Research on the collaborative mechanism of epidemic prevention supply chain driven by big data
The COVID-19 outbreak reveals that there is still much room for improvement in the current epidemic prevention supply chain coordination mechanism,and it is urgent to further promote digital transformation.Based on the supply chain operation reference model,build a future-oriented big data driven epidemic prevention supply chain coordination system,through planning simulation evaluation material demand,purchasing link real-time monitoring of production and circulation dynamic,using the optimization algorithm dynamically adjust production plan,support logistics path selection,guide epidemic prevention materials reasonable distribution,realize the whole chain fine scheduling,end-to-end through information flow,each link form closed loop control,make the system has the ability of active supply and continuous self optimization.This will not only greatly improve the response speed and accuracy of the allocation of epidemic prevention materials,but also significantly enhance the coordination efficiency of the main body of the supply chain,and help build an emergency support system with high acuity and flexibility,so as to better adapt to the severe situation of epidemic prevention and control.
big data analysisepidemic prevention supply chaindigital transformationcollaborative mechanismclosed-loop control
NETL
NSTL
万方数据
