optimally across a variety of tasks. Teams are typically studied through controlled laboratory experiments or through longitudinal studies that observe teams in situ. However, both of these study types can be costly and time-consuming. Months, if not years, pass between the initial conception of a study and the final analysis of results. This work creates a computational framework that efficiently emulates human design teams, thus facilitating the derivation of a theory linking the properties of design problems to optimized team characteristics, effectively making it possible to design design teams.This dissertation first introduces and validates the Cognitively-Inspired Simulated Annealing Teams (CISAT) modeling framework. The central structure of CISAT is modeled after simulated annealing, a global optimization algorithm that has been shown to effectively mimic the problem-solving process of individuals. Specifically, a multi-agent analog of simulated annealing is used in CISAT to mimic the behavior of teams. Several additional components, drawn from the psychology and problem-solving literature, are then included in the framework to enable a more accurate description of individual activity and interaction within the team. CISAT is then used to investigate the relationship between design problem properties, team characteristics, and task performance. Multiple computational simulations are conducted in which simulated teams with various characteristics solve a variety of different configuration problems. These simulations are then post-processed to produce a set of equations that make it possible to predict optimal team characteristics based on problem properties, thus enabling the optimal design of design teams. To validate these equations a behavioral study is designed and conducted in which teams of engineering students interact at different frequencies while designing a complex system. Results of the study offer a limited validation of the predictive equations.This dissertation further highlights the resource efficiency and versatility of CISAT by demonstrating its use in two additional applications. In the first, a new numerical optimization algorithm is derived directly from CISAT by stripping away all but the most quintessential team-based characteristics. The team-based characteristics of this algorithm allow it to achieve high performance across a variety of objective function with diverse topographies. In the second application, CISAT is used in conjunction with Markov concepts to examine the order in which designers make changes to their solutions. Although it has been demonstrated that humans apply changes in a specific order (called a sequence) when solving puzzles, such patterns have not been examined for engineers solving design problems. It is shown that operation sequences are used by designers, and improve solution quality. This dissertation demonstrates how characteristics of individual designers and design teams can be captured and accurately reproduced within a computational model to advance our knowledge of design methodology. Future extensions of this work have the potential to inform a deeper and more holistic understanding of the search process.


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