排队论
服务提供商
计算机科学
调度(生产过程)
服务(商务)
运营管理
业务
营销
经济
计算机网络
作者
Nan Liu,Willem van Jaarsveld,Shan Wang,Guanlian Xiao
出处
期刊:Management Science
[Institute for Operations Research and the Management Sciences]
日期:2023-02-06
卷期号:69 (10): 5904-5922
被引量:16
标识
DOI:10.1287/mnsc.2023.4676
摘要
Outpatient care providers usually allow patients to access service via scheduling appointments or direct walk-in. Patients choose strategically between these two access channels (and otherwise balking) based on the trade-off of appointment delay and in-clinic waiting. How to manage outpatient care with such dual access channels, taking into account patient strategic choice behavior, is a challenge faced by providers. We study three operational levers to address this management challenge: service capacity allocation between these two channels, appointment delay information revelation via the choice and design of online scheduling systems, and a walk-in triage system that restricts the use of walk-in hours only for acute care. By studying a stylized queueing model, we find that neither a real-time online scheduling system (which offers instant access to appointment delay information at time of booking) nor an asynchronous online system (which does not directly provide delay information) can be universally more efficient. Although real-time systems appear more popular in practice, asynchronous systems sometimes can result in higher operational efficiency. Under the provider’s optimal capacity allocation, which scheduling system is more efficient hinges on two key factors: the patient demand–provider capacity relationship and patient willingness to wait. For the walk-in triage system, we find that it may or may not be beneficial to adopt; the provider’s own cost trade-off between lost demand and overtime work is the key determinant. Our research highlights that there is no one-size-fits-all model for outpatient care management, and the best use of operational levers critically depends on the practice environment. This paper was accepted by Jayashankar Swaminathan, operations management. Funding: S. Wang’s work was supported in part by the National Natural Science Foundation of China [Grants 72001220 and 71931008]. Supplemental Material: The online appendix is available at https://doi.org/10.1287/mnsc.2023.4676 .
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