We consider the M/M/1 queue with disasters and impatient customers. Disasters only occur when the main server being busy, it not only removes out all present customers from the system, but also breaks the main server down. When the main server is down, it is sent for repair. The substitute server serves the customers at a slow rate(working breakdown service) until the main server is repaired. The customers become impatient due to the working breakdown. The system size distribution is derived. We also obtain the mean queue length of the model and mean sojourn time of a tagged customer. Finally, some performance measures and numerical examples are presented.
Mots-clés : Queue, disaster, working breakdown, impatient customer
@article{RO_2020__54_3_815_0, author = {Zhang, Mian and Gao, Shan}, title = {The disasters queue with working breakdowns and impatient customers}, journal = {RAIRO - Operations Research - Recherche Op\'erationnelle}, pages = {815--825}, publisher = {EDP-Sciences}, volume = {54}, number = {3}, year = {2020}, doi = {10.1051/ro/2019036}, mrnumber = {4076761}, zbl = {1437.90063}, language = {en}, url = {https://www.numdam.org/articles/10.1051/ro/2019036/} }
TY - JOUR AU - Zhang, Mian AU - Gao, Shan TI - The disasters queue with working breakdowns and impatient customers JO - RAIRO - Operations Research - Recherche Opérationnelle PY - 2020 SP - 815 EP - 825 VL - 54 IS - 3 PB - EDP-Sciences UR - https://www.numdam.org/articles/10.1051/ro/2019036/ DO - 10.1051/ro/2019036 LA - en ID - RO_2020__54_3_815_0 ER -
%0 Journal Article %A Zhang, Mian %A Gao, Shan %T The disasters queue with working breakdowns and impatient customers %J RAIRO - Operations Research - Recherche Opérationnelle %D 2020 %P 815-825 %V 54 %N 3 %I EDP-Sciences %U https://www.numdam.org/articles/10.1051/ro/2019036/ %R 10.1051/ro/2019036 %G en %F RO_2020__54_3_815_0
Zhang, Mian; Gao, Shan. The disasters queue with working breakdowns and impatient customers. RAIRO - Operations Research - Recherche Opérationnelle, Tome 54 (2020) no. 3, pp. 815-825. doi : 10.1051/ro/2019036. https://www.numdam.org/articles/10.1051/ro/2019036/
[1] Analysis of customers’ impatience in queues with server vacations. Queueing Syst. 52 (2006) 261–279. | DOI | MR | Zbl
and ,
[2]
[3] Optimal control and performance analysis of an
[4] The discrete-time
[5] Random neural networks with negative and positive signals and product form solution. Neural. Comput. 1 (1989) 502–510. | DOI
,
[6] A pollaczek-khintchine formula for
[7] Analysis of the
[8] A queue with working brekdowns. Comput. Ind. Eng. 63 (2012) 719–783. | DOI
and ,
[9] The
[10] Impatient customers queue with Bernoulli schedule vacation interruption. Comput. Oper. Res. 56 (2015) 1–7. | DOI | MR
and ,
[11]
[12] A
[13] Queues with slow servers and impatient customer. Eur. J. Oper. Res. 201 (2010) 247–258. | DOI | MR | Zbl
and ,
[14] Impatient customers in an
[15] Transient analysis of a queue with system disasters and customer impatience. Queueing Syst. 66 (2010) 95–105. | DOI | MR | Zbl
,[16] A single server priority queue with server failures and queue flushing. Oper. Res. Lett. 10 (1991) 353–362. | DOI | MR | Zbl
and ,[17] A single-server discrete-time queue with correlate positive and negative customer arrivals. Appl. Math. Model. 37 (2013) 6212–6224. | DOI | MR
, and ,[18] A note on GI/M/1 queue with poisson negative arrival. J. Appl. Prob. 38 (2001) 1081–1085. | DOI | MR | Zbl
and ,[19] Queues with systems disasters and impatient customers when system is down. Queueing Syst. 56 (2007) 195–202. | DOI | MR | Zbl
,
[20] Analysis of customers impatience in an
Cité par Sources :
Supported by the National Natural Science Foundation of China (61672006), the Natural Science Foundation of Anhui Province (KJ2015A182,KJ2017A340,KJ2018A0346) and Fuyang Municipal Government-Fuyang Normal College Horizontal Cooperation Projects (XDHXTD201709).