Simulation Research On Tool Magazine Configuration Strategy Of Automation Unit

With the continuous requirements of the development of the times,our country is also constantly moving from "manufacturing power" to "creating power" and "manufacturing power".Especially with the current "Industry 4.0" proposed by Germany and "Made in China 2025" proposed by China,my country is also facing more severe challenges,but it is also an opportunity.The intelligent workshop is an important carrier to achieve these goals,so the research on the intelligent workshop is very important,and the research on the configuration strategy of the multi-level tool magazine in the intelligent workshop is a very critical part.In the intelligent workshop,various tools are required for the production and processing of tasks.However,due to the limited capacity of the tool magazines at all levels in the intelligent workshop,it is necessary to reasonably configure the multi-level tool magazines to reduce production costs and improve production efficiency.Based on these considerations,the main research contents of this thesis are as follows:First,the production process of an intelligent workshop is analyzed,and the configuration problem of the multi-level tool magazine in the intelligent workshop is analyzed and introduced in detail,and a mathematical model is constructed based on the analysis of this problem,and then a method to solve the problem is proposed based on the model.Secondly,based on the production environment in the intelligent workshop,the simulation model of the intelligent workshop is built on the simulation software Plant Simulation,and some parameters involved in the model are set.Based on the existing solution methods and the characteristics of this problem,the configuration problem of multi-level tool magazines in smart workshops is decomposed into two sub-problems: the configuration problem of multi-level tool magazines and the AGV scheduling problem.On this basis,a combined heuristic algorithm framework based on tool magazine configuration rules and AGV scheduling rules is constructed.Based on the analysis of this algorithm framework,different heuristic algorithms are proposed,and these heuristic algorithms are embedded in the simulation platform.Then,experiments are designed on the basis of the previously constructed simulation models,and generative examples are generated from these experiments.For different evaluation indicators and various influencing factors,simulation experiments are carried out based on the heuristic algorithms established based on different combination rules proposed above,and the simulation results under different heuristic algorithms are analyzed.The adaptive characteristics of the effects caused by the factors.Finally,based on the previous research results applied to actual production,it is transformed into a tool magazine configuration module and embedded in the tool management system to provide support for the production and processing decisions of the intelligent workshop.