| Autor: |
MICHAEL J. LEE, KEITH CASE, RUSSELL MARSHALL |
| Jazyk: |
angličtina |
| Rok vydání: |
2016 |
| Předmět: |
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| Zdroj: |
Journal of Engineering Science and Technology, Vol 11, Iss 1, Pp 1-17 (2016) |
| Druh dokumentu: |
article |
| ISSN: |
1823-4690 |
| Popis: |
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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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