.png){kind=icon}
返回
A simulation optimization framework for ambulance deployment and relocation problems
.png){kind=icon}
PRE
AI
DOI：10.1016/j.cie.2014.03.008.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This paper studies ambulance deployment and relocation problems, which are two of the core decisions faced by emergency medical service control centers in metropolis. The challenge in the problems is to estimate the operational performance of a deployment plan under stochastic environments. More specifically, the stochastic and dynamic nature of request arrivals, fulfillment processes, and complex traffic conditions as well as the time-dependent spatial patterns of some parameters complicate the decisions in the problems. This paper proposes a simulation optimization method that enables evaluating the operational performance of deployment plans through a detailed simulation model. For guiding the search process in the simulation optimization method, the genetic algorithm is employed in this study. On the basis of the deployment decisions, a mathematical model on ambulance relocation is also proposed for adapting to the dynamic changing environments along the time. To illustrate the proposed method's usage in practice, a demo example about its application in Shanghai is given. Some numerical experiments are also performed to validate the effectiveness and the efficiency of the proposed methods. (C) 2014 Elsevier Ltd. All rights reserved.
Keyword:
Ambulance deployment
Ambulance relocation
Simulation optimization
Genetic algorithm
期刊
IF:
6.5
论文数:
1.0W
被引数:
3.8W
机构
引用论文
Extending the nonequilibrium square-gradient model with temperature-dependent influence parameters
.png){kind=icon}
PREAI
分享收藏
Arithmetic performance of children with cerebral palsy: The influence of cognitive and motor factors
OAAI
OAAI分享收藏分享收藏
查看更多内容