A Markov decision process approach for managing medical drone deliveries
作者：
Highlights：
• Creates stochastic scheduling and allocation problems with multiple classes of demand.
• Uses a Markov Decision process to model distribution operations of a drone hub.
• Classifies the demand based on the distance between the station and hospitals.
• Applies a reinforcement learning method to overcome the curses of dimensionality.
• Deduces managerial insights from the results of different sets of experiments.
摘要
•Creates stochastic scheduling and allocation problems with multiple classes of demand.•Uses a Markov Decision process to model distribution operations of a drone hub.•Classifies the demand based on the distance between the station and hospitals.•Applies a reinforcement learning method to overcome the curses of dimensionality.•Deduces managerial insights from the results of different sets of experiments.
论文关键词：Markov decision processes,Drones,Healthcare,Routing,Dynamic scheduling allocation,Reinforcement learning
论文评审过程：Received 29 October 2021, Revised 27 April 2022, Accepted 30 April 2022, Available online 14 May 2022, Version of Record 21 May 2022.
论文官网地址：https://doi.org/10.1016/j.eswa.2022.117490
