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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/26617

Title: Multi-objective optimisation of product modularity
Authors: Lee, Michael J.
Case, Keith
Marshall, Russell
Issue Date: 2008
Publisher: Dublin Institute of Technology
Citation: CASE, K., LEE, M. and MARSHALL, R., 2008. Multi-objective optimisation of product modularity. IN: Proceedings of 2008 25th International Manufacturing Conference: manufacturing and design: the next generation (IMC25), Dublin, Ireland, 3-5 September 2008, pp.361-368.
Abstract: 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.
Version: Published
URI: https://dspace.lboro.ac.uk/2134/26617
ISBN: 1900454289
Appears in Collections:Conference Papers and Presentations (Mechanical, Electrical and Manufacturing Engineering)

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