A driver for selection of functionally inequivalent concepts at varying levels of abstraction

Autor: Joshua D. Summers, Mica Grujicic, Lonny L. Thompson, Sudhakar Teegavarapu, Mark Snider
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Zdroj: Scopus-Elsevier
Popis: Concept selection is a critical step in design, as evidenced by the number of concept selection methods that have been developed to choose between design alternatives. Each of these methods has various limitations as identified by different design researchers. However, limitations that have not yet been identified in the literature are those of abstraction and functionality. A fundamental assumption made with these tools is that the solutions being compared are at the same level of abstraction and are developed to satisfy the same functionality. This paper brings out the need for developing a tool for selecting concepts that are at varying levels of abstraction. A preliminary method is proposed and compared with other industry's best practice tools, using an automotive design case study.
Databáze: OpenAIRE