A Neural Network Based Decision Support System for Real-Time Scheduling of Flexible Manufacturing Systems

Derya Eren Akyol () and Ozlem Uzun Araz ()
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Derya Eren Akyol: Dokuz Eylul University
Ozlem Uzun Araz: Dokuz Eylul University

A chapter in Operations Research Proceedings 2007, 2008, pp 83-88 from Springer

Abstract: Abstract 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.

Keywords: Schedule Environment; Competitive Neural Network; Semiconductor Wafer Fabrication; Dynamic Schedule Problem; Semiconductor Wafer Fabrication System (search for similar items in EconPapers)
Date: 2008
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Persistent link: https://EconPapers.repec.org/RePEc:spr:oprchp:978-3-540-77903-2_13

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DOI: 10.1007/978-3-540-77903-2_13

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