THE OPTIMAL ADMISSION THRESHOLD IN OBSERVABLE QUEUES WITH STATE DEPENDENT PRICING

Author:

Borgs Christian,Chayes Jennifer T.,Doroudi Sherwin,Harchol-Balter Mor,Xu Kuang

Abstract

We consider the social welfare model of Naor [20] and revenue-maximization model of Chen and Frank [7], where a single class of delay-sensitive customers seek service from a server with an observable queue, under state dependent pricing. It is known that in this setting both revenue and social welfare can be maximized by a threshold policy, whereby customers are barred from entry once the queue length reaches a certain threshold. However, no explicit expression for this threshold has been found. This paper presents the first derivation of the optimal threshold in closed form, and a surprisingly simple formula for the (maximum) revenue under this optimal threshold. Utilizing properties of the Lambert W function, we also provide explicit scaling results of the optimal threshold as the customer valuation grows. Finally, we present a generalization of our results, allowing for settings with multiple servers.

Publisher

Cambridge University Press (CUP)

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Statistics, Probability and Uncertainty,Statistics and Probability

Cited by 14 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Analysis of strategic customer behavior in observable M/G/ 1 queues with impatience;Quality Technology & Quantitative Management;2023-09-20

2. Optimal Pricing in a Single Server System;ACM Transactions on Modeling and Performance Evaluation of Computing Systems;2023-08-11

3. Optimal Admission Control Mechanism Design for Time-Sensitive Services in Edge Computing;IEEE INFOCOM 2022 - IEEE Conference on Computer Communications;2022-05-02

4. Optimal pricing in multi server systems;Performance Evaluation;2022-04

5. ON MARKOVIAN QUEUES WITH SINGLE WORKING VACATION AND BERNOULLI INTERRUPTIONS;Probability in the Engineering and Informational Sciences;2021-01-11

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