Research On Process Optimization Of N Company’s J Production Line Considering Material Balance

With the intensification of market competition,how manufacturing enterprises can enhance their competitiveness under existing resource constraints has become a key issue that urgently needs to be solved.Production line process optimization,as an important means for manufacturing enterprises to reduce costs and increase efficiency,and quickly respond to customer needs,is increasingly receiving attention from scholars and the industry.This article focuses on the current situation of delayed material supply and insufficient production capacity in the production of J products in N company.It systematically analyzes the bottleneck factors that restrict the production capacity improvement of J production line,and studies the effective path to optimize and improve the production line.This is of great significance for increasing the production capacity of J production line in N company and meeting customer needs.This article integrates and utilizes theories and methods such as value flow chart technology,constraint theory,lean management,queuing theory,optimization modeling,and Flexsim simulation to conduct research on the J production line problem of N company from the perspective of material balance and assembly process optimization.The main research content is as follows:(1)Analyze the current situation and existing problems of N company’s J production line.This article identifies the problems in the assembly process and material supply of J production line by drawing a value process diagram.(2)Apply constraint theory and lean management combination model to optimize the assembly process of the production line.According to the five steps of the model,the assembly process optimization was carried out for the three bottleneck workstations,resulting in a reduction in production cycles of 18 seconds,11 seconds,and 11 seconds,respectively.(3)Construct a material balance model based on queuing theory.On the basis of assembly process optimization,this article takes the number of AGVs as the decision variable,and minimizes the expected waiting time for material requirements at each workstation and the sum of the unit idle time of each AGV as the objective function.Based on queuing theory,an AGV material balance model is constructed,and the optimal value of the system is solved using MATLAB software.Research has found that the AGV configuration in the optimal state of the system cannot meet the target requirements and requires further local configuration optimization.Based on this,this article sets up four types of scenarios,and after calculation and verification,the optimal configuration is determined,which is to allocate three AGVs for material supply to stations 1 and 2.After optimization,the material waiting time for stations 1 and 2 has decreased from 15 seconds and 20 seconds to 2 seconds and 3seconds,respectively.(4)Use Flexsim simulation software to verify the rationality of the optimization plan.The simulation results show that the optimized production capacity of the J production line has reached 401 pieces/day,achieving the expected production capacity target,verifying the rationality of the optimization plan in this thesis.This thesis has 19 figures,21 tables,and 85 references.