Modelling, simulation and optimisation of medical enterprise warehousing process based on FlexSim model and greedy algorithm

被引:6
|
作者
Wang, Hexu [1 ,2 ]
Xie, Fei [3 ,4 ]
Li, Jing [1 ]
Miu, Fei [5 ]
机构
[1] Xijing Univ XJU, Sch Business, Xian, Shaanxi, Peoples R China
[2] Peking Univ PKU, Guanghua Sch Management, Beijing, Peoples R China
[3] Xidian Univ XDU, Sch AOAIR, Xian, Shaanxi, Peoples R China
[4] Tsinghua Univ THU, Dept Elect Engn, Beijing, Peoples R China
[5] Shanghai Jiao Tong Univ SJTU, Rui Jin Hosp, Sch Med, Shanghai, Peoples R China
基金
中国国家自然科学基金;
关键词
medical supply chain; medical warehousing; FlexSim; greedy algorithm; artificial intelligence application;
D O I
10.1504/IJBIC.2022.120756
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
With the modern logistics gradual transformed from labour-intensive to technology-intensive industry, artificial intelligence technology is widely used in logistics scheduling optimisation. As the warehouse management is one of the most important activities of logistics, the operation level of warehousing has a direct impact on the efficiency and total cost of the whole supply chain. Therefore, this paper takes the medical enterprise as the research object, investigates the current situation of its warehousing process, and finds out the existing problems. Then, FlexSim modal and greedy algorithms are used to simulate and optimise the operation process. After optimisation, the efficiency of medical storage has been improved obviously, and the operation cost has been reduced significantly, so as to realise the lean management of the whole medical supply chain.
引用
收藏
页码:59 / 66
页数:8
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