DocumentCode :
320050
Title :
An approximation approach for optimal production control of manufacturing systems
Author :
Bernard, Fabienne ; Dufour, Francois ; Bertrand, Pierre ; Vakili, Pirooz
Author_Institution :
Lab. des Signaux et Syst., CNRS, Gif-sur-Yvette, France
Volume :
4
fYear :
1997
fDate :
10-12 Dec 1997
Firstpage :
4064
Abstract :
We consider a switching diffusion model for the dynamics of production, demand, and production capacity in a manufacturing system and define an optimal production control problem of minimizing an infinite-horizon discounted cost. By discretizing the continuous state space we define an associated control of continuous Markov chain (CTMC) problem as an approximation to the original problem. Using a weak convergence approach, we derive some preliminary results on the convergence of the optimal cost of the CTMC problem to that of the original problem as the discretization interval approaches zero
Keywords :
Markov processes; approximation theory; minimisation; optimal control; production control; state-space methods; approximation approach; continuous Markov chain; continuous state space; demand dynamics; infinite-horizon discounted cost minimization; manufacturing systems; optimal production control; production capacity; production dynamics; switching diffusion model; weak convergence approach; Control systems; Convergence; Cost function; Manufacturing systems; Optimal control; Production control; Production systems; State-space methods; Stochastic processes; USA Councils;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 1997., Proceedings of the 36th IEEE Conference on
Conference_Location :
San Diego, CA
ISSN :
0191-2216
Print_ISBN :
0-7803-4187-2
Type :
conf
DOI :
10.1109/CDC.1997.652503
Filename :
652503
Link To Document :
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