Simulation Modeling And Optimization Reserch On Bumper Production-manufacturing Based On Anylogic

Buffer allocation problem(BAP)and Assembly Line Sequencing(ALS)are important problems in the optimization of production logistics.The sensitivity analysis method has not been used to study the BAP problem and there is little research on maximization of output and minimum total buffer capacity.Most studies on ALS have not considered the buffer area.Furthermore,the research results of current bumper production are not yet visible.The research content of current bumper production is mainly about material design and process plan while traditional layout planning and scheduling optimization cycle are long and lack of flexibility.With the rapid development and application of AnyLogic simulation technology,it provides an important way to solve the above problems.Firstly,it defines the research object,analyzes its personality characteristics and characteristics.Secondly,by using process modeling method to construct the CAP simulation model,developing programming language and using Agent technology to build ALS simulation model,it realizes the simulation model with bumper production-manufacturing characteristics and verifie its effectiveness.Thirdly,the minimum total capacity is introduced into the general BAP model and a CAP model with a certain capacity variation range under the total space limit is built.Fourthly,the sensitivity analysis optimization algorithm is developed and designed to provide theoretical support for subsequent application research.Fifthly,based on the analysis of the sensitivity degree of 14 capacity parameters by controlling variable method,it is applied to solve the CAP problem by maximizing the output and minimizing the total capacity.Then,based on the analysis of the sensitivity degree of 14 capacity parameters,it is applied to solve CAP by maximizing the output and minimizing the total capacity.Furthermore,the ALS model is built with considering the buffer.Finally,the MPS optimization algorithm is used to solve the ALS with minimum completion time and compared with the former.Considering the complementary relationship between queuing time and processing time,the complementary algorithm is developed to solve the ALS problem,and its feasibility and effectiveness is verified.Four conclusions are drawn.Firstly,the yield is most sensitive to the bottleneck capacity and positively correlated with the capacity of individual buffer capacity,but there is an upper limit.When the bottleneck and the non-bottleneck capacity are optimal,the output is the largest,the total capacity is the smallest.The minimum capacity scheme is Q*={6,10,4 4,5,12,5} and the output increases by 22.0%,the layout cost is reduced by 12.2% compared with before optimization.Secondly,the system output of the best sequence BBCAC increased by 2.93,the average equipment utilization ratio improved by 7.82% and the average retention time was reduced by 3.05% before optimization that some aspects indexes of bumper production logistics system has been improved.Thirdly,the completion time of the optimal sequence decreases firstly and then increases with increasing the proportion of a certain species.With the change of processing time,the change of the optimal sequence presents a certain stage.That is,the optimal sequence is a certain continuous value in the fluctuation of processing time.Finally,the optimal production sequence ABC is solved by the complementary algorithm,which effectively reduces the completion time by 4% before optimization.It improves the operation efficiency of the production logistics system.