Optimal Operation And Simulation On Tobacco Raw Material Blending Of Automatic Storage And Retrieval System

The traditional tobacco raw material warehouse has some disadvantage factors, such as low efficiency of goods in and out warehouse, high cost of operation and service, errors caused by human operation, which would be negative for cigarette enterprise to improve efficiency and market competitiveness. The theme of the paper is the "Design and optimizing operation of Tobacco Raw Material Blending of Automatic Storage and Retrieval System", which is combined with the actual requirement of the automated warehouse of the cigarette enterprise. The results of this study would impulse the improvement of efficiency, cost-reducing of operating and servicing, and development of the market competitiveness of the enterprise.Base on the modern advantage design technique, this paper consider the warehouse function with the whole condition from all of the design parameter. The paper expatiate the function, requirement, structure and the class of the automated warehouse in detail. Introduce the working process of TRMB-AS/RS especially. Design TRMB-AS/RS with scientific method by the requirement of the system.Base on the theory of Agent, the control method of product according to the needed of the tobacco factory base on Agent theory is put forward. This paper analyses the problems in the production and operation process of the tobacco enterprise and put forward the necessity for the enterprise to develop the production and management system. Put forward the theory of the product according to the needed of the tobacco enterprise base on the properties and the characteristics of Agent. Build the whole frame of the product according to the needed of the tobacco factory. This frame divides the departments of the factory to be the Agents, by the cooperation between which to finish the more and more complicated production work. Build a fuzzy neural network model, by which the enterprise could study the ways dealing with the accident to empress the retractility and agility of the network model. By the method above, keep the production and management system of the enterprise to work stably and efficiently.Basing on the designing theory and the working optimization principle of the stacker, explain the working principle and the optimization design of the stacker, which is the most important part in the automated warehouse. At the same time of optimizing the working efficiency and balance of the stacker, consider the min-path principle and the first come first go principle. By increasing the in and our warehouse guideline such as working priority, when the in and our warehouse plan is receiving, the tobacco packages in and out warehouse list is created, in the condition of considering the factors such as the ware-location situation of the automated warehouse, optimization of the total working time of the stacker and the working balance between the stackers. By the optimization method, the standard deviation between each stacker is reduced and the working conditions of the stackers are more balance. Study the working efficiency of the stackers and put forward the way to improve the stacker efficiency by the real condition of the warehouse. Decrease the whole and single working time of the stackers, and increase the working efficiency of the automated warehouse.Study the composition, wording principle and working position characteristic of the AGV transportation system in the warehouse. Put forward the computation method of the warehouse in and out efficiency when using the AGV system. Describe the scheduling problem of the AGV system and put forward the feasible AGV system scheduling model. Save the problem of building the AGV system scheduling model by genetic algorithm. Explain the designing of the algorithm process, the creating of the algorithm coding and the operation of the algorithm in the process using genetic algorithm. Describe some kinds of problems appearing in the AGV transportation system of tobacco leaf warehouse comprehensively, and build a scheduling model which could reflect the working condition in the true. Analysis the scheduling and optimization algorithm differences between the single AGV and the Multi-AGVs. Supply the theory principle to the tobacco enterprise to use or improve the automated warehouse.Imitate TRMB-AS/RS basing on the eM-Plant imitation software. Basing on the optimizing design of the tobacco raw material in and out the warehouse, the optimizing design of the stackers in the warehouse and the optimizing design of the AGV automated transportation system, build up the integrated imitation model of tobacco leaf raw material automated warehouse. In the imitating environment, the potential accidents and the part needed improved, which may appear in the warehouse, are estimated in detail. The design and the collocation of the warehouse are improved again and again in the eM-Plant software, by which the imitating design of the automated warehouse comes true. Put forward the dynamic characteristics modeling method of the TRMB-AS/RS. Create the designing steps of the TRMB-AS/RS from imitation physics modeling to the imitation dynamic characteristic modeling. Study the imitating operation strategy and the promoting method of the imitation clock of the TRMB-AS/RS. Put forward the imitation model example of the TRMB-AS/RS basing on the eM-Plant. Support the theoretical basis for the designing and building of the automated warehouse of the tobacco enterprise.