Research on optimization of Dispatching System of Military Disaster relief Material Transport Vehicles

Authors

  • Shuai Shao
  • Congli Li

DOI:

https://doi.org/10.54097/xrn5ep15

Keywords:

Army; Emergency transport; Vehicle scheduling; Genetic algorithm (ga).

Abstract

With the rapid development of informatization, a more efficient dispatching system is needed in the process of military logistics and transportation management to provide guarantee for emergency needs. From China’s point of view, in the face of natural disasters, the military’s participation in rescue is a common guarantee task. How to optimize the effective vehicle scheduling in the process of specific disaster relief material transportation is of great significance to promote the timeliness and effectiveness of rescue. This article establishes a vehicle scheduling model based on time windows by combining the characteristics of emergency transportation, in order to function by the time function, and can be solved by using genetic algorithm, according to the example analysis algorithm in overcome the problem of convergence time, can effectively promote the transportation vehicle scheduling, relief materials transportation scheduling decisions about the army have corresponding reference value.

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References

TANG Hongliang;WU Bolin;HU Wang;KANG Chengxu. Earthquake Emergency Resource Multiobjective Schedule Algorithm Based on Particle Swarm Optimization [J]. Journal of Electronics & Information Technology,2020,42(03):737-745.

SHAO Ze-jun;CHEN Fan-hong;LV Xiao-na;GUO Hui-min. Research on Multi-resource Emergency Scheduling Based on Improved Particle Swarm Optimization [J]. Value Engineering, 2020, 39(10):243-245.

YUAN Jin-sha;MA Zi;YANG Hong. Research on Intelligent Dispatching of Emergency Materials in the Early Stage of Earthquake Relief [J]. Science Technology and Engineering, 2020, 20(21): 8702-8708.

WANG Fu-yu;CHEN Jing-jing;FANG Cheng-wu. REVIEW OF EMERGENCY MATERIAL DISPATCHING DISTURBANCEMANAGEMENT CONSIDERING MATERIAL DEMAND [J]. Journal of Nanyang Institute of Technology, 2021, 13(02):10-18+25.

Özdamar. Escape behavior in factory workshop fire emergencies: a multi-agent simulation [J]. Information Technology & Management, 2018, 15(2): 141-149.

Korosec T. Resource sufficiency, organizational cohesion, and organizational effectiveness of emergency response [J]. Natural Hazards, 2019, 58(1):221-234.

DU Xuejing;WANG Aihui;SUN Feifei. The Optimized Scheduling of Emergency Supplies in Highways Under Emergencies [J]. Journal of Transport Information and Safety, 2021, 39(04):52-59.

WANG Xiaoyang;YANG Tingyu;LI Linqian;XU Changan;NI shaoquan. Trans-Regional Comprehensive Traffic Emergency Dispatch Based on Multi-Agent System [J]. China Transportation Review, 2021,43(09):27-33.

Gan Xizhi, zhangxin. Research on Optimal Transportation in Emergency Logistics under the Condition of Road Congestion[J]. Business & Economy, 2019(03):60-62+68.

ZHANG Yuzhou;XU Tingzheng;ZHENG Junshuai;RAO Shun. Modeling and optimization of disaster relief vehicle routing problem considering urgency [J]. Journal of Computer Applications, 2019,39(08):2444-2449.

WANG Wei;ZHU Bing;TIAN Qinxue. Research on vehicle scheduling optimization model under earthquake disaster conditions considering delay time [J]. Journal of Henan Polytechnic University (Natural Science), 2019,38(06):92-98.

CHEN Yudan. Research on Vehicle Scheduling Optimization of Emergency Medicine Logistics Distribution [J]. China Journal of Commerce,2021(11):30-32.

HUANG Hui;LIANG Xing;LI Meng-xiang;ZHANG Juan. Research on Decision-making for Joint Distribution of Emergency Materials [J]. Operations Research and Management Science,2021,30(06):48-54.

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Published

21-05-2024

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Section

Articles