Loughborough University
Browse
26617.pdf (106.26 kB)

Multi-objective optimisation of product modularity

Download (106.26 kB)
conference contribution
posted 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.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

Twenty-fifth International Manufacturing Conference, IMC25 'Manufacturing and Design: The Next Generation', the Proceedings of the Twenty-fifth International Manufacturing Conference, IMC25

Pages

361 - 388

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.

Publisher

Dublin Institute of Technology

Version

  • VoR (Version of Record)

Publisher statement

This 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/

Publication date

2008

ISBN

1900454289

Language

  • en

Location

Dublin Institute of Technology, Ireland

Usage metrics

    Loughborough Publications

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC