Intelligent Scheduling of Failure-Prone FMS Using Neural Network

Author

Kong, Yaguang ; Guo, Siyu ; Wang, Jianzhong

Author_Institution

Inst. of Inf. & Control, Hangzhou Dianzi Univ.

Volume

3

fYear

2006

fDate

Aug. 30 2006-Sept. 1 2006

Firstpage

259

Lastpage

262

Abstract

A failure-prone flexible manufacturing system with random part processing time and random product demand is considered. The scheduling policy is derived by formulating the process as a discrete-state Markovian decision process using unification technique. This paper investigates the development of a neural network architecture for candidate rule selection for such FMS procedure

Keywords

Markov processes; control engineering computing; decision making; flexible manufacturing systems; neural net architecture; optimal control; single machine scheduling; FMS procedure; candidate rule selection; discrete-state Markovian decision process; failure-prone flexible manufacturing system; intelligent scheduling; neural network architecture; optimal control; random part processing time; random product demand; unification technique; Control systems; Decision making; Flexible manufacturing systems; Fluid flow control; Intelligent networks; Job shop scheduling; Manufacturing industries; Manufacturing systems; Neural networks; Production systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Innovative Computing, Information and Control, 2006. ICICIC '06. First International Conference on

Conference_Location

Beijing

Print_ISBN

0-7695-2616-0

Type

conf

DOI

10.1109/ICICIC.2006.465

Filename

1692164