Optimization of Emergency Epidemic Prevention Material Reserve and Supply System of Shanxi Province in China: Based on Anylogic Simulation
Downloads
Due to the randomness and uncertainty of epidemic occurrence, there are insufficient emergency supplies and low efficiency of transportation equipment in Shanxi Province. In order to meet the needs of materials in Shanxi Province, it is urgently necessary to establish a reserve and supply system with perfect facilities and equipment. According to the geographical location of 11 prefecture-level cities in Shanxi Province and the actual situation of transportation equipment, this paper simulates the location of warehouse construction in each city. Through simulation modeling, the emergency epidemic prevention materials reserve and supply system of prefecture-level cities in Shanxi Province was simulated under the epidemic situation. The research idea of "simulation-analysis-optimization-summary" was defined, and the AnyLogic software was used to simulate and analyze the emergency epidemic prevention materials reserve and supply system of the whole Shanxi Province. Through the simulation of different scenarios, the optimization direction of transportation equipment is obtained. Based on the optimization effect of each plan of transportation equipment loading on the emergency epidemic prevention materials reserve and supply system in Shanxi Province, the best optimization plan was obtained. The results show that the efficiency of transportation equipment allocation is improved and the loading capacity of transportation equipment is reasonable and effective. After optimization, the order backlog of each prefecture-level city storage warehouse is reduced, and the order processing time is reduced. The optimization ideas proposed in this paper provide the optimization direction for the emergency epidemic prevention materials reserve and supply system in Shanxi Province, and also have certain guiding significance for how to deal with major public health emergencies.
Yi, S. Jing, W. Changxin, L. and Yongbin, Z. (2020) Accelerate the Modernization of China's Emergency Material Reserve Management System. Journal of the Chinese Academy of Sciences, 35(06), 724-731.
Yumeng, S. (2023) Establishment of the emergency material reserve mechanism for public health emergencies and optimization of the management of various functional departments. Frontiers in Public Health, 10(01), 1092375.
Guo, Y. Wood, J and Pan, W. (2018) Inventory optimization of airport perishable emergency supplies with replacement strategy facing stochastic occurrence time by CVaR approach. International Journal of Disaster Risk Reduction, 31(04), 170-183.
Luyan, W. Yuan, J. Liujun, P. (2023) Research on household emergency supplies storage from the theory of planned behavior and intention-behavior gap in the context of COVID-19. Frontiers in Psychology, 13(01), 1069843.
Arnold, J. Minner, S. and Eidam, B. (2009) Raw material procurement with fluctuating prices. International Journal of Production Economics, 121(02), 353–364.
Fuyu, W. Xuefei, G. Yan, L. Jingjing, Z. and Weichen, Z. (2023) Optimising the Distribution of Multi-Cycle Emergency Supplies after a Disaster. Sustainability, 15(02), 902.
Beamon, B. M. and Kotleba, S.A. (2006) Inventory modelling for complex emergencies in humanitarian relief operations. International Journal of Logistics Research and Applications, 9(01), 1-18.
Ozguven, E. E. and Ozbay, K. (2012) Case Study–Based Evaluation of Stochastic Multicommodity Emergency Inventory Management Model. Transportation Research Board, 2283(01), 12-24.
Shilong, L. and Zhenlin, W. (2018) A hybrid approach based on the analytic hierarchy process and 2-tuple hybrid ordered weighted averaging for location selection of distribution centers. PLoS One, 13(11), 1-17.
Nyimbili, P. H. and Erden, T. (2020) GIS-based fuzzy multi-criteria approach for optimal site selection of fire stations in Istanbul, Turkey. Socio-Economic Planning Sciences, 71(10), 38-121.
Xinxin, Y. Hanping, H. Jianliang, Y. and Jiaqi, F. (2021) Site Selection and Layout of Material Reserve Based on Emergency Demand Graduation under Large-Scale Earthquake. Sustainability, 13(03), 1236.
Yandong, H. Xu, W. (2017) Sustainable decision making for joint distribution center location choice. Transportation Research Part D, 55(07), 202-216.
Seelbach, L. A. (2015) Stochastic modeling to allocate and assess disaster response capacity in logistics networks. Massachusetts Institute of Technology, 17(06), 113-118.
Jian-Rui, F. Wen-mei, G. Ju-ying, L. and Ming, X. (2020) Location selection of emergency supplies repositories for emergency logistics management: a variable weighted algorithm. Journal of Loss Prevention in the Process Industries, 63(01), 104032.
Xiangjing, M. Jikun, G. Zhendong, Y. and Du, C. (2016) Study on the site selection of emergency material reserve point based on multi-objective decision method. Journal of Computational Methods in Sciences and Engineering, 16(03), 481-492.
Villarreal, B. Garza-Reyes, J. A. Granda-Gutiérrez, E. Kumar, V. and Lankenau-Delgado, S. (2018) A Lean transportation approach for improving emergency medical operations. Production Planning & Control, 29(11), 928-942.
Ying, Q. Meng, S. Xinna, Z. Yongping, J. (2023) System dynamics mechanism of cross-regional collaborative dispatch of emergency supplies based on multi-agent game. Complex & Intelligent Systems, 9(03), 2321-2332.
Bouziyane, B. Dkhissi, B. and Cherkaoui, M. (2018) Solving Dynamic Vehicle Routing Problem with Soft Time Windows basing on the Static Problem Resolution by a Hybrid Approach. International Journal of Supply and Operations Management, 5(02), 134-151.
Shaolong, H. Chuanfeng, H. Zhijie Sasha, D. and Lingpeng, M. (2019) A multi-stage Stochastic Programming Model for Relief Distribution Considering the State of Road Network. Transportation Research Part B: Methodological, 123(03), 64-87.
Chengming, Q. Lishuan, H. (2020) Optimization of vehicle routing problem for emergency cold chain logistics based on minimum loss. Physical Communication, 40(06), 101085.
Yanyan, W. Baiqing, S. (2018) A Multiobjective Allocation Model for Emergency Resources That Balance Efficiency and Fairness. Mathematical Problems in Engineering, 2018(10), 1-8.
Haishi, L. Yuxuan, S. Nan, P. Yi, L. Yuqiang, A. and Dilin, P. (2022) Study on the optimization of urban emergency supplies distribution paths for epidemic outbreaks. Computers & operations research, 146(10), 1-11.
Ferrer, J. M. Martin-Campo, F. J. and Ortuno, M. T. et al. (2018) Multi-criteria optimization for last mile distribution of disaster relief aid: Test cases and applications. European Journal of Operational Research, 269(2), 501-515.
Yiwen, J. Lee, L. and Zhensheng, L. (2018) A Multi-Objective Robust Optimization Design for Grid Emergency Goods Distribution Under Mixed Uncertainty. IEEE Access, 6(10), 61117-61129.
Xianfeng, Y. Wei, H. Yang, L. (2018) Inventory slack routing application in emergency logistics and relief distributions. PloS one, 13(6), 1-18.
Qingyi, W. and Xiaofeng, N. (2022) A stochastic programming model for emergency supply planning considering transportation network mitigation and traffic congestion. Socio-Economic Planning Sciences, 51(08), 910-920.
Vahdani, B. Veysmoradi, D. and Noori, F. (2018) Two-stage multi-objective location-routing-inventory model for humanitarian logistics network design under uncertainty. International Journal of Disaster Risk Reduction, 27(10), 290-306.
Paul, Jomon A. and Minjiao, Z. (2018) Supply location and transportation planning for hurricanes: A two-stage stochastic programming framework. European Journal of Operational Research, 274(1), 108-125.
Mengran, Wan. Chunming, Ye. and Dajiang, Peng. (2023) Multi-period dynamic multi-objective emergency material distribution model under uncertain demand. Engineering Applications of Artificial Intelligence, 117(01), 105530.
Ren, Xide. Jianming, Z. and Jun, H. (2012) Multi-period dynamic model for emergency resource dispatching problem in uncertain traffic network systems. Engineering Procedia, 22(5), 37-42．
Liu, C. (2021) Research on Decision Model of Emergency Material Distribution Based on Random Information. Journal of Physics: Conference Series, 2136(01), 012064.
Jianjun, D. Yuanxian, X. Bon-Gang, Hwang. Rui, Ren. and Zhilong, C. (2019) The impact of underground logistics system on urban sustainable development: A system dynamics approach. Sustainability, 11(5), 1223.
Copyright (c) 2024 Zhang Tianrui, Guo Yuanyuan, Gao Tianle, Zhang Jinyu, Li Shu, Wang Xinghua
This work is licensed under a Creative Commons Attribution 4.0 International License.
All Content should be original and unpublished.
