DocumentCode :
935891
Title :
Optimal production and backordering policy in failure-prone manufacturing systems
Author :
Song, Dong-Ping
Author_Institution :
Int. Shipping & Logistics Group, Univ. of Plymouth, UK
Volume :
51
Issue :
5
fYear :
2006
fDate :
5/1/2006 12:00:00 AM
Firstpage :
906
Lastpage :
911
Abstract :
This note considers a failure-prone manufacturing system producing one part-type in discrete mode. The problem is to find the optimal integrated production and backordering policy, in which control decisions include how much the production rate should take when the machine is up and whether an unmet demand should be backorder or rejected. The optimal policy is proved to be a threshold control and can be characterized by three threshold parameters for both discounted cost and long-run average cost cases. The structural relationships between three threshold parameters are established. It is found that the completely backordering policy may be optimal for the discounted cost but will never be optimal for the average cost. In addition, the explicit form of the stationary distribution under such threshold policy is derived, which is then be used to calculate interesting steady-state performance measures and seek the optimal threshold values. A numerical example illustrates the results.
Keywords :
failure analysis; industrial control; integrated manufacturing systems; optimal control; backordering policy; failure-prone manufacturing systems; optimal integrated production policy; steady-state performance measures; threshold control; Continuous production; Control systems; Cost function; Instruction sets; Manufacturing systems; Optimal control; Production control; Production systems; Steady-state; Stochastic systems; Backordering; failure-prone manufacturing system; production control; stationary distribution; threshold control;
fLanguage :
English
Journal_Title :
Automatic Control, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9286
Type :
jour
DOI :
10.1109/TAC.2006.872833
Filename :
1632329
Link To Document :
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