Intelligent stored cargo space distribution and optimization method

A technology of cargo space allocation and intelligent warehousing, applied in instruments, data processing applications, forecasting, etc., can solve the problem of rarely considering the impact of cargo space allocation on the efficiency of stackers

Inactive Publication Date: 2014-07-23
JIANGSU R & D CENTER FOR INTERNET OF THINGS
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  • Abstract
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Problems solved by technology

[0003] In the traditional fixed storage mode, the location allocation method adopts the method of coding according to the physical address. During the design, more attention is paid to the location and storage capacity of the warehouse, and the location number area is arranged macroscopically, that is, the storage area is artificially divided according to the frequency of entering and leaving the warehouse. Divided into areas such as A, B, C, etc., but the location address number (related to the addressing mode of the stacker operation) is only determined according to the physical address of the location row or the stacking form of the material, and rarely considers the location The effect of distribution on the efficiency of stacker cranes

Method used

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  • Intelligent stored cargo space distribution and optimization method
  • Intelligent stored cargo space distribution and optimization method
  • Intelligent stored cargo space distribution and optimization method

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Embodiment Construction

[0058] The present invention will be further described below in conjunction with drawings and embodiments.

[0059] The present invention mainly comprises the following steps:

[0060] S1, count the frequency of goods entering and leaving the warehouse and the operating speed of the stacker, and build a mathematical model:

[0061] S11. When partitioning cargo locations, it is assumed that 1) the storage type of goods is known; 2) the quantity of each type of goods stored per unit time is known; 3) the access frequency of each type of goods is known.

[0062] S12, pre-partition: refers to the partition when no goods are stored, and only consider the speed of the stacker when partitioning. That is, if for some cargo locations, the time it takes for the stacker to transport the goods to any one of the batch of cargo locations is the same, then this batch of cargo locations is classified into one category.

[0063] S13, partition steps and mathematical model:

[0064] S131, se...

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Abstract

The invention discloses an intelligent stored cargo space distribution and optimization method. The method comprises the following steps that 1, the frequency of cargo to leave from storage or be put into storage and the running speed of a stacking machine are counted, and a mathematic model is built; 2, two solutions are provided for different scales and include the Hungarian method and the genetic algorithm. By the intelligent stored cargo space distribution and optimization method, the utilization rate of cargo space is improved, the efficiency of cargo to leave from storage or be put into storage and the utilization rate of the stacking machine and other equipment are also improved, and the box shift operation and other operations can be reduced.

Description

technical field [0001] The present invention is an intelligent loading optimization method, more specifically, the present invention is a cargo location allocation optimization method for an automated intelligent storage system. Background technique [0002] At present, the domestic storage mode can be summarized into the following two types: 1) Random storage mode: when materials are put into storage, the management system randomly assigns their corresponding storage addresses according to the statistics of the frequency of material entry and exit. The advantage of this mode is that it is easy to operate and fast in and out of the warehouse; the disadvantage is that it is not convenient for manual intervention. Once the management system fails, the entire warehouse operation may be completely paralyzed; 2) Fixed storage mode: when materials enter the warehouse, the storage address of the materials It is allocated by manual intervention, and there is a one-to-one corresponde...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/28
Inventor 熊浩
Owner JIANGSU R & D CENTER FOR INTERNET OF THINGS
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