DocumentCode :
1425889
Title :
Optimal production control in a discrete manufacturing system with unreliable machines and random demands
Author :
Feng, Youyi ; Yan, Houmin
Author_Institution :
Res. Group, Enron Corp., Houston, TX, USA
Volume :
45
Issue :
12
fYear :
2000
fDate :
12/1/2000 12:00:00 AM
Firstpage :
2280
Lastpage :
2296
Abstract :
We consider a production control problem in a manufacturing system with a failure-prone machine and a stochastic demand. The objective is to minimize a discounted inventory holding and backlog cost over an infinite planning horizon. The optimal production control of continuous, stochastic manufacturing systems with a failure-prone machine and a constant demand has been considered in Akella and Kumar (1986). However, the problem of optimal production control for discrete stochastic manufacturing systems with uncertain demands remains open. In this paper, we investigate a case where the exogenous demand forms a homogeneous Poisson flow. Primarily, we show that the optimal production control for such a system is of the threshold control type. In addition, the explicit form of production control policy and the objective functions are provided. Numerical examples are included to demonstrate the results obtained in the paper and to compare with the one in Akella and Kumar
Keywords :
discrete systems; minimisation; production control; reliability theory; stochastic processes; backlog cost; continuous stochastic manufacturing systems; cost minimization; discounted inventory holding cost; discrete stochastic manufacturing systems; exogenous demand; failure-prone machine; homogeneous Poisson flow; infinite planning horizon; optimal production control; random demands; stochastic demand; uncertain demands; unreliable machines; Control systems; Costs; Councils; Job shop scheduling; Manufacturing systems; Optimal control; Production control; Production planning; Random variables; Stochastic systems;
fLanguage :
English
Journal_Title :
Automatic Control, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9286
Type :
jour
DOI :
10.1109/9.895564
Filename :
895564
Link To Document :
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