动态定价
收益管理
服务(商务)
收入
资源配置
微观经济学
定量配给
排队
计算机科学
需求管理
排队论
运筹学
业务
经济
营销
财务
医疗保健
宏观经济学
工程类
程序设计语言
经济增长
计算机网络
作者
Vibhanshu Abhishek,Mustafa Doğan,Alexandre Jacquillat
出处
期刊:Management Science
[Institute for Operations Research and the Management Sciences]
日期:2021-08-01
卷期号:67 (8): 4880-4907
被引量:4
标识
DOI:10.1287/mnsc.2020.3756
摘要
This paper optimizes dynamic pricing and real-time resource allocation policies for a platform facing nontransferable capacity, stochastic demand-capacity imbalances, and strategic customers with heterogenous price and time sensitivities. We characterize the optimal mechanism, which specifies a dynamic menu of prices and allocations. Service timing and pricing are used strategically to: (i) dynamically manage demand-capacity imbalances, and (ii) provide discriminated service levels. The balance between these two objectives depends on customer heterogeneity and customers’ time sensitivities. The optimal policy may feature strategic idlenexss (deliberately rejecting incoming requests for discrimination), late service prioritization (clearing the queue of delayed customers), and deliberate late-service rejection (focusing on incoming demand by rationing capacity for delayed customers). Surprisingly, the price charged to time-sensitive customers is not increasing with demand—high demand may trigger lower prices. By dynamically adjusting a menu of prices and service levels, the optimal mechanism increases profits significantly, as compared with dynamic pricing and static screening benchmarks. We also suggest a less information-intensive mechanism that is history-independent but fine-tunes the menu with incoming demand; this easier-to-implement mechanism yields close-to-optimal outcomes. This paper was accepted by Gabriel Weintraub, revenue management and market analytics.
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