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.
Hybrid Flow Shop Management: Multi Objective Optimisation / Lassig, Lorenzo; Mazzer, Fabio; Nicolich, Marino; Poloni, Carlo. - ELETTRONICO. - 62:(2017), pp. 147-152. ( 10th CIRP Conference on Intelligent Computation in Manufacturing Engineering - CIRP ICME '16 Napoli July 20-22, 2016) [10.1016/j.procir.2016.06.007].
Hybrid Flow Shop Management: Multi Objective Optimisation
MAZZER, FABIO;NICOLICH, MARINO;POLONI, CARLO
2017-01-01
Abstract
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.| File | Dimensione | Formato | |
|---|---|---|---|
|
pdf.pdf
accesso aperto
Tipologia:
Documento in Versione Editoriale
Licenza:
Creative commons
Dimensione
1.12 MB
Formato
Adobe PDF
|
1.12 MB | Adobe PDF | Visualizza/Apri |
Pubblicazioni consigliate
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.


