Apply Supply Chain Simulation Modelling Technology To Logistics

As a complex system with multiple controlled constrains and objectives,logistics system should be optimized from an integrated view in order to improve the performance and lower the cost of the enterprise.The supply chain management theory could help coordinate the resource dispatching between nodes of the chain.However, currently most of the supply chain issues are handled by qualitative or quantitative analysis,limiting the study within the scope of simple business cooperation.That is the reason why there is little academic achievement concerning complex supply chain issue. Based on comprehensive study of the supply chain management and simulation theory, we create a hierarchical supply chain system.After carefully validation,it could be used to provide associative decision support to the enterprise of logistics.Firstly,we did a hierarchical analysis of the supply chain system.In order to simplify the complex system,we made a considerate analysis from the highest layers to the lowest according to the SCOR principle.Simultaneously,we create the evaluation criteria for the supply chain system.Next,use Arena simulation tool to create the model system.We were able to get real data from the Emerson Overseas Logistics System.Based on the theory of Probability Theory,we analyze these statistics and input them by using the Arena input analyzer.After finishing the simulation execution,we would then compare the results with the real data to repeatedly verify the supply chain system's accuracy.Finally,results analysis.We come up with improvement solutions by quantity analysis,by quantitative analysis using the Optquest optimizing tool,digging in the real cause of the inefficiency of the supply chain system.After applying these solutions on supply chain system using Arena,we can verify these solutions' potential success.Using the supply chain simulation model,we present a new method of dealing with complex supply chain system with which we build the hierarchical model,apply it to real cases and raise optimizing solutions accordingly.Thus,such proved efficient solutions would definitely make sense and contribute to assisting the decision maker.