Quantitative platform selection in optimal design of product families, with application to automotive engine design
Autor: | Michael Kokkolaras, Ryan Fellini, Panos Y. Papalambros |
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Rok vydání: | 2006 |
Předmět: | |
Zdroj: | Journal of Engineering Design. 17:429-446 |
ISSN: | 1466-1837 0954-4828 |
Popis: | Product variants with similar architecture but different functional requirements may have common parts. We define a product family to be a set of such products, and refer to the set of common parts as the product platform. Product platforms enable rapid adjustment to changing market needs while keeping development costs and time-cycles low. In many cases, however, the individual product requirements are conflicting when designing a product family. The designer must balance the tradeoff between maximizing commonality and minimizing individual product performance deviations. The design challenge is to select the product platform that will generate family designs with minimum deviation from individual optima. We propose a methodology that combines two previous approaches developed for making commonality decisions. In the first approach optimal values and sensitivity information from the individually optimized variants are used to indicate components that are probable candidates for sharing. In the second app... |
Databáze: | OpenAIRE |
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