TY - JOUR
T1 - Sojourn times in a Markovian queue with working breakdowns and delayed working vacations
AU - Yang, Dong Yuh
AU - Chung, Chi Hsiang
AU - Wu, Chia-Huang
N1 - Publisher Copyright:
© 2021 Elsevier Ltd
PY - 2021/6
Y1 - 2021/6
N2 - The current study considers a Markovian queue, where the server is subject to breakdowns while providing service to customers. During a breakdown period, the server lowers the service rate, rather than completely halting services provision. When there are no customers in the system, the server leaves for a vacation. Upon return from a vacation, if the server finds no customers in the system, the server leaves for another vacation; however, if the server from a vacation to find at least one customer waiting in the queue, the server will serve customers immediately. During a vacation period, the server serves customers at a different service rate and does not stop working. Service times during normal, breakdown and vacation periods follow exponential distributions. For such a system, to find the closed-form solutions for the steady-state probabilities, we employ the spectral expansion method. Several performance measures of the system are developed. We additionally derive the Laplace-Stieltjes transform of the sojourn time of an arbitrary customer and obtain the expected sojourn time. Furthermore, we provide numerical examples to illustrate the effects of various system parameters on performance measures and the expected sojourn time.
AB - The current study considers a Markovian queue, where the server is subject to breakdowns while providing service to customers. During a breakdown period, the server lowers the service rate, rather than completely halting services provision. When there are no customers in the system, the server leaves for a vacation. Upon return from a vacation, if the server finds no customers in the system, the server leaves for another vacation; however, if the server from a vacation to find at least one customer waiting in the queue, the server will serve customers immediately. During a vacation period, the server serves customers at a different service rate and does not stop working. Service times during normal, breakdown and vacation periods follow exponential distributions. For such a system, to find the closed-form solutions for the steady-state probabilities, we employ the spectral expansion method. Several performance measures of the system are developed. We additionally derive the Laplace-Stieltjes transform of the sojourn time of an arbitrary customer and obtain the expected sojourn time. Furthermore, we provide numerical examples to illustrate the effects of various system parameters on performance measures and the expected sojourn time.
KW - Changeover time
KW - Sojourn time
KW - Spectral expansion method
KW - Working breakdown
KW - Working vacation
UR - http://www.scopus.com/inward/record.url?scp=85103781011&partnerID=8YFLogxK
U2 - 10.1016/j.cie.2021.107239
DO - 10.1016/j.cie.2021.107239
M3 - Article
AN - SCOPUS:85103781011
SN - 0360-8352
VL - 156
SP - 1
EP - 13
JO - Computers and Industrial Engineering
JF - Computers and Industrial Engineering
M1 - 107239
ER -