DocumentCode :
2807988
Title :
A Queueing Model without Customer Waiting Applied in Flexible Production Line to Optimize the Number of Servers
Author :
Dao, Ronggui ; Wu, Guirong ; Zhang, Guifu ; Yang, Xiang ; Zhang, Jinwu
Author_Institution :
Yuxi Cigarette Factory, Hongta Tobacco (Group) Co., Ltd., Yuxi, China
Volume :
1
fYear :
2011
fDate :
26-27 Nov. 2011
Firstpage :
105
Lastpage :
108
Abstract :
The queueing model of Poisson arrival process, general distribution service process and infinite servers can be applied in the stochastic service system how many servers do we need to ensure the customers scarcely have to wait in queue. According to the additivity of Poisson distribution, the queueing theory principle and nature of probability theory, established the parameters such as the number of production cells, the average arrival rate of entering customers, the average amount of service time and the ratio of priority service time to total service time, figured out the optimal number of servers under the variable number of production cells in flexible production line. This work provided the basis for facilities planning on purchasing the proper number of servers.
Keywords :
Poisson distribution; cellular manufacturing; facilities planning; flexible manufacturing systems; probability; purchasing; queueing theory; stochastic processes; Poisson arrival process; Poisson distribution; facilities planning; flexible production line; general distribution service process; probability theory; production cells; queueing theory principle; server purchasing; stochastic service system; Equations; Logistics; Materials; Planning; Recycling; Servers; M/G/8 queue; cell production; flexible production line; logistics; optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Management, Innovation Management and Industrial Engineering (ICIII), 2011 International Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-1-61284-450-3
Type :
conf
DOI :
10.1109/ICIII.2011.31
Filename :
6115024
Link To Document :
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