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Multi-objective optimisation of product modularity
conference contributionposted on 2017-09-22, 10:15 authored by Michael J. Lee, Keith Case, Russell MarshallRussell Marshall
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.
- Mechanical, Electrical and Manufacturing Engineering
Published inTwenty-fifth International Manufacturing Conference, IMC25 'Manufacturing and Design: The Next Generation', the Proceedings of the Twenty-fifth International Manufacturing Conference, IMC25
Pages361 - 388
CitationCASE, 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.
PublisherDublin Institute of Technology
- VoR (Version of Record)
Publisher statementThis work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/