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Research On Modeling And Optimizing Of Logistics System Of Die Forging Production Line Based On Flexsim

Posted on:2021-11-08Degree:MasterType:Thesis
Country:ChinaCandidate:H C ShenFull Text:PDF
GTID:2481306470467504Subject:Mechanical engineering
Abstract/Summary:PDF Full Text Request
With the rapid development of China's manufacturing industry,more and more attention has been paid to the research of production logistics systems.Through scientific and reasonable methods,production logistics can be gradually optimized to achieve optimal production and reasonable allocation of production resources,thereby improving the production efficiency and benefits of enterprises.At present,in the process of die forging,there are problems such as long production cycles,low equipment utilization,and chaotic scheduling of production materials.Therefore,industrial engineering theory,genetic algorithms and computer modeling and simulation technology are applied to study the logistics scheduling and dynamics of the production logistics system.The production process and mining of bottlenecks in the system are of great practical significance for optimizing the production logistics system,shortening the product manufacturing cycle,improving equipment utilization and production efficiency.Aiming at the problems faced by domestic die forging ring production lines,a simulation method for the optimization of die forging production line logistics based on Flexsim was proposed,and the logistics of die forging ring production lines was studied.First of all,the production and processing technology route of the die forging ring production line is analyzed,the die forging production process is combed,and the logistics characteristics of the production line,as well as the parallel processing steps and cyclic processing steps in the production process are explained.The three phases of the system modeling.Secondly,a mathematical model of production line logistics is established,with minimized completion time as the objective function,and an improved genetic algorithm based on the optimization of production logistics scheduling is optimized.Then,the two-dimensional Petri net model was transformed into an intuitive three-dimensional Flexsim model for simulation optimization research.By setting reasonable parameters for the parallel processing steps and cyclic processing steps in the die forging production line and performing simulation,the blocking rate,Idle rate,work proportion,to-be-occupied proportion,etc.,and then analyze the reasons that lead to long production cycles and equipment utilization rate by logical analysis,and use methods such as increasing processing equipment,improving equipment efficiency,and balancing equipment handling tasks to optimize and improve the production line.The original model and the optimized model are compared and analyzed.The final optimization results show that the optimized production line equipment task allocation tends to be rationalized,the equipment utilization rate is increased,and the product cycle is shortened.This solution realizes the optimized design of the forging production line and verifies the feasibility of the application of the optimization scheme.
Keywords/Search Tags:Production logistics, Petri net modeling, genetic algorithm, Flexsim simulation
PDF Full Text Request
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