Research On Efficiency Optimization Of Multi-storey Shuttle Dense Storage System

In recent years,new intelligent storage systems emerge in an endless stream,and the dense storage system of multi-layer shuttle cars has attracted wide attention because of its high flexibility,so it is of substantial significance to study the efficiency optimization.This paper introduces the composition of multi-layer shuttle car intensive storage system,establishes the average throughput time model of the system to analyze the influencing factors of efficiency,and finds that the bottleneck affecting the overall efficiency lies in the entrance and exit of the warehouse.Then,it puts forward that the system uses elevator two-way car instead of chain machine at the entrance and exit of the warehouse,and uses Anylogic modeling and simulation to verify the efficiency of the two equipment modes in different situations.It is concluded that the higher the system floors,the better the efficiency of using elevator two-way car than elevator chain machine.On this basis,a multi-objective optimization function is established to allocate resources,which provides a theory for selecting schemes in the initial stage of warehouse construction.Firstly,this paper summarizes the present situation and development of the four-way multi-layer shuttle bus intensive storage system at home and abroad,and analyzes the advantages and development trends of the storage system.With the characteristics of high flexibility,easy operation,manual removal and high robustness,it has attracted more and more attention and become the hottest development direction at present.Then,the system composition of the storage system is studied,and the software and hardware of the system and the operation process of the system are described.According to the basic process of the system,the average service time of the system is studied by task delivery,and a semi-open loop queuing network model is established to analyze the factors affecting the system efficiency.Next,on the basis of theoretical analysis,it focuses on solving the efficiency problem of using hoist two-way car instead of hoist chain machine at the entrance and exit,using Anylogic modeling simulation to analyze and verify an example,and it is concluded that the efficiency of hoist two-way car entering and leaving the warehouse is indeed higher than that of hoist with chain machine when the number of storeys is higher.Combined with the previous research on the workflow of the four-way shuttle car storage system,the warehousing link is the bottleneck of its system efficiency.This optimization direction directly optimizes the efficiency of the bottleneck of workflow,which directly improves the efficiency of the system.Finally,considering the actual situation,the factors of throughput time,investment cost and operation cost should be taken into account in the configuration of dense warehousing system.On the basis of simulation experiments,the models of enterprise investment cost and operation cost and the average throughput time of warehousing system are established,and a multi-objective optimization model is established with the minimum total cost of enterprise warehousing investment and operation energy consumption and the shortest throughput time as the objectives.Through an example,the genetic algorithm is used to optimize the multi-objective function of the model,and the optimal configuration scheme is obtained,which provides decision-making basis for rational planning of the warehousing system.