Research On Optimization And Simulation Of Cigarette Mechanical Manufacturing Enterprise Logistics System Based On Lean Production Theory

Along with the rising of domestic productive forces and the production level, the original labor and regional advantages have been gradually losing their dominant superiorities, thus the development capacity and competitive edge of the tobacco machine manufacture enterprise will more depends on the scientific and reasonable inner-management. During the production of a enterprise, the ideas of lean production can greatly upgrade the enterprises’competitiveness, and make full use of "the third profits source". Faced with the increasingly tough market competition, how to put the lean logistics into practice, to meet more personalized customer demand and shorten production cycle have been urgent issues to be solved in a tobacco machine manufacturing enterprises. Combined with the latest research achievement of lean logistics, and with an enterprise1logistics activities as the reaseach project, this thesis has applied the lean thinking management theory, mathematical model, and logistics simulation software to solve the problems that how to reduce production cost and improve logistics operation effeciency, and completes the following tasks:1)According to the related theory and data based on investigation and analysis,this thesis has studied the basic lean logistics theory, and analyzed the lean logistics concept, goal, connotation and characteristics, summarized the main methods of lean logistics tools, on this basis, a tobacco machine enterprise lean production logistics system was established and its function model has been designed, finally the system optimization has been done along with system running2)The supplier evaluation and selection method were studied for putting forward a method of information integration based on evidence reasoning to calculate supplier evaluation index-weight under incomplete information contions. The concept of the satisfied consistency and the standard of judgment matrix were brought for incomplete complementary judgment matrix. A new more time point supplier evaluation mean also has been put forward. Taking the evaluation of a tobacco machine factory vacuum pump supplier as an example, this paper studied application steps and effectiveness of the evaluation mean.3) Set up a model to balance production logistics, discussed in detail of this modle including the basic idea, implementation steps, and interaction between the various elements of this model. Moreover, it also reaseached the issues on buffer settings, batch determination, advanced period. Applied particle swarm algorithm to optimize transit batch and production cycle, and through rigorous mathematical derivation got method for determining of production volume and transhipment volume before and after the bottleneck, and then based on historical data of a hood company, verified the superiority of the model.4) Investigated the order processing mode under lean production, analyzed order processing, and the factors that affect the order cycle, and analyzed the coordination problem between orders and logistics system, then made specific strategies. Analyzed sales inventory management mode under lean production, Established VMI inventory management model, made analysis from market forecasting and determine replenishment orders for vendors. The cigarette machinery distribution model is established based on fuzzy mathematics theory, and the example analysis on it is carried out.5) Through the application of Flexsim simulation modeling technology to establish production line simulation model and assembly line balancing optimization method analysis, the design of optimizing logistics on the the operating aspects is aiming at the lower productivity produced by imbalance on the the production capacity of the production line for the manufacturing enterprise workshops. By the simulation optimization, we solved the existing problem of the production line, and established the optimum production line improvement scheme, which improves the production equipment utilization effectively, as well as production efficiency of the production line.