|
| << vorige | volgende >> |
Tijdschrift beschrijving
Alle jaargangen van het bijbehorende tijdschrift
Alle afleveringen van het bijbehorende jaargang
Alle artikelen van de bijbehorende aflevering
Details van artikel 16 van 30 gevonden artikelen
| Titel: |
Neural network-based adaptive production control system for a flexible manufacturing cell under a random environment |
| Auteur: |
Arzi, Yohanan Iaroslavitz, Lior |
| Verschenen in: |
IIE transactions |
| Paginering: | Jaargang 31 (1999) nr. 3 pagina's 217-230 |
| Jaar: |
1999-03-01 |
| Inhoud: |
A Neural Network (NN)-based Production Control System (PCS) for a Flexible Manufacturing Cell (FMC), operating in a highly random produce-to-order environment is presented. The proposed PCS chooses periodically, on the basis of the current state of the system, the most appropriate scheduling rule, out of several predetermined ones. The proposed PCS is based on multi-layer NNs, one for each competing scheduling rule, that predict the FMC's performance. The NNs are retrained periodically. The performance of the proposed NN-based PCS was tested by simulation of two different FMC configurations. The NN-based PCS has performed significantly better than a decision-tree-based PCS and a single-rule-based PCS. |
| Uitgever: |
Taylor & Francis |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
Details van artikel 16 van 30 gevonden artikelen
| << vorige | volgende >> |