多阶段应急物流设施选址-路径优化研究数据集

针对应急物资动态调度问题，以救助时效为目标，结合应急物资的不同储运特征，构建不同供应链结构下应急物资调度网络，进行多需求点、多储备点/生产点/协同供给点的供需匹配模式设计。传染病系数来自开源数据，为位于中国东北地区三省的传染病患病人数，由国家地球系统科学数据中心采集并记录中国东北地区部分城乡易感者的发病率、死亡率和患病情况等信息的公开数据集。并通过该数据集估计传染病模型参数。同时在数据中选择吉林市地区的部分小区及公共设施作为顾客点和配送中心，数据记录中包括点的坐标及顾客点传染病系数等信息。衍生数据通过对原始数据集进行清理筛选获得，且仅包含典型区域的顾客点及配送该中心数据，并通过模型预测出传染病参数，数据量100KB。Aiming at the dynamic emergency material scheduling problem with the goal of optimizing rescue timeliness, this study constructs emergency material scheduling networks under various supply chain structures by incorporating the distinct storage and transportation characteristics of emergency supplies, and designs supply-demand matching modes involving multiple demand points, multiple reserve points, production points and collaborative supply points. The epidemic coefficient data is sourced from an open-source dataset, which records the number of infectious disease patients in the three provinces of Northeast China. This dataset is collected and documented by the National Earth System Science Data Center, containing information such as the incidence rate, mortality rate and disease status of susceptible populations in some urban and rural areas of Northeast China. The parameters of the epidemic model are estimated using this dataset. Meanwhile, some residential communities and public facilities in Jilin City are selected from the dataset as customer points and distribution centers, with their coordinates and epidemic coefficients of customer points recorded in the dataset. The derived dataset is generated by cleaning and filtering the original dataset, and only contains data of customer points and distribution centers in typical areas. The epidemic parameters are predicted via the established model, and the total size of the derived dataset is 100 KB.

搜集汇总

背景与挑战

背景概述

该数据集聚焦于应急物流中的设施选址与路径优化问题，旨在通过构建多阶段供应链网络来提升救助时效。它利用中国东北地区的传染病开源数据估计模型参数，并包含吉林市部分小区及公共设施的坐标信息，数据量约为1.32MB。