Efficient ignorance : information heterogeneity in a queue

How would the growing prevalence of real-time delay information affect a service system? We consider a single-server queueing system where customers arrive according to a Poisson process and the service time follows an exponential distribution. There are two streams of customers, one informed about...

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Main Authors: Hu, Ming, Li, Yang, Wang, Jianfu
Other Authors: Nanyang Business School
Format: Article
Language:English
Published: 2020
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Online Access:https://hdl.handle.net/10356/137672
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1376722023-05-19T07:31:15Z Efficient ignorance : information heterogeneity in a queue Hu, Ming Li, Yang Wang, Jianfu Nanyang Business School Business::General Service Operations Queueing Games How would the growing prevalence of real-time delay information affect a service system? We consider a single-server queueing system where customers arrive according to a Poisson process and the service time follows an exponential distribution. There are two streams of customers, one informed about real-time delay and the other uninformed. The customers’ uninformed behavior may be due to information ignorance or rational behavior in the presence of an information fee. We characterize the equilibrium behavior of customers with information heterogeneity and investigate how the presence of a larger fraction of informed customers affects the system performance measures, i.e., throughput and social welfare. We show that the effects of growing information prevalence on system performance measures are determined by the equilibrium joining behavior of uninformed customers. Perhaps surprisingly, we find that throughput and social welfare can be unimodal in the fraction of informed customers. In other words, some amount of information heterogeneity in the population can lead to more efficient outcomes, in terms of the system throughput or social welfare, than information homogeneity. For example, under a very mild condition, throughput in a system with an offered load of 1 will always suffer if there are more than 58% of informed customers in the population. Moreover, it is shown that for an overloaded system with offered load sufficiently higher than 1, social welfare always reaches its maximum when some fraction of customers is uninformed of the congestion level in real time. 2020-04-08T03:31:34Z 2020-04-08T03:31:34Z 2017 Journal Article Hu, M., Li, Y., & Wang, J. (2018). Efficient ignorance : information heterogeneity in a queue. Management Science, 64(6), 2650-2671. doi:10.1287/mnsc.2017.2747 0025-1909 https://hdl.handle.net/10356/137672 10.1287/mnsc.2017.2747 2-s2.0-85047402262 6 64 2650 2671 en Management Science © 2017 INFORMS. All rights reserved.
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Business::General
Service Operations
Queueing Games
spellingShingle Business::General
Service Operations
Queueing Games
Hu, Ming
Li, Yang
Wang, Jianfu
Efficient ignorance : information heterogeneity in a queue
description How would the growing prevalence of real-time delay information affect a service system? We consider a single-server queueing system where customers arrive according to a Poisson process and the service time follows an exponential distribution. There are two streams of customers, one informed about real-time delay and the other uninformed. The customers’ uninformed behavior may be due to information ignorance or rational behavior in the presence of an information fee. We characterize the equilibrium behavior of customers with information heterogeneity and investigate how the presence of a larger fraction of informed customers affects the system performance measures, i.e., throughput and social welfare. We show that the effects of growing information prevalence on system performance measures are determined by the equilibrium joining behavior of uninformed customers. Perhaps surprisingly, we find that throughput and social welfare can be unimodal in the fraction of informed customers. In other words, some amount of information heterogeneity in the population can lead to more efficient outcomes, in terms of the system throughput or social welfare, than information homogeneity. For example, under a very mild condition, throughput in a system with an offered load of 1 will always suffer if there are more than 58% of informed customers in the population. Moreover, it is shown that for an overloaded system with offered load sufficiently higher than 1, social welfare always reaches its maximum when some fraction of customers is uninformed of the congestion level in real time.
author2 Nanyang Business School
author_facet Nanyang Business School
Hu, Ming
Li, Yang
Wang, Jianfu
format Article
author Hu, Ming
Li, Yang
Wang, Jianfu
author_sort Hu, Ming
title Efficient ignorance : information heterogeneity in a queue
title_short Efficient ignorance : information heterogeneity in a queue
title_full Efficient ignorance : information heterogeneity in a queue
title_fullStr Efficient ignorance : information heterogeneity in a queue
title_full_unstemmed Efficient ignorance : information heterogeneity in a queue
title_sort efficient ignorance : information heterogeneity in a queue
publishDate 2020
url https://hdl.handle.net/10356/137672
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