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2011 | OriginalPaper | Chapter

4. Many-Objective Evolutionary Optimisation and Visual Analytics for Product Family Design

Authors : Ruchit A. Shah, Patrick M. Reed, Timothy W. Simpson

Published in: Multi-objective Evolutionary Optimisation for Product Design and Manufacturing

Publisher: Springer London

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Abstract

Product family design involves the development of multiple products that share common components, modules and subsystems, yet target different market segments and groups of customers. The key to a successful product family is the product platformthe common components, modules and subsystemsaround which the family is derived. The fundamental challenge when designing a family of products is resolving the inherent trade-off between commonality and performance. If there is too much commonality, then individual products may not meet their performance targets; however, too little sharing restricts the economies of scale that can be achieved during manufacturing and production. Multi-objective evolutionary optimisation algorithms have been used extensively to address this trade-off and determine which variables should be common (i.e., part of the platform) and which should be unique in a product family. In this chapter, we present a novel approach based on many-objective evolutionary optimisation and visual analytics to resolve trade-offs between commonality and many performance objectives. We provide a detailed example involving a family of aircraft that demonstrates the challenges of solving a 10-objective trade-off between commonality and the nine performance objectives in the family. Future research directions involving the use of multi-objective optimisation and visual analytics for product family design are also discussed.

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Metadata
Title
Many-Objective Evolutionary Optimisation and Visual Analytics for Product Family Design
Authors
Ruchit A. Shah
Patrick M. Reed
Timothy W. Simpson
Copyright Year
2011
Publisher
Springer London
DOI
https://doi.org/10.1007/978-0-85729-652-8_4

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