Integration of Facility Location and Hypercube Queuing Models in Emergency Medical Systems
作者机构：Department of Industrial EngineeringUniversity of KurdistanSanandajIran School of Industrial EngineeringCollege of EngineeringUniversity of TehranTehranIran
出 版 物：《Journal of Systems Science and Systems Engineering》 (系统科学与系统工程学报（英文版）)
年 卷 期：2021年第30卷第4期
页 面：495-516页
核心收录：
学科分类：0810[工学-信息与通信工程] 1205[管理学-图书情报与档案管理] 081203[工学-计算机应用技术] 08[工学] 0802[工学-机械工程] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）]
主 题：Emergency medical system hypercube queuing system simulation-optimization genetic algorithm
摘 要：The purpose of emergency medical systems(EMS)is to save lives and reduce injuries with a quick response in *** performance of these systems is highly dependent on the locations of ambulances and the policy for dispatching them to the customers(i.e.,patients).In this study,two new mathematical models are presented to combine the decisions about the location and dispatching policy by integrating the location and hypercube queuing *** the presented models,the flow-balance equations of the hypercube queuing model are considered as the constraints of the location *** the first model,the status of each server is idle or busy at any moment,as in the classic hypercube queuing *** the second model,the travel time is considered independent of the on-scene time,and the status of each server is idle,busy,and traveling,or busy and serving a customer on the incident *** verify the models,some small-sized examples are first solved ***,an optimization framework based on the genetic algorithm is presented due to the complexity of the models for solving larger-sized *** approaches(i.e.,the exact and simulation-optimization)are used to extend the *** results demonstrate that the proposed optimization framework can obtain proper solutions compared to those of the exact ***,several performance measures are considered that can only be calculated using the second model.
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