Equilibrium and optimal balking strategies for low-priority customers in the M/G/1 queue with two classes of customers and preemptive priority

Biao Xu; Xiuli Xu; Zhong Yao

doi:10.3934/jimo.2018113

Article Contents

2019, Volume 15, Issue 4: 1599-1615. Doi: 10.3934/jimo.2018113

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Equilibrium and optimal balking strategies for low-priority customers in the M/G/1 queue with two classes of customers and preemptive priority

1.
School of Economics and Management, Beihang University, Beijing 100191, China
2.
College of Science, Yanshan University, Hebei, Qinhuangdao 066004, China
3.
School of Economics and Management, Beihang University, Beijing 100191, China
4.
Institute of Economics and Business, Beihang University, Beijing 100191, China

* Corresponding author: Xiuli Xu
* Corresponding author: Xiuli Xu

Received: October 2016

Revised: June 2018

Early access: August 2018

Published: July 2019

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Abstract

This paper investigates the low-priority customers' strategic behavior in the single-server queueing system with general service time and two customer types. The priority system is preemptive resume, which means that if a high-priority customer enters the system that are serving a low-priority customer, the arriving customer preempts the service facility and the preempted customer returns to the head of the queue for his own class. The customer who is preempted resumes service at the point of interruption upon reentering the system. The low-priority customer's dilemma is whether to join or balk based on a linear reward-cost structure. Two cases are distinguished based on the different levels of information that the low-priority customers acquire before joining the system. The equilibrium threshold strategy in the observable case and the equilibrium balking strategy as well as the socially optimal balking strategy in the unobservable case for the low-priority customers are derived finally.

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Mathematics Subject Classification: Primary: 60K25; Secondary: 90B22.

Citation:

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Figure 1. The service process of an arbitrary arriving class-1 customer

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Figure 2. The service process of an arbitrary arriving class-2 customer

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Figure 3. The equilibrium thresholds of the class-1 customers vs.$K_1$ for ${\lambda _2} = 0.5, E\left[ {{G_1}} \right] = E\left[ {{G_2}} \right] = 1, {C_1} = 8$

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Figure 4. The equilibrium thresholds of the class-1 customers vs.$C_1$ for ${\lambda _2} = 0.5, E\left[ {{G_1}} \right] = E\left[ {{G_2}} \right] = 1, {K_1} = 100$

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Figure 5. The equilibrium thresholds of the class-1 customers vs.$E\left[ {{G_1}} \right]$ for ${\lambda _2} = 0.5, E\left[ {{G_2}} \right] = 1, {K_1} = 100, {C_1} = 5$

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Figure 6. The expected net social benefit vs.$q$ for ${\lambda _1} = {\lambda _2} = 0.5, E\left[ {{G_1}} \right] = E\left[ {{G_2}} \right] = 1, E\left[ {{G_1^2}} \right] = E\left[ {{G_2^2}} \right] = 1.2, {C_1} = 10, {K_2} = 100, {C_2} = 50$

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Figure 7. The expected net social benefit vs.$q$ for ${\lambda _1} = {\lambda _2} = 0.5, E\left[ {{G_1}} \right] = E\left[ {{G_2}} \right] = 1, E\left[ {{G_1^2}} \right] = E\left[ {{G_2^2}} \right] = 1.2, {K_1} = 10, {K_2} = 100, {C_2} = 50$

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Figure 8. Equilibrium and socially optimal joining probabilities of the class-1 customers vs. ${K_1}$ for ${\lambda _1} = {\lambda _2} = 0.5, E\left[ {{G_1}} \right] = E\left[ {{G_2}} \right] = 1, E\left[ {{G_1^2}} \right] = E\left[ {{G_2^2}} \right] = 1.2, {C_1} = 10$

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Figure 9. Equilibrium and socially optimal joining probabilities of the class-1 customers vs. ${C_1}$ for ${\lambda _1} = {\lambda _2} = 0.5, E\left[ {{G_1}} \right] = E\left[ {{G_2}} \right] = 1, E\left[ {{G_1^2}} \right] = E\left[ {{G_2^2}} \right] = 1.2, {K_1} = 50$

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Figure 10. Equilibrium and socially optimal joining probabilities of the class-1 customers vs. ${\lambda _1}$ for ${\lambda _2} = 0.2, E\left[ {{G_1}} \right] = E\left[ {{G_2}} \right] = 1, E\left[ {{G_1^2}} \right] = E\left[ {{G_2^2}} \right] = 1.2, {K_1} = 15, {C_1} = 10$

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