Design Of Automatic Sorting Multi-layer Shuttle System And Order Allocation Optimization For Manufacturing B2C Mode

With the rapid development of Internet technology,computer technology and information technology,the manufacturing industry,which is the country industrial pillar,is also constantly changing with the wave of "Internet plus,"many face-to-face commercial products or specific user groups are slowly transitioning towards consumer-oriented products.At the cusp of traditional manufacturing B to C transformation,a series of issues relating to logistics have received increasing attention.Especially in the sorting process,the distribution of orders can maximize the efficiency.Moreover,with the disappearance of China's demographic dividend and the increase in labor costs,the traditional manufacturing industry's roads relying on manpower development have narrowed.At the same time,intelligent equipment represented by industrial robots has brought revolutionary industrial changes to traditional equipment manufacturing and logistics and other related industries.Therefore,how to choose an appropriate "Parts-to-picker" automatic sorting system in the manufacturing B to C transformation process,and in the sorting process,what order clustering and distribution strategies are used in order to optimize the efficiency,is the focus of this articleFirst of all,this paper introduces two kinds of "Parts-to-picker" automatic sorting system,and analyzes their advantages and disadvantages.Based on the characteristics of the manufacturing transformation process,the problems in the sorting process in the target case are analyzed and the final decision is made.Multi-shuttle can improve sorting efficiency and accuracy,reduce labor costs,save storage space,and has broad prospects for development.Therefore,the article chooses multi-shuttle sorting system as a hardware carrier,and discuss the characteristics of multi-shuttle systems.The design of hardware and software systems,as well as the outbound and outbound forms and the sorting process are introduced and the impacts of order strategies on the sorting efficiency of shuttles are analyzed.Second,the article simply introduces K-means theory.Then the order clustering and distribution system are modeled based on the K-means algorithm.Four order clustering and allocation strategy steps and their operation flow chart are also introduced.The four strategies are:Fixed K value and fixed distribution method,dynamic K value and fixed distribution method,fixed K value and dynamic distribution method,as well as dynamic K value and dynamic K allocation.Finally,this paper simulates the experimental data of these four simulation strategies and obtains the following three conclusions:1.The reduction rate from the inbound and outbound warehouses and the pro'bability of maximum number of orders to be sorted per station indicate that no matter how many stations are set,the sorting efficiency is ranked in descending order as follows:Strategy 4 Dynamic K-Value and Dynamic Allocation Method>Strategy 3 Fixed K value and dynamic allocation method>Strategy 2 Dynamic K value and fixed allocation method>Strategy 1 Fixed K value and fixed allocation method.2.When the same strategy is used for sorting,and the same number of stations is set,the greater the maximum number of orders to be sorted per station,the higher the reduction rate of entering and leaving the warehouse and the higher the representative sorting efficiency.3.When the same strategy is used for sorting,and the same maximum number of orders to be sorted per station,the greater station is set,the higher the reduction rate of the warehouse,the higher the representative sorting efficiency.