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11
One way of thinking about the early, conceptual stage of design is as a process of
generating and selecting solutions to meet requirements. It corresponds to the first two
phases shown in Figure 2.1. It has been suggested that around 75% of the final
production costs are committed in this stage of design [123], giving the preliminary
design phase an important role in the overall design process. During design selection,
multiple criteria may be considered, and if any of these criteria are at odds, decision
makers may need to make trade-offs among several design alternatives. A key notion
in design alternative selection is that of "preference" in which a designer assigns
priorities to a set of design choices. The design selection process can be regarded as a
process of making trade-offs and assigning priorities to design alternatives.
This research focuses on the conceptual design phase of engineering design,
particularly on concept selection. It applied design-specific text analysis techniques to
extract the design preferences during this design process of this stage. Figure 2.2 gives
a graphic representation of how this study is related to the three main bodies of
research (conceptual design, preference extraction and text analysis).
Object Description
| Title | Extraction of preferential probabilities from early stage engineering design team discussion |
| Author | Ji, Haifeng |
| Author email | haifengj@usc.edu; haifeng.ji@gmail.com |
| Degree | Doctor of Philosophy |
| Document type | Dissertation |
| Degree program | Industrial & Systems Engineering |
| School | Viterbi School of Engineering |
| Date defended/completed | 2008-08-19 |
| Date submitted | 2008 |
| Restricted until | Unrestricted |
| Date published | 2008-10-07 |
| Advisor (committee chair) | Yang, Maria C. |
| Advisor (committee member) |
Lu, Stephen Jin, Yan |
| Abstract | Activities in the early stage of engineering design typically include the generation of design choices and selection among these design choices. A key notion in design alternative selection is that of preference in which a designer or design team assigns priorities to a set of design choices. However, preferences become more challenging to assign on both a practical and theoretical level when done by a group of individuals. Preferences may also be explicitly obtained via surveys or questionnaires in which designers are asked to rank the choices, rate choice with values, or select a "most-preferred" choice. However, these methods are typically employed at a single point of time; therefore, it may not be practical to use surveys to elicit a team’s preference change and evolution throughout the process.; This research explores the text analysis on the design discussion transcripts and presents a probabilistic approach for implicitly extracting a projection of aggregated preference-related information from the transcripts. The approach in this research graphically represents how likely a choice is to be "most preferred" by a design team over time. For evaluation purpose, two approaches are established for approximating a team's "most preferred" choice in a probabilistic way from surveys of individual team members. A design selection experiment was conducted to determine possible correlations between the preferential probabilities estimated from the team's discussion and survey ratings explicitly stated by team members. Results suggest that there are strong correlations between extracted preferential probabilities and team intents that are stated explicitly, and that the proposed methods can provide a quantitative way to understand and represent qualitative design information using a low overhead information extraction method. |
| Keyword | preferences; probabilities; concept selection; design process; design decision-making |
| Language | English |
| Part of collection | University of Southern California dissertations and theses |
| Publisher (of the original version) | University of Southern California |
| Place of publication (of the original version) | Los Angeles, California |
| Publisher (of the digital version) | University of Southern California. Libraries |
| Provenance | Electronically uploaded by the author |
| Type | texts |
| Legacy record ID | usctheses-m1635 |
| Contributing entity | University of Southern California |
| Rights | Ji, Haifeng |
| Repository name | Libraries, University of Southern California |
| Repository address | Los Angeles, California |
| Repository email | cisadmin@lib.usc.edu |
| Filename | etd-Ji-2413 |
| Archival file | uscthesesreloadpub_Volume14/etd-Ji-2413.pdf |
Description
| Title | Page 23 |
| Contributing entity | University of Southern California |
| Repository email | cisadmin@lib.usc.edu |
| Full text | 11 One way of thinking about the early, conceptual stage of design is as a process of generating and selecting solutions to meet requirements. It corresponds to the first two phases shown in Figure 2.1. It has been suggested that around 75% of the final production costs are committed in this stage of design [123], giving the preliminary design phase an important role in the overall design process. During design selection, multiple criteria may be considered, and if any of these criteria are at odds, decision makers may need to make trade-offs among several design alternatives. A key notion in design alternative selection is that of "preference" in which a designer assigns priorities to a set of design choices. The design selection process can be regarded as a process of making trade-offs and assigning priorities to design alternatives. This research focuses on the conceptual design phase of engineering design, particularly on concept selection. It applied design-specific text analysis techniques to extract the design preferences during this design process of this stage. Figure 2.2 gives a graphic representation of how this study is related to the three main bodies of research (conceptual design, preference extraction and text analysis). |
