Emergency ambulance deployment in Barbados: a multi-objective approach
提出多目标最大可用性选址问题，放松服务器独立性假设，用排队概率选址覆盖模型计算区域服务器全忙概率，优化覆盖人口与成本，基于巴巴多斯救护车数据求解并仿真验证。
A multi-objective version of the Maximum Availability Location Problem is presented in this paper. The assumption of server independence is relaxed by adopting the approach of the Queuing Probabilistic Location Set Covering Problem for calculating the probability that all servers in a given region are busy. The first objective seeks to maximize the population receiving coverage within a given distance standard and with a given level of reliability. The second objective chooses those locations which minimize the cost of covering the population. This model is used to obtain sets of good locations using data obtained from the Barbados Emergency Ambulance Service. The solutions obtained from the optimization model are then subject to a detailed analysis by simulation. The results reveal the potentially good performance of the system, when locations derived from the optimization model are used.