Open AccessLocation Planning of Field Ammunition Depot for Multi-stage Supply Based on Dijstra Algorithm
Author(s) -
Xianming Shi,
Haobang Liu,
Yuan Li,
Bo Zhu,
Junpeng Liang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2068/1/012015
Subject(s) - ammunition , adaptability , supply chain , supply and demand , field (mathematics) , selection (genetic algorithm) , plan (archaeology) , operations research , engineering , computer science , simulation , operations management , business , economics , mathematics , management , archaeology , marketing , artificial intelligence , pure mathematics , history , microeconomics
The location of field ammunition depots is related to the efficiency and effectiveness of ammunition supply and support, and is affected by the changing needs of different stages of operations. In response to complex situations such as damage to transportation roads, repairs, and dynamic changes in demand in the course of combat, the fastest supply speed is the primary goal, while the satisfaction rate, balance, and cost factors of the ammunition supply at each demand point are taken into account to build a multi-stage supply Site selection planning model for field ammunition depot. Use Dijstra algorithm’s hierarchical sequence method to determine the shortest supply time, gradually increase the supply time, find the relationship between supply time, satisfaction rate, balance and cost, and find a satisfactory location plan. Finally, the simulation case calculations show that the model can cover some key dynamic changes during wartime, with strong adaptability and more scientific site selection.