Study Of Some Key Technologies Of Automated Storage And Retrieval System And Its Simulation

Automated Storage and Retrieval System (AS/RS) has become a sign of enterpriseproduction automation and management information. The design, optimization and simulation of AS/RS has become a key in modern logistics technologies. This thesis analyzed the facilities planning and design of AS/RS firstly. Then, this thesis studied the optimal cells distribution strategies and the storage and retrieval path optimization of Storage and Retrieval Vehicle (RGV). Finally, this thesis studied the simulation of AS/RS on the basis of Flexsim simulation software. The main content of this thesis is as following:In Chapter 1, the concepts, components, function and characteristics of AS/RS are introduced. Then, the development course of AS/RS in home and abroad is reviewed and the development trend of AS/RS is prospected. In addition, the research areas of AS/RS and logistics simulation are discussed. Finally, the main contents and structure of this thesis are given.In Chapter 2, the principles, process and the main work of AS/RS deign are analyzed. Then the model of getting the optimal length and height of AS/RS racks, designing the cells and display planning are studied. Finally, an example of how to design an AS/RS for depositing machine is given to demonstrate the method and process of AS/RS design.In Chapter 3, the normal cargo storage patterns and the cells distribution principles in AS/RS are discussed. Then, the mathematic model of cells distribution in AS/RS is founded based on the cells distribution principles. This mathematic model is solved by means of Genetic Algorithms (GA). Finally, an example is studied to demonstrate the validity and feasibility of the presented methodology.In Chapter 4, the storage and retrieval time of RGV is analyzed and the mathematics path optimization model is founded based on the analysis. This model is solved by means of GA. And the coding and decode method, population initialization method and genetics operators are especially designed for this model. Finally, an example is given to demonstrate the validity and feasibility of this methodology.In Chapter 5, the basic concepts and process of logistics simulation and the Flexsim simulation technology are introduced. Then, based on the AS/RS design and optimization theory studied in last chapters, dynamic simulation models of AS/RS are built by means of Flexsim simulation software. This simulation model is used to study the running conditions of AS/RS. By observing the running conditions of the model and analyzing the simulation results, the validity and feasibility of the AS/RS design is demonstrated.In Chapter 6, the review and conclusions of this thesis are summarized and the future research work is sketched out.