The following information was submitted:
Transactions: INTERNATIONAL JOURNAL of APPLIED MATHEMATICS AND INFORMATICS
Transactions ID Number: 17-162
Full Name: Florian Harjes
Position: Researcher
Age: ON
Sex: Male
Address: Hochschulring 20, 28359 Bremen
Country: GERMANY
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E-mail address: haj@biba.uni-bremen.de
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Title of the Paper: Elman Networks for the Prediction of Inventory Levels and Capacity Utilization
Authors as they appear in the Paper: Florian Harjes, Bernd Scholz-Reiter, Amir Kaviani Mehr
Email addresses of all the authors: haj@biba.uni-bremen.de,bsr@biba.uni-bremen.de,amir.kavianimehr@uni-bremen.de
Number of paper pages: 8
Abstract: Today´s production processes face an increase in dynamics and complexity. Therefore, production control techniques face a demand for continuous advancement. Methods from the field of artificial intelligence, such as neural networks, have proven their applicability in this area. They are applied for optimization, prediction, classification, control and many other production related areas. This paper introduces an approach using Elman Networks for the workstation-specific prediction of inventory levels and capacity utilization within a shop floor environment. It includes the selection of the appropriate network architecture, the determination of suitable input variables as well as the training and validation process. The evaluation of the proposed approach takes place by means of a generic shop floor model.
Keywords: Artificial neural networks, Elman networks, Predictive control, Shop floor production
EXTENSION of the file: .pdf
Special (Invited) Session: Prediction of Inventory Levels and Capacity Utilization with Artificial Neural Networks
Organizer of the Session: 661-142
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