DocumentCode :
2582977
Title :
A stochastic hybrid state model for optimizing hedging policies in manufacturing systems with randomly occurring defects
Author :
Mhada, Fatima-zahra ; Malhame, Roland ; Pellerin, Robert
Author_Institution :
Dept. of Electr. Eng., Ecole Polytech. de Montreal, Montreal, QC, Canada
fYear :
2010
fDate :
15-17 Dec. 2010
Firstpage :
1791
Lastpage :
1797
Abstract :
The paper addresses the optimal production control problems for an unreliable manufacturing system that produces items that can be regarded as conforming or non conforming. Two cases ares considered: (i) The ratio between conforming and non conforming parts is fixed at all times, (ii) the production of defective parts is respectively initiated and stopped at the random entrance times to and departure times from a defective production state. Case (i) is treated as an extension of the Bielecki-Kumar single machine optimality theory, while a new stochastic hybrid-state Markovian model is introduced to analyze case (ii). The intricate piecewise deterministic dynamics of the model are studied, and the associated Kolmogorov equations are developed under the suboptimal class of hedging policies.
Keywords :
manufacturing systems; stochastic processes; stock control; Bielecki-Kumar single machine optimality theory; associated Kolmogorov equation; defective production state; deterministic dynamics; hedging policy optimization; optimal production control problem; random entrance time; randomly occurring defect; stochastic hybrid state model; stochastic hybrid-state Markovian model; suboptimal class; unreliable manufacturing system; Equations; Markov processes; Mathematical model; Numerical models; Production; Solid modeling; Steady-state;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control (CDC), 2010 49th IEEE Conference on
Conference_Location :
Atlanta, GA
ISSN :
0743-1546
Print_ISBN :
978-1-4244-7745-6
Type :
conf
DOI :
10.1109/CDC.2010.5718077
Filename :
5718077
Link To Document :
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