Research On Buffer Allocation In Exponential Serial Production Line

Production system is a hot research field and an important branch of production engineering in contemporary engineering research.Its purpose is to explore the basic properties and operation rules of the production system composed of machines and material storage and transportation equipment,and then use these properties and rules to conduct a more accurate and rigorous performance analysis of the actual production system.And for the requirements of continuous improvement and lean design.Accurate performance evaluation methods and effective continuous improvement methods are very important to improve the performance and management level of production systems.Under this background,this paper describes the problem of buffer capacity allocation in exponential serial production lines.Aiming at maximizing the throughput rate of production system,genetic algorithm is designed to solve the optimal strategy of the buffer capacity allocation.First of all,by establishing the basic mathematical model of the machine and buffer in the synchronous exponential two-machine production system,this paper expounded it in detail,defined the indicators of the production system under steady state,and gave a simple description of the process of performance analysis of the production system under the condition of buffer capacity change.Secondly,for multiple machines,an efficient recursive algorithm based on aggregation was used to establish a synchronous exponential multi-machines serial production system model,deduce its parameters,and analyze its system performance.Thirdly,there’re different machine processing cycles in the production system,that is,asynchronous machine.Following the assumption of synchronous exponential serial production system,the system state was still defined by the concentrated probability and distributed probability of synchronous exponential production line.The asynchronous exponential serial production line model was established,the performance indicators under asynchronous condition was deduced,the system analysis of buffer capacity change was carried out,and the accuracy of the model estimation was introduced.Finally,a genetic algorithm was designed to solve the optimal strategy of buffer capacity allocation with the goal of maximizing the throughput of production system.A case of a mechanical processing plant was used to verify the results,and the calculation results showed that the buffer allocation strategy generated by this method can improve the system throughput by 6.13%.