Keywords and Phrases
Automated concept generation
"Early in the design process, it is desirable to produce a large number of potential solutions. Completely exploring a problem's solution space is an unreasonable expectation for an unaided designer or design team. Computational tools have emerged to help designers more fully explore possible solutions. These automated concept generators use knowledge from existing designs and the desired functionality of the new product to suggest solutions. Existing automated concept generation methods produce many candidate solutions, but produce unmanageably large sets of solutions. Techniques are needed to organize the set of concepts into smaller groups, more easily parsed by the human designer. This work proceeds from the hypothesis that the utility of automated concept generators can be enhanced if their output is sorted based on design for manufacture and assembly heuristics. Data to sort concepts is collected and a sorting method is proposed. Finally a case study is presented to demonstrate the method"--Abstract, page iii.
Stone, Robert B.
Leu, M. C. (Ming-Chuan)
Mechanical and Aerospace Engineering
M.S. in Manufacturing Engineering
National Science Foundation (U.S.)
Missouri University of Science and Technology
viii, 48 pages
© 2008 Kerry Ryan Poppa, All rights reserved.
Thesis - Open Access
Library of Congress Subject Headings
Design -- Information resources management
Design, Industrial -- Evaluation
Print OCLC #
Electronic OCLC #
Link to Catalog Record
Poppa, Kerry Ryan, "Sorting automated concept generator results based on manufacture and assembly concerns" (2008). Masters Theses. 4637.