Multi-objective optimisation of product modularity

The optimal modular configuration of a product’s architecture can lead to many advantages throughout the product lifecycle. Advantages such as: ease of product upgrade, maintenance, repair and disposal, increased product variety and greater product development speed. However, finding an optimal modu...

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Main Authors:	Michael J. Lee, Keith Case, Russell Marshall
Format:	Default Conference proceeding
Published:	2008
Subjects:	Mechanical engineering not elsewhere classified untagged Mechanical Engineering not elsewhere classified
Online Access:	https://hdl.handle.net/2134/26617
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id	rr-article-9553538
record_format	Figshare
spelling	rr-article-95535382008-01-01T00:00:00Z Multi-objective optimisation of product modularity Michael J. Lee (7153229) Keith Case (1250121) Russell Marshall (1257729) Mechanical engineering not elsewhere classified untagged Mechanical Engineering not elsewhere classified The optimal modular configuration of a product’s architecture can lead to many advantages throughout the product lifecycle. Advantages such as: ease of product upgrade, maintenance, repair and disposal, increased product variety and greater product development speed. However, finding an optimal modular configuration is often difficult. Finding a solution will invariably mean trade-offs will have to be made between various lifecycle drivers. One of the main strengths of a computerised optimisation is that trade-off analysis becomes simple and straightforward and hence speeds up the product architecture decision making process. However, there are a lack of computerised methods that can be applied to optimise modularity for multiple lifecycle objectives. To this end, a genetic algorithm based optimisation framework has been developed to optimise modularity from a whole lifecycle perspective, namely, design, production, use and end of life. The paper will look briefly at the optimisation criteria then examine the optimisation framework - in particular the specialised developed genetic algorithm. 2008-01-01T00:00:00Z Text Conference contribution 2134/26617 https://figshare.com/articles/conference_contribution/Multi-objective_optimisation_of_product_modularity/9553538 CC BY-NC-ND 4.0
institution	Loughborough University
collection	Figshare
topic	Mechanical engineering not elsewhere classified untagged Mechanical Engineering not elsewhere classified
spellingShingle	Mechanical engineering not elsewhere classified untagged Mechanical Engineering not elsewhere classified Michael J. Lee Keith Case Russell Marshall Multi-objective optimisation of product modularity
description	The optimal modular configuration of a product’s architecture can lead to many advantages throughout the product lifecycle. Advantages such as: ease of product upgrade, maintenance, repair and disposal, increased product variety and greater product development speed. However, finding an optimal modular configuration is often difficult. Finding a solution will invariably mean trade-offs will have to be made between various lifecycle drivers. One of the main strengths of a computerised optimisation is that trade-off analysis becomes simple and straightforward and hence speeds up the product architecture decision making process. However, there are a lack of computerised methods that can be applied to optimise modularity for multiple lifecycle objectives. To this end, a genetic algorithm based optimisation framework has been developed to optimise modularity from a whole lifecycle perspective, namely, design, production, use and end of life. The paper will look briefly at the optimisation criteria then examine the optimisation framework - in particular the specialised developed genetic algorithm.
format	Default Conference proceeding
author	Michael J. Lee Keith Case Russell Marshall
author_facet	Michael J. Lee Keith Case Russell Marshall
author_sort	Michael J. Lee (7153229)
title	Multi-objective optimisation of product modularity
title_short	Multi-objective optimisation of product modularity
title_full	Multi-objective optimisation of product modularity
title_fullStr	Multi-objective optimisation of product modularity
title_full_unstemmed	Multi-objective optimisation of product modularity
title_sort	multi-objective optimisation of product modularity
publishDate	2008
url	https://hdl.handle.net/2134/26617
_version_	1797373320599961600

Multi-objective optimisation of product modularity

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