Study On Rapid Response To Diffusion Of Supply Chain Emergency

In recent years,with the deepening of economic globalization,the distance between enterprises is getting closer.On the one hand,the cooperation between enterprises is enhanced,and the production cost is reduced.On the other hand,the supply chain system composed of many enterprises has to face more complicated and changeable environment,resulting in a more fragile system.O nce emergencies occur in supp ly chain system,related hazards will cause serious losses to enterprises and affect the development of enterprises through a rapid proliferation of supply chain network system.Therefore,it is particularly important to reduce the impact of emergencies in the supply chain to achieve rapid recovery.In this paper,we combine the actual development with existing researches to analyze and stud y the spread of emergency in supply chain from the perspective of forecasting prevention and timely response.When the specific data in the supply chain network is unknown,the forecast and prevention of emergencies are carried out.Firstly,a matrix based on incident diffusion path clustering method is proposed.According to members of supply chain,a supply chain design structure matrix is established.Through cluster analysis of supply chain design structure matrix,members with strong relationship are aggregated into the same module.When emergencies occur in a certain member,related members can be quickly controlled within the module to reduce the impact of emergencies on the overall system.Secondly,a storage method based on clustering module emergent diffusion path is designed.Diffusion paths are classified according to the number of associated members and member positions in upstream and downstream,and the extensible markup language is used for structured storage.Finally,when unexpected events do not occur,fuzzy logic is used to predict the impact of natural environment,social demands and public opinions on demand in the supply chain system based on historical data.Emergency events in supply chain are prevented and response time is shortened.Supply chain network variables are known under specific variables,timely response to emergency research is studied.Firstly,an emergency path replanning model based on the minimum total cost is established.Secondly,from the perspective of supply chain system operation,considering manufacturing costs,transportation costs and other factors involving manufacturers,distribution centers and retailers,the minimum total cost of supply chain model is designed to calculate member associations and traffic changes caused by emergencies.The structure of the new supply chain network system resulting from changes provides the premise for responding to policy choices.Finally,a strategy selection model based on the minimum loss amount is established.Based on the reconstructed supply chain network,the maximum amount of loss in supply chain system is calculated according to factors such as the duration of contingencies,reserve stock of members and the volume of transportation.According to the unit loss cost of returned single,unsalable and outsourced strategies,the optimal strategy with the smallest amount of losses is deduced to make a rapid decision-making possible to control the spread of emergencies.The case result and experimental simulation show that two proposed methods can effectively reduce the emergency response time and achieve the rapid recovery to a steady state.The proposed two models reduce the minimum total cost of path planning and choose a reasonable strategy with the least loss.It provides a feasible and reasonable method to spread the response in the emergency of the supply chain and quickly return to the steady state.