DocumentCode
3269414
Title
Applying a neural network to the adaptive control for JIT production systems
Author
Takahashi, Katsuhiko ; Nakamura, Nobuto
Author_Institution
Dept. of Ind. & Syst. Eng., Hiroshima Univ., Japan
Volume
2
fYear
1999
fDate
1999
Firstpage
1648
Abstract
By applying a neural network (NN), this paper proposes an adaptive control system for the two types of just-in-time (JIT) production systems with unstable changes in demand. In the proposed system, a multilayer NN is applied to detecting the pattern change in the time series data on demand, and the detected pattern change is utilized for adjusting the buffer size in the JIT production systems. The performance of the proposed system is investigated and compared with that of the previous system by simulation experiments
Keywords
adaptive control; feedforward neural nets; pattern recognition; production control; time series; JIT production systems; adaptive control; buffer size; just-in-time; multilayer neural networks; pattern recognition; production control; time series data; Adaptive control; Control systems; Demand forecasting; Electrical equipment industry; Industrial control; Modeling; Neural networks; Production systems; Systems engineering and theory; Transportation;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Applications, 1999. Proceedings of the 1999 IEEE International Conference on
Conference_Location
Kohala Coast, HI
Print_ISBN
0-7803-5446-X
Type
conf
DOI
10.1109/CCA.1999.801219
Filename
801219
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