| Autor: |
Kalcsics, Jörg, Nickel, Stefan, Akyol, Derya Eren, Araz, Ozlem Uzun |
| Zdroj: |
Operations Research Proceedings 2007; 2008, p83-88, 6p |
| Abstrakt: |
The objective of this study is to develop a neural network based decision support system for selection of appropriate dispatching rules for a real-time manufacturing system, in order to obtain the desired performance measures given by a user, at different scheduling periods. A simulation experiment is integrated with a neural network to obtain the multi-objective scheduler, where simulation is used to provide the training data. The proposed methodology is illustrated on a flexible manufacturing system (FMS) which consists of several number of machines and jobs, loading/unloading stations and automated guided vehicles (AGVs) to transport jobs from one location to another. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Supplemental Index |
| Externí odkaz: |
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