Early warning decision-making system based on cloud computing technology for retail supply chain unconventional emergency

For the deep uncertainty and large data characteristics of the retail supply chain unconventional emergency, the architecture and design issues of early warning decision-making management system for retail supply chain unconventional emergency were researched based on MAS and cloud computing technology. According to the design principles of early warning decision-making management system, the business intelligence system framework of early warning decision-making for retail supply chain unconventional emergency was created based on cloud computing technology. For the complex adaptation of early warning decision-making management system, the MAS organizational structure of early warning decision-making management system for retail supply chain unconventional emergency was constructed based on the modeling method of multi-agent complex system. In the cloud computing environment, the network topology and data warehouse system architecture were established to realize the acquisition and sharing mechanism of the scene big data in the early warning decision-making management system for retail supply chain unconventional emergency. The results of empirical experiment show that the system can improve the intelligence and accuracy of the early warning decision-making for retail supply chain unconventional emergencies.