Collaborative Optimization Research On Assembly Line Balancing And Material Supermarket Planning

The emergence and development of industry 4.0 makes the competition among enterprises more intense.In order to better adapt to the market,enterprises must regulate their production activities reasonably.For manufacturing enterprises,assembly is the core activity,which directly affects the time,cost and other resources.Therefore,the effective planning of assembly line system is an effective way to enhance the competitiveness of enterprises,which has a certain application value in actual production.The planning and design of assembly line system is mainly divided into two aspects,one is the assembly line balancing,the other is the planning of material supermarket.Considering the relationship between these two aspects,this paper studies the collaborative optimization of assembly line system planning from the overall point of view,in order to achieve the effect of reducing logistics cost.First of all,it introduces the research background of assembly line balance and material supermarket planning,research status at home and abroad,and related theoretical methods,which paves the way for the later research.Then,according to the problem description and relevant assumptions,the improved two-stage model and collaborative optimization model of assembly line balance and material supermarket planning are constructed,aiming to find the optimal material supermarket planning and balance the assembly line at the same time.The optimization objective is to minimize the sum of the construction cost and the weighted transportation cost of material supermarket,so as to obtain the optimal construction quantity,distribution scheme and the number of workstations required and the allocation scheme of each process.At the same time,sensitivity analysis was carried out under different supermarket capacity and production beat.The feasibility and validity of the mathematical model are verified by the analysis of an example.Secondly,considering the continuity and complexity of the actual production,in order to solve the large-scale problem,this paper selects the genetic algorithm to solve the problem.Aiming at the shortcomings of the traditional genetic algorithm,the corresponding improved genetic algorithm is designed,the coding method of the problem and the initialization process of the population are innovated,and a new algorithm flow is constructed.At the same time,constraint judgment rules are added to the mutation process of the improved genetic algorithm,which not only improves the diversity of chromosomes,but also ensures the feasibility of operators.Through the analysis of a large number of standard examples,the algorithm can obtain a satisfactory solution in a short time,which reflects the effectiveness of the proposed improved genetic algorithm.Finally,combined with the layout and production situation of the general assembly workshop of company A,the assembly line balancing problem and the material supermarket planning problem are studied.Through the actual situation of the assembly line of the company,a group of calculation examples are designed,and the modeling and solution are carried out.The assembly line system scheme of the general assembly workshop of company A is obtained,and the optimal number of workstations and material supermarkets,as well as the allocation scheme of workstations and processes are given.Compared with the traditional two-stage method,it is proved that the advantage of collaborative optimization can effectively reduce the overall production cost,thus improving the efficiency and quality of the assembly line system,which is more suitable for the production layout planning of company A.