Intelligent Material Preparation Center Production Line Scheduling And Distribution Simulation Optimization

In the context of Industry 4.0,the production management of the intelligent manufacturing workshop is of paramount importance,and ensuring the efficient and orderly operation of each link of the production line is the core of production management.The scientific and reasonable production scheduling strategy can ensure the efficient and orderly operation of the production line under the condition of limited resources.This paper mainly uses Plant Simulation software to carry out mathematical modeling and simulation of the production system of the center,and uses genetic algorithm to optimize its production scheduling and material distribution.The main research contents of this paper are as follows:First,establish the production line model of the intelligent material preparation center based on the coupling of functional modules.Field investigation of the center’s production workshop,obtaining actual production data such as the center’s production process route,equipment layout,and equipment scheduling strategy,and establishing a simulation model of workshop function coupling between various production links of the intelligent material preparation center according to the idea of functional partitioning and modularization,and importing The actual production data of the workshop,the complete simulation of the production process of the center.Secondly,analyze the production line of the preparation center based on different influencing factors.Analyze the result data of the workshop function coupling simulation model under different influencing factors,summarize and analyze the weak links that restrict the center’s production efficiency,and adjust the model parameters by analyzing and testing different influencing factors and corresponding result data in the production process.Summarize the influence laws of different factors,and lay a data and theoretical basis for subsequent optimization.Third,study the multi-objective optimization problem of the production line scheduling strategy of the intelligent material preparation center.Aiming at the total output and the number of palletizing line switching times,optimize the production line scheduling strategy of the intelligent material preparation center,use genetic algorithms to solve the palletizing line switching strategy and buffer capacity,and determine the corresponding optimal configuration parameters.After the optimization,the total output increased and the production cost decreased.Effective verification of the palletizing line switching strategy and the buffer capacity optimization program can reasonably and effectively improve the production line scheduling.Finally,the coordination and optimization of AGV berth assignment and bin allocation based on material distribution are studied.The interaction between AGV berth assignment,driving distance and bin allocation in the process of distributing materials is analyzed.Taking the limited resources of the calling center and increasing the production capacity as the goal,the positions of the berths and bins allocated in the empty bin temporary storage area and the centralized buffer area are the decision variables,and the AGV berth assignment and bin allocation integer nonlinear model is established,and adaptive Solve by genetic algorithm.Comparing Plant Simulation’s built-in genetic algorithm and adaptive genetic algorithm,the optimization result of the latter improves the efficiency of material distribution operations in the preparation center compared with the former,and provides key technologies for the coordination and optimization of AGV berth assignment and bin allocation.