The Research And Implement For Prediction System And Modeling Of Logistics Center Stock Based On Petri Net

The improvement of system and the resource collocation is one of the effective methods for a logistics center to keep its leading position in the market. The Prediction system of dispersion technology become the important tool to optimize the process and resource of logistic center , which can display the complicated logistic center operation characteristic and observe controllable parameter of system indictor to implement the analyses and accessorial management decision-making.First of all, this dissertation introduces the theory of Discrete Event System, discusses the modeling steps using ESHLEP-N and its characteristics and Flexsim Simulation tools, and studies the means of modeling and simulation on logistics Center.On describing the several kinds of resource in the system, the dissertation discusses the general process usually used in logistics centers to put forward the study. Based on the process analysis, the paper advances a general configuration and describes the indexes used in the model comprehensively. After that, the paper defines the study boundary and sets up the objective of the simulation. Via proper suppositions, it builds up the ESHLEP-N model of typical logistics center. By the interface converse between ESHLEP-N and Flexsim, implements its Flexsim model.After the simulation model is validated, the output reports and input and output conditions are analyzed to put forward the improvements for the enterprise. Then the paper discusses the service level and cost outputted in the report to defining the control-model for the optimizing collocation of resources. At last, the paper brings forward several feasible suggestions on the simulation output.