排队论
计算机科学
阿片类药物过量
整数(计算机科学)
整数规划
数学优化
类阿片
计算机网络
医学
数学
算法
(+)-纳洛酮
操作系统
受体
内科学
作者
Michel Lejeune,Wenbo Ma
出处
期刊:Operations Research
[Institute for Operations Research and the Management Sciences]
日期:2024-05-07
标识
DOI:10.1287/opre.2022.0489
摘要
This study proposes an emergency network design model that uses a fleet of drones to deliver naloxone in response to opioid overdoses. The network is represented as a collection of M/G/K queueing systems with variable capacity and service time modelled as a decision-dependent random variable. The model is a complex queuing-based optimization problem which locates drone bases and dispatches drones to opioid incidents. The authors devise an efficient solution framework in which they linearize the multiple nonlinearities (fractional, polynomial, exponential, factorial terms), derive an equivalent mixed-integer linear reformulation, and design an outer approximation branch-and-cut algorithm. The authors demonstrate the generalizablity of the approach to any problem minimizing the response time of M/G/K queueing systems with unknown capacity. Tests on Virginia Beach data reveal that drones can decrease response time by 82%, increase survival chance by more than 273%, save up to 33 additional lives annually, and provide up to 279 additional quality-adjusted life years.
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