Research On Production Logistics Simulation Of J Company Based On Flexsim Platform

For manufacturing enterprise, the production logistics system can affect the normal production operations, Enterprise cost income and production efficiency; then further affect the competitiveness of enterprises in the market. And Production logistics system is a complex system, In order to have a better analysis of the production logistics system, the selection of a suitable analytical method is particularly important. In recent years, the rapid development of simulation technology, which make it more convenient to model the system of production logistics, simulate the planning of future projects to reduce risk and increase reliability.This paper takes J company as an example, use Flexsim simulation to analysis the production logistics system of the bus production workshop. Firstly, on the basis of the production logistics modeling method, select use Petri nets for modeling and analysis of the production logistics system. Summarizing the complex production process of J company with the logic diagram simply. Secondly select the typical Interior section production logistics system of J company, transform the Time-Petri net model into Flexsim simulation model, and according to the rule of the J company actual production line, setting Flexsim simulation model parameter setting, then complete Flexsim simulation model structure. Collect the data of J company and simulate the present situation of J company production logistics operation, and analyzed the results of operation; At last establish the optimization goal of production logistics system for the rapid response of J company needs, the optimization goal is minimize the Sum of stations IdleTime and BlockedTime. Choosing Tasks Time Optimization method and using Flexsim optimization simulation. Then according to the results of the simulation output get a Tasks Time, making the Sum of stations IdleTime and BlockedTime get minimum, which improve the efficiency of J company production line.