Paper Info
Title
Dynamic Markov-Based Queuing Models And Strategies With Heterogeneous Processing Capabilities To Optimize Machine Utilization
Abstract
In the production system, the machine processing ability is unequal, which leads to the low utilization rate of the machine and the long waiting time of the workpiece. Aiming at these problems, the Markov queuing model with unequal processing capability is proposed. A dynamic optimization method of integrated workshop performance indexes based on unequal processing capacities is studied. The M/M/2 and M/M/3 queuing models with Unequal processing abilities are simulated by using the signal simulation module in Matlab. The queuing rules in Markov's queuing model with Unequal processing abilities are optimized aiming at the unequal processing capacities, and a comprehensive priority queuing model is also proposed. Using the same queue rule will reduce the production efficiency of production system under different production intensity, so we propose integrated priority queuing model.
Year
Venue
Keywords
2018
PROCEEDINGS OF THE 2018 IEEE 22ND INTERNATIONAL CONFERENCE ON COMPUTER SUPPORTED COOPERATIVE WORK IN DESIGN ((CSCWD))
queuing theory, priority, production scheduling, Markov process
Field
DocType
Citations 
Priority queuing,Markov process,MATLAB,Computer science,Queue,Markov chain,Machine utilization,Queueing theory,Utilization rate,Distributed computing
Conference
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Fuqing Zhao112922.63
Xuan He221.37
Weimin Ma342726.76
Jianqiu Zhang410119.93
Chuck Zhang511715.72