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Analysis of a two-phase queueing system with a fixed-size batch policy. (English) Zbl 1188.90070

Summary: We consider a single-server, two-phase queueing system with a fixed-size batch policy. Customers arrive at the system according to a Poisson process and receive batch service in the first-phase followed by individual services in the second-phase. The batch service in the first-phase is applied for a fixed number \((k)\) of customers. If the number of customers waiting for the first-phase service is less than \(k\) when the server completes individual services, the system stays idle until the queue length reaches \(k\). We derive the steady state distribution for the system’s queue length. We also show that the stochastic decomposition property can be applied to our model. Finally, we illustrate the process of finding the optimal batch size that minimizes the long-run average cost under a linear cost structure.

MSC:

90B22 Queues and service in operations research
Full Text: DOI

References:

[1] Choi, D. I.; Kim, T. S., Analysis of a two-phase queueing system with vacations and Bernoulli feedback, Stochastic Analysis and Applications, 21, 1009-1019 (2003) · Zbl 1030.60082
[2] Doshi, B. T., Analysis of a two-phase queueing system with generalized service times, Operations Research Letters, 10, 265-272 (1991) · Zbl 0738.60091
[3] Fuhrmann, S. W.; Cooper, R. B., Stochastic decompositions in the M/G/1 queue with generalized vacations, Operations Research, 33, 1117-1129 (1985) · Zbl 0585.90033
[4] Hopp, W. J.; Van Oyen, M. P., Agile workforce evaluation: a framework for cross-training and coordination, IIE Transactions, 36, 919-940 (2004)
[5] Iravani, S. M.R.; Posner, M. J.M.; Buzacott, J. A., A two-stage tandem queue attended by a moving server with holding and switching costs, Queueing Systems, 26, 203-228 (1997) · Zbl 0892.90077
[6] Kella, O., The threshold policy in the M/G/1 queue with server vacations, Naval Research Logistics Quarterly, 36, 111-123 (1989) · Zbl 0672.90054
[7] Kim, T. S.; Park, H. M., Cycle analysis of a two-phase queueing model with threshold, European Journal of Operational Research, 144, 157-165 (2003) · Zbl 1037.90008
[8] Krishina, C. M.; Lee, Y. H., A study of two-phase service, Operations Research Letters, 9, 91-97 (1990) · Zbl 0687.68014
[9] Kula, U.; Duenyas, I.; Iravani, S. M.R., Estimating job waiting times in production systems with cross-trained setup crews, IIE Transactions, 36, 999-1010 (2004)
[10] Medhi, J., Stochastic Models in Queueing Theory (2003), Academic Press: Academic Press Amsterdam · Zbl 1075.60118
[11] Selvam, D. D.; Sivasankaran, V., A two-phase queueing system with server vacations, Operations Research Letters, 15, 163-168 (1994) · Zbl 0813.90046
[12] Sennott, L. I.; Van Oyen, M. P.; Iravani, S. M.R., Optimal dynamic assignment of a flexible worker on an open production line with specialists, European Journal of Operational Research, 170, 541-566 (2006) · Zbl 1085.90018
[13] Takagi, H., Queueing Analysis: A Foundation of Performance Evaluation, Vacation and Priority Systems, vol. 1 (1991), North-Holland: North-Holland Amsterdam · Zbl 0744.60114
[14] Takagi, H., Queueing Analysis: A Foundation of Performance Evaluation, Discrete-Time Systems, vol. 3 (1993), North-Holland: North-Holland Amsterdam
[15] Takagi, H., Analysis and application of polling models, (Haring; etal., Performance Evaluation, LNCS (2000), Springer-Verlag: Springer-Verlag Berlin)
[16] Wolff, R. W., Poisson arrivals see time averages, Operations Research, 30, 223-231 (1982) · Zbl 0489.60096
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