JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE) ›› 2023, Vol. 58 ›› Issue (3): 109-120.doi: 10.6040/j.issn.1671-9352.0.2021.256
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ZHUANG Yuan-yuan, ZHANG Ke-yong
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| [1] 蔡洁,贾浩源,王珂.基于SEIR模型对武汉市新型冠状病毒肺炎疫情发展趋势预测[J].山东医药,2020,60(6):1-4. CAI Jie, JIA Haoyuan, WANG Ke. Prediction of COVID-19 epidemic trend in Wuhan based on SEIR model[J]. Shandong Medicine, 2020, 60(6):1-4. [2] YE Yong, LIU Nan, HU Guiping, et al. Scheduling algorithm based on follow-up sharing character for post-event response resource distribution in large-scal disasters[J]. Journal of Systems Science & Systems Engineering, 2016, 25(1):77-101. [3] CHEN Yingxin, TADIKAMALLA P R, SHANG J, et al. Supply allocation: bi-level programming and differential evolution algorithm for natural disaster relief[J]. Cluster Comput, 2020, 23(1):203-217. [4] 冯春,廖海燕,田小强,等.多情景模式下应急资源精益配置模型与算法[J].中国安全科学学报,2018,28(6):185-191. FENG Chun, LIAO Haiyan, TIAN Xiaoqiang, et al. Lean allocation model and algorithm of emergency resources in multi-scenario mode[J]. China Safety Science Journal, 2018, 28(6):185-191. [5] 董银红,郑琪,李龙.考虑供应风险的多源应急物资采购双层规划模型[J].中国管理科学, 2019,29(11):170-178. DONG Yinhong, ZHENG Qi, LI Long. Consider supply multi-source emergency supplies procurement bi-level programming model of risk[J]. China Management Science, 2019, 29(11):170-178. [6] PRADHANANGA R, MUTLU F, POKHAREL S, et al. An integrated resource allocation and distribution model for pre-disaster planning[J]. Comput Ind Eng, 2016, 91:229-238. [7] MING L, WEI Y. A new perspective for scheduling the medical resource order and distribution[C] //Control Conference. Dalian: IEEE, 2017. [8] 李永义, 周正华, 李伯权, 等. 基于区间数可能度的地震应急物资分配优化方法[J]. 应用基础与工程科学学报, 2015, 23(3):637-644. LI Yongyi, ZHOU Zhenghua, LI Boquan, et al. Earthquake emergency materials distribution optimization method based on interval number probability[J]. Journal of Basic Science and Engineering, 2015, 23(3):637-644. [9] SHEU J B. An emergency logistics distribution approach for quick response to urgent relief demand in disasters[J]. Transportation Research Part E: Logistics & Transportation Review, 2007, 43(6):687-709. [10] 任斌,朱昌锋,钟校.基于前景理论的应急物资需求动态调整模型[J].中国安全科学学报,2018,28(3):179-184. REN Bin, ZHU Changfeng, ZHONG Xiao. Dynamic adjustment model of emergency material demand based on prospect theory[J]. China Safety Science Journal, 2018, 28(3):179-184. [11] 胡忠君,刘艳秋,李佳.基于改进GM(1,1)的洪涝灾害应急物资动态需求预测[J].系统仿真学报,2019,31(4):702-709. HU Zhongjun, LIU Yanqiu, LI Jia. Dynamic demand prediction of flood disaster emergency materials based on improved GM(1,1)[J]. Journal of System Simulation, 2019, 31(4):702-709. [12] 张磊.面向地震灾情时序变化的应急救援物资需求动态预测研究[J].灾害学,2018,33(3):161-164. ZHANG Lei. Research on dynamic prediction of demand for emergency relief materials for earthquake disaster time series change[J]. Disaster Science, 2018(3):161-164. [13] 张斌,陈建国,吴金生,等.台风灾害应急物资需求预测模型[J].清华大学学报(自然科学版),2012,52(7):891-895. ZHANG Bin, CHEN Jianguo, WU Jinsheng, et al. Forecasting model of emergency materials demand for typhoon disaster[J]. Journal of Tsinghua University(Science & Technology), 2012, 52(7):891-895. [14] RAINISCH G, UNDURRAGA E A, CHOWELL G. A dynamic modeling tool for estimating healthcare demand from the COVID19 epidemic and evaluating population-wide interventions[J]. International Journal of Infectious Diseases, 2020, 96:376-383. [15] LIU Ming, NING Jing, DU Yuri, et al. Modelling the evolution trajectory of COVID-19 in Wuhan, China: experience and suggestions[J]. Public Health, 2020, 183(1):76-80. [16] VERMA V R, SAINI A, GANDHI S, et al. Capacity-need gap in hospital resources for varying mitigation and containment strategies in India in the face of COVID-19 pandemic[J]. Infectious Disease Modelling, 2020, 5:608-621. [17] WEISSMAN G E, CRANE-DROESCH A, CHIVERS C, et al. Locally informed simulation to predict hospital capacity needs during the COVID-19 pandemic[J]. Annals of Internal Medicine, 2020, 173(1):21-28. [18] SHEU J B. Dynamic relief-demand management for emergency logistics operations under large-scale disasters[J]. Transportation Research Part E: Logistics and Transportation Review, 2010, 46(1):1-17. [19] KONSTANTINOS N, SUSHIL P, ANDREAS S, et al. Forecasting and planning during a pandemic: COVID-19 growth rates, supply chain disruptions, and governmental decisions[J]. European Journal of Operational Research, 2021, 290(1):99-115. [20] HE Yuxuan, LIU Nan. Methodology of emergency medical logistics for public health emergencies[J]. Transportation Research Part E, 2015, 79:178-200. [21] EKICI A, KESKINOCAK P, SWANN J L. Modeling influenza pandemic and planning food distribution[J]. Manufacturing & Service Operations Management, 2014, 16(1):11-27. [22] 王新平,王海燕.多疫区多周期应急物资协同优化调度[J].系统工程理论与实践,2012,32(2):283-291. WANG Xinping, WANG Haiyan. Coordinated and optimized dispatching of emergency supplies in multiple epidemic areas[J]. Systems Engineering-Theory & Practice, 2012, 32(2):283-291. [23] 范如国,王奕博,罗明,等.基于SEIR的新冠肺炎传播模型及拐点预测分析[J].电子科技大学学报,2020,49(3):369-374. FAN Ruguo, WANG Yibo, LUO Ming, et al. COVID-19 transmission model and inflection point prediction based on SEIR[J]. Journal of University of Electronic Science and Technology of China, 2020, 49(3):369-374. [24] 余玮. 基于实时数据的医疗物资订购与配送动态协调优化[D].南京:南京理工大学,2018. YU Wei. Dynamic coordination and optimization of medical supplies ordering and distribution based on real-time data[D]. Nanjing: Nanjing University of Science and Technology, 2018. |
| [1] | ZHANG Ke-yong, LYU Mei-lin, YAO Jian-ming, WANG Hao. Study on the way to improve the satisfaction of logistics outsourcing——A fuzzy set qualitative comparative analysis of 102 cases [J]. JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE), 2019, 54(3): 119-126. |
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