| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 5470347 | Procedia CIRP | 2017 | 6 Pages |
Abstract
The objectives of the optimisation management that considers both assembly and production Hybrid Flow-Shops lines are several: optimal numbers of machines, shifts, product priority and time-period scheduling. The approach uses a combination of DES software with an MDO (Multidisciplinary Design Optimization) software.. The DES model is optimized following the process: 1) A Multi-objective Genetic Algorithm cycle generates a set of optimal solutions; 2) A Clustering cycle groups the solutions into different sets; 3) The selection of the preferred solution via post-processing; 4) A mono-objective optimisation of each cluster; and 5) creation of weekly scheduling with optimal results. Finally, application and results are described and discussed.
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Authors
Lorenzo Lassig, Fabio Mazzer, Marino Nicolich, Carlo Poloni,