Masters Theses

Keywords and Phrases

Automated concept generation

Abstract

"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.

Advisor(s)

Stone, Robert B.

Committee Member(s)

Takai, Shun
Leu, M. C. (Ming-Chuan)

Department(s)

Mechanical and Aerospace Engineering

Degree Name

M.S. in Manufacturing Engineering

Sponsor(s)

National Science Foundation (U.S.)

Publisher

Missouri University of Science and Technology

Publication Date

Fall 2008

Pagination

viii, 48 pages

Note about bibliography

Includes bibliographical references (pages 67-77).

Rights

© 2008 Kerry Ryan Poppa, All rights reserved.

Document Type

Thesis - Open Access

File Type

text

Language

English

Subject Headings

Design -- Information resources management
Design, Industrial -- Evaluation

Thesis Number

T 9441

Print OCLC #

313368581

Electronic OCLC #

298440409

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Included in

Manufacturing Commons

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