Title :
Optimal control of failure-prone manufacturing systems
Author :
Ya-Guang Kong ; You-Xian Sun ; Dong-Ping Song
Author_Institution :
Nat. Lab. of Ind. Control Technol., Zhejiang Univ., Hangzhou, China
Abstract :
A failure-prone manufacturing system with random part processing time and random product demand is considered. The optimal control policy is derived by formulating the process as a discrete-state Markovian decision process using uniformization technique. It is shown that the optimal policy is of a switching-curve control. Neural-network is used to get the function of such switch-curve.
Keywords :
Markov processes; failure analysis; manufacturing systems; neurocontrollers; optimal control; discrete-state Markovian decision process; failure-prone manufacturing systems; neural-network; optimal control policy; random part processing time; random product demand; switching-curve control; uniformization technique; Equations; Europe; Manufacturing systems; Neurons; Optimal control; Switches; Manufacturing systems; Neural-network; optimal control;
Conference_Titel :
Control Conference (ECC), 2001 European
Conference_Location :
Porto
Print_ISBN :
978-3-9524173-6-2