| Assembly is a common process in manufacturing and production.At present,the production mode of assembly line is mostly adopted.The balance optimization and simulation of assembly line,and establish information management system can effectively improve the production efficiency,balance rate and management efficiency of assembly line,reduce the waste of resources,and then improve the efficiency and competitiveness of enterprises.To this end,consulting a large number of data,understanding the research status at home and abroad,and doing the following research work:(1)The optimization model of assembly line balance is constructed.Firstly,according to the characteristics of workers' assignment in assembly line,the principle and purpose of allocation are defined,and a method of workers' assignment is put forward,which takes learning time as benefit matrix,and takes the minimum learning time of chemical workers as the goal,and adopts Hungarian algorithm to solve it.Then,a single-objective optimization model with cycle time and smoothing index as comprehensive optimization objectives,process allocation principle and cycle time as constraints,and a multi-objective optimization model with cycle time,smoothing index and workers' learning time as optimization objectives and process allocation principle,cycle time and workers' allocation principle as constraints are established.(2)To solve the established multi-objective optimization model,a multi-objective whale optimization algorithm is designed.Firstly,the whale optimization algorithm is proposed to solve the assembly line balancing problem.Based on the established single objective optimization model,the classical cases are solved by comparing with genetic algorithm and particle swarm optimization algorithm,and the effectiveness of whale optimization algorithm in solving the assembly line balancing problem is verified.Then,the details of the multi-objective whale optimization algorithm are designed,including the weight-based whale position coding and decoding method,the pareto solution set updating mechanism based on whale population hierarchy division,congestion ranking and deletion of some duplicate solutions,and the first whale selection method.Finally,compared with the non-dominated sorting genetic algorithm and the multi-objective particle swarm optimization algorithm,the results show that the performance and distribution of the solution set obtained by the multi-objective whale optimization algorithm are better.(3)According to the connector assembly line example,based on the multiobjective optimization model considering worker assignment,the multi-objective whale optimization algorithm is adopted to solve the problem,and various assembly production schemes are obtained.The results show that all the objectives are effectively optimized.One of the schemes is simulated and verified by Plant Simulation,and the results show that the busy rate of most stations is over 80%,and the optimization effect is good.(4)Based on B/S architecture,the assembly line information management system is designed,including application architecture,functional architecture and database design.The whole system is divided into four modules: user login and logout,user information management,assembly line management and balance optimization,and personal information management.According to the characteristics of the assembly line,the entities required by the database,the attributes of the entities and the relationships among the entities are defined,and the corresponding My SQL database tables are designed.(5)Based on Java Web technology,the assembly line information management system is realized.The program flow of each module is designed,the module functions are realized by layered and interface-oriented coding,and some interfaces are displayed.The balance optimization function is realized by Java and Matlab.Taking the multi-objective balance optimization of connector assembly line as an example,the realization process is expounded. |
PDF Full Text Request