2134/18003
Michael J. Lee
Michael J.
Lee
Keith Case
Keith
Case
Russell Marshall
Russell
Marshall
Multi-objective grouping genetic algorithm for product life-cycle optimisation
Loughborough University
2015
Genetic algorithms
Life cycle design
Multi- criteria decision making
Optimization
Modularity
Mechanical Engineering not elsewhere classified
2015-06-24 11:15:31
Journal contribution
https://repository.lboro.ac.uk/articles/journal_contribution/Multi-objective_grouping_genetic_algorithm_for_product_life-cycle_optimisation/9546341
A product’s lifecycle performance (e.g. assembly, outsourcing, maintenance and recycling) can often be improved through modularity. However, modularisation under different and often conflicting lifecycle objectives is a complex problem that will ultimately require trade-offs. This paper presents a novel multi-objective modularity optimisation framework; the application of which is illustrated through the modularisation of a car climate control system. Central to the framework is a specially designed multi-objective grouping genetic algorithm (MOGGA) that is able to generate a whole range of alternative product modularisations. Scenario analysis, using the principles of the analytical hierarchical process (AHP), is then carried out to explore the solution set and choose a suitable modular architecture that optimises the product lifecycle according to the company’s strategic vision.