scholarly journals A Two Stage Queuing System with delay time

2021 ◽  
Vol 1964 (2) ◽  
pp. 022023
Author(s):  
S. Shyamala ◽  
K. Suresh ◽  
S.R. Anantha Lakshmi
2005 ◽  
Vol 2005.58 (0) ◽  
pp. 237-238
Author(s):  
Yasuhiro AKAHOSHI ◽  
Junichi KITAGAWA ◽  
Takao KOURA ◽  
Eiji MATSUDA ◽  
Masayoshi TADAOKA ◽  
...  
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2015 ◽  
Vol 76 (11) ◽  
pp. 1945-1951 ◽  
Author(s):  
V. N. Tarasov ◽  
N. F. Bakhareva ◽  
I. A. Blatov

2002 ◽  
Vol 16 (4) ◽  
pp. 453-469 ◽  
Author(s):  
Hyun-soo Ahn ◽  
Izak Duenyas ◽  
Mark E. Lewis

We consider the optimal control of two parallel servers in a two-stage tandem queuing system with two flexible servers. New jobs arrive at station 1, after which a series of two operations must be performed before they leave the system. Holding costs are incurred at rate h1 per unit time for each job at station 1 and at rate h2 per unit time for each job at station 2.The system is considered under two scenarios; the collaborative case and the noncollaborative case. In the prior, the servers can collaborate to work on the same job, whereas in the latter, each server can work on a unique job although they can work on separate jobs at the same station. We provide simple conditions under which it is optimal to allocate both servers to station 1 or 2 in the collaborative case. In the noncollaborative case, we show that the same condition as in the collaborative case guarantees the existence of an optimal policy that is exhaustive at station 1. However, the condition for exhaustive service at station 2 to be optimal does not carry over. This case is examined via a numerical study.


2016 ◽  
Vol 57 (4) ◽  
pp. 445-460
Author(s):  
CANAN ÇELİK ◽  
GÖKÇEN ÇEKİÇ

We consider a coupled, logistic predator–prey system with delay. Mainly, by choosing the delay time${\it\tau}$as a bifurcation parameter, we show that Hopf bifurcation can occur as the delay time${\it\tau}$passes some critical values. Based on the normal-form theory and the centre manifold theorem, we also derive formulae to obtain the direction, stability and the period of the bifurcating periodic solution at critical values of ${\it\tau}$. Finally, numerical simulations are investigated to support our theoretical results.


2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Liying wang ◽  
Wenhua Zhang

In the 2-component swappable series system, the two components undertake tasks with different loads and degrade at different speeds. To prolong the lifetime of the series system, these two components are swapped in the operating process of the system in practice. This is common in the maintenance of duplexing steelmaking systems, tires of vehicles, and steel rails in curves. The failure process of each component in the system is modeled based on a two-stage delay-time concept and divided into two stages: normal and defective. Inspections are carried out periodically on the system. Two components may be swapped once at an inspection time that the two components are both in the normal stage. Due to the increase or decrease of loads, normal and defective time distributions after the swap are assumed to be different from those prior to the swap. The system is subjected to failure, inspection, and age-based renewals. The number of inspections over the maximum usage time of the system and the swap time are optimized jointly by minimizing the expected cost per unit time in a long run. A numerical example is presented to demonstrate the model.


2014 ◽  
Vol 635-637 ◽  
pp. 1994-2000
Author(s):  
Shi Xin Zhang ◽  
Xiang Zan ◽  
Yi Zheng ◽  
Yan Chao Liu

Technical condition parameters prediction is one of key steps in CBM (Condition based Maintenance). As disadvantage of traditional methods, Base on theory of combination prediction, combining with Delay Time and two-stage prediction model, multi-stage combination prediction model is proposed. The model can solve the problem that complicated rule of variation in equipment condition and uncertainty characteristic. Through lubricating oil analysis and correlated prescribing, operation phase of equipment is parted. At the same time, every method adapt to every stage is found. The result shows the model works well and effectively.


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