Modeling And Optimization Of Automated Replenishment System In High-speed Picking Line

With the industrial structure adjusting and cost of labor rising, the process of automation construction of Logistics system speeds up. The market of logistics automation picking equipment increases by20%in2012.The automation picking equipment have the higher speed and accuracy. It could be used in pharmaceutical, tobacco, food, automotive and other industries especially.Automation replenishment system makes sure that there is enough goods in the automation picking systems. It is a prerequisite to the high efficiency in the system. But the system is often configured as a matter of experience in the designing and promoting course for the automation sorting system. The system is not optimized according to the real sorting condition and quantitative analysis based on items assignments. There is no theoretical basis and measure in this procedure. It is meaningful to build a measure to judge the replenishment index by quantitative method in the designing and promoting automation replenishment system.This paper builds a automatic replenishment model by using the queuing theory. We find three replenishment indexes:max replenishment quantity, average replenishment time, waiting quantity, and the numerical relationship between variables and indexes. This model could provide basis for system configuration. At same time, we analyze the numerical relationship. This model could enhance the sorting replenishment efficiency at the condition that the prime cost is constant. The thesis validates two frequently-used replenishment modes by building model and doing the simulation. It offer solutions to blocking problem at the motion procedure caused by sorting fault in the preparing goods system.The modeling and optimization of replenishment:Firstly, we test the procedure of replenishment order arriving and replenishment service time by using the Chi square distribution model. The result is that they are similar to the Poisson distribution and exponential distribution. We see the procedure as a M/G/1queuing system. We analyze three replenishment indexes from the sorting service time. Secondly, the paper optimizes the items distributing by using genetic algorithm aiming at the average replenishment period. Lastly, we test the applicability and validity of the model by simulation. This paper enhances the efficiency of replenishment by7.2%. At the same time, it also analyzes the numerical system between the primary indexes.Modeling and simulation of annular replenishment:Firstly, the procedure is seen as a M/D/c queuing system. We also set three key indexes for the service time. Secondly, we make simulation for the model. The result is the model could calculate the parameter of the annular replenishment and provide basis for the optimization of automation. Lastly, we make comparison and analysis between the two replenishment mode in the respect of space efficiency cost and scalability.The paper solves the sorting choking problem caused by accident of one sorting line by setting fault buffer length. It could make sure normal sorting condition. It could also realize the calculation of fault buffer length by using the dichotomy algorithm. The thesis could calculate the fault buffer length by analyzing the regular pattern presented by picking goods number and sorting efficiency according to space, equipment cost, and service quality. The simulation indicates that result saves by5%compared with the constant length at service time.