Equilibrium Queueing Strategies in M/G/1 Queues with the Reference Time Effect

IF 1 4区 数学 Q3 STATISTICS & PROBABILITY Methodology and Computing in Applied Probability Pub Date : 2023-11-20 DOI:10.1007/s11009-023-10062-x
Tao Jiang, Li Gao, Xudong Chai
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Abstract

Waiting is a major factor influencing the perception of delay-sensitive customers in the service industry. In the process of queueing, some customers often have a psychological expectation of waiting time in the face of uncertain delay information, so that customer service utility depends not only on the actual waiting time, but also on the relative amount of the actual waiting time and the psychological expectation of waiting time. Therefore, this paper investigates how the reference time effect affects heterogeneous customers' queueing decisions and service system efficiency measures (system throughput and social welfare) in an M/G/1 queue with limited service resources and capacity. The results show that the equilibrium joining probability of customers, the system throughput and social welfare are relatively higher as the proportion of customers with high tolerance levels in the queue increases. In addition, the maintenance of customer homogeneity is better for the improvement of service resource utilization, while the maintenance of customer heterogeneity is better for social welfare. As the psychological expected waiting time increases, the equilibrium joining probability of potential customers and the system throughput increase, while the equilibrium joining probability of existing customers decreases, and the social welfare shows a non-monotonic trend of first decreasing and then increasing. The equilibrium queueing strategies for each type of customer and the service system efficiency measures are not monotonic with the change of the reference time effect parameter. Finally, the optimal social welfare is increasing with respect to the degree of reference time effect and the psychological expectation of waiting time.

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参考时间效应下M/G/1队列的均衡排队策略
等待是影响服务行业延迟敏感顾客感知的主要因素。在排队过程中,面对不确定的延误信息,一些顾客往往会产生对等待时间的心理预期,从而使得顾客服务效用不仅取决于实际等待时间,而且取决于实际等待时间与心理等待时间预期的相对数量。因此,本文研究了在服务资源和容量有限的M/G/1队列中,参考时间效应如何影响异构顾客排队决策和服务系统效率指标(系统吞吐量和社会福利)。结果表明,随着高容忍度顾客比例的增加,顾客的均衡加入概率、系统吞吐量和社会福利都相对较高。此外,维持顾客同质性更有利于服务资源利用率的提高,而维持顾客异质性更有利于社会福利。随着心理期望等待时间的增加,潜在客户的均衡加入概率和系统吞吐量增加,而现有客户的均衡加入概率降低,社会福利呈现先降低后增加的非单调趋势。随着参考时间效应参数的变化,各类型顾客的均衡排队策略和服务系统效率度量不是单调的。最后,最优社会福利随着参考时间效应的程度和等待时间的心理期望而增加。
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来源期刊
CiteScore
1.70
自引率
0.00%
发文量
58
审稿时长
6-12 weeks
期刊介绍: Methodology and Computing in Applied Probability will publish high quality research and review articles in the areas of applied probability that emphasize methodology and computing. Of special interest are articles in important areas of applications that include detailed case studies. Applied probability is a broad research area that is of interest to many scientists in diverse disciplines including: anthropology, biology, communication theory, economics, epidemiology, finance, linguistics, meteorology, operations research, psychology, quality control, reliability theory, sociology and statistics. The following alphabetical listing of topics of interest to the journal is not intended to be exclusive but to demonstrate the editorial policy of attracting papers which represent a broad range of interests: -Algorithms- Approximations- Asymptotic Approximations & Expansions- Combinatorial & Geometric Probability- Communication Networks- Extreme Value Theory- Finance- Image Analysis- Inequalities- Information Theory- Mathematical Physics- Molecular Biology- Monte Carlo Methods- Order Statistics- Queuing Theory- Reliability Theory- Stochastic Processes
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