DocumentCode :
3404476
Title :
A Near-optimal Buffer Size Control Problem for Hybrid Production System with Bursty Demand Arrivals
Author :
Jun, Liu ; Zhi-Yuan, Rui ; Jun-Tian, Zhao ; Wang-Hui, Su
Author_Institution :
Lanzhou Univ. of Technol., Lanzhou
fYear :
2007
fDate :
5-8 Aug. 2007
Firstpage :
1256
Lastpage :
1260
Abstract :
The failure prone production system with bursty demand arrivals is examined, where the demand arrival is Possion process and the burst size is exponentially distributed. For the hybrid systems, the buffer is controlled and the buffer size should be changed by the demand rate. The continuous flow model of the unreliable manufacturing systems is considered and the hedging point control policy is involved in. The demand with burst size is dealt with by an approximate technique and then a decomposition method is utilized to determine the near-optimal buffer size. Meanwhile, an idea of purchasing extra capacity is introduced to the hybrid system and a so-called blockage hedging point is obtained. Numerical results not only testify the method but also show us the failure transition rate of the downstream machine has a stronger impact on the optimal buffer size than those of the upstream machine.
Keywords :
exponential distribution; manufacturing systems; optimal control; stochastic processes; Possion process; blockage hedging point; bursty demand arrivals; continuous flow model; downstream machine; exponentially distributed burst size; extra capacity; failure prone production system; hedging point control policy; hybrid production system; near-optimal buffer size control problem; upstream machine; Automation; Control systems; Costs; Electric breakdown; Manufacturing systems; Mathematics; Mechatronics; Production systems; Size control; Testing; Burst size; Hedging point policy; Hybrid system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechatronics and Automation, 2007. ICMA 2007. International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-0828-3
Electronic_ISBN :
978-1-4244-0828-3
Type :
conf
DOI :
10.1109/ICMA.2007.4303729
Filename :
4303729
Link To Document :
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