Goods location allocating method applied to automatic warehousing system of multi-layer shuttle vehicle

A technology of cargo space allocation and warehousing system, applied in the field of logistics, can solve the problems of inability to adapt to the automatic storage system of multi-storey shuttle vehicles, etc., and achieve the effect of improving the utilization rate of cargo spaces and the efficiency of entry and exit operations.

Inactive Publication Date: 2014-08-06
SHANDONG UNIV
View PDF4 Cites 41 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, because the multi-storey shuttle car automatic storage system has the characteristics of parallel pick-up and serial out-of-warehouse, it has changed the operation mode of the traditional auto

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Goods location allocating method applied to automatic warehousing system of multi-layer shuttle vehicle
  • Goods location allocating method applied to automatic warehousing system of multi-layer shuttle vehicle
  • Goods location allocating method applied to automatic warehousing system of multi-layer shuttle vehicle

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0035] The technical solution of the invention includes the following methods:

[0036] 1. By storing the cargo location information, lane information, and shuttle configuration data in the storage environment into the database, the warehouse layout data points are generated;

[0037] 2. Both elevators and shuttles are regarded as service agencies, and outbound tasks are regarded as customers, and a non-product queuing network (such as image 3 shown) model and solve it;

[0038] 3. According to the correlation between the outgoing goods, establish the correlation matrix between the items, use the ant colony clustering algorithm to solve the item clustering, and obtain the number and shape of the partitions;

[0039] 4. In a two-dimensional plane (single-row shelf), the storage areas are arranged and combined according to certain principles, and the storage positions in the storage area are randomly stored, so as to solve the problem of dynamic allocation and optimization of ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a goods location allocating method applied to an automatic warehousing system of a multi-layer shuttle vehicle. The method comprises the following steps: firstly, according to the quantities of goods shelves and tunnels, generating plane layout structure data of the system; then analyzing the waiting time of the shuttle vehicle executing an outbound task as well as the idle time of a hoister; establishing an open queuing network model for describing the system; analyzing the relationship among the waiting time of the shuttle vehicle, the idle time of the hoister and the time of inbound and outbound works by a decomposition process; determining that the higher the reaching rate of a task serviced by the shuttle vehicle is, the lower the goods location of the task is, and the goods with highest correlation are allocated at different layers, so that multiple shuttle vehicles can provide service simultaneously; finally putting forward a principle of dividing storage zones in light of item correlation, establishing a correlation matrix of outbound items, clustering the items by an ant colony algorithm, and combining and arranging the storage zones in a two-dimensional plane according to the analysis result of the queuing network model, thereby realizing the allocation of goods location. By the method, the waiting time of the shuttle vehicle and the idle time of the hoister can be effectively shortened, so that the rate of equipment utilization and the throughput capacity of a distribution center are increased.

Description

technical field [0001] The invention relates to the technical field of logistics, in particular to a method for dynamic cargo location allocation of an automatic storage system for multi-layer shuttle vehicles. Background technique [0002] Most of the location allocation methods of traditional automated three-dimensional warehouses are based on random storage, positioning storage, and classified storage strategies. In order to reduce the travel time of the stacker to complete the entry and exit of goods, the goods with high frequency of entry and exit should be placed outside the I / O In order to increase the stability of the cargo in the cargo space near the platform, the heavy cargo should be placed on the lower floor. However, because the multi-storey shuttle car automatic storage system has the characteristics of parallel pick-up and serial out-of-warehouse, it changes the operation mode of the traditional automated three-dimensional warehouse, making the goods distribut...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06Q10/08G06Q50/28
Inventor 王艳艳牟善栋赵晓峰吴莎莎刘德宝
Owner SHANDONG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products