Optimal Dynamic Mechanism Design With Stochastic Supply and Flexible Consumers

成果类型:
Article
署名作者:
Navabi, Shiva; Nayyar, Ashutosh
署名单位:
University of Southern California
刊物名称:
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
ISSN/ISSBN:
0018-9286
DOI:
10.1109/TAC.2022.3184394
发表日期:
2023
页码:
3257-3272
关键词:
Resource management dynamic scheduling computational modeling statistics sociology Radio spectrum management cost accounting Bayesian incentive compatibility dynamic mechanism design flexible demand Optimal mechanism revenue maximization
摘要:
In this article, we consider the problem of designing an expected-revenue-maximizing mechanism for allocating multiple nonperishable goods of k varieties to flexible consumers over T time steps. In our model, a random number of goods of each variety may become available to the seller at each time, and a random number of consumers may enter the market at each time. Each consumer is present in the market for one time step and wants to consume one good of one of its desired varieties. Each consumer is associated with a flexibility level that indicates the varieties of goods it is equally interested in. A consumer's flexibility level and the utility it gets from consuming a good of its desired varieties are its private information. We characterize the allocation rule for a Bayesianincentive-compatible, individually rational, and expected revenue-maximizing mechanism in terms of the solution to a dynamic program. The corresponding payment function is also specified in terms of the optimal allocation function. We leverage the structure of the consumers' flexibility model to simplify the dynamic program. Our simplified dynamic program allows us to provide an explicit allocation procedure and a simple payment rule in terms of the solution of the dynamic program.