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Unmanned delivery warehouse carrying shelf space planning method based on distribution estimation algorithm

A distribution estimation algorithm and space planning technology, applied in computing, combustion engines, internal combustion piston engines, etc., can solve problems such as low efficiency and difficulty in picking products

Active Publication Date: 2021-01-08
TONGJI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] A large number and variety of products are stored in boxes and densely stacked in the delivery warehouse. It is very difficult and inefficient to rely on staff to walk around to pick products

Method used

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  • Unmanned delivery warehouse carrying shelf space planning method based on distribution estimation algorithm
  • Unmanned delivery warehouse carrying shelf space planning method based on distribution estimation algorithm
  • Unmanned delivery warehouse carrying shelf space planning method based on distribution estimation algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0092] according to figure 1 The shelf space model shown and the data listed in Table 1 measure the relevant dimensions and specification information of the actual shipping shelf, according to figure 2 The product model shown and the data listed in Table 2 divide all types of products in the warehouse to determine whether their shapes are regular, and measure information such as length, width and height of regular products and the density of irregular products. Organize the order information according to the data listed in Table 3. After inputting all relevant information into the program, the density information of irregular commodities is converted into equivalent length, width and height information according to the formula.

[0093] Table 1 Input data information of shelf space model

[0094]

[0095] Table 2 Commodity model input data information

[0096]

[0097]

[0098] Table 3 data collation order information

[0099]

[0100] Run the algorithm progra...

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PUM

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Abstract

The invention relates to an unmanned delivery warehouse carrier shelf space planning method based on a distribution estimation algorithm. The method comprises the following steps: 1) establishing a carrier shelf space model; 2) establishing two types of commodity models with different appearances; 3) establishing a shelf space planning optimization problem equation by taking maximization of meeting order data requirements as an optimization target and taking a placement rule which can completely describe that commodities need to meet on a shelf as a constraint condition; and 4) performing solving by adopting a distribution estimation algorithm, and finally obtaining an optimal planning scheme. Compared with the prior art, the method has the advantages that the efficiency is improved, resources are saved, the solving speed is high, the practicability is high, and the expansibility is high.

Description

technical field [0001] The invention relates to the field of space planning of storage and delivery shelves, in particular to a space planning method for unmanned delivery warehouse delivery shelves based on a distribution estimation algorithm. Background technique [0002] The construction of intelligent warehousing is an important part of the development of modern logistics industry. Its concept is to use automation equipment and intelligent management methods to establish a more efficient, flexible and accurate warehousing system to meet the diversified and personalized needs of consumers. change. The main task undertaken by the unmanned delivery warehouse is to sort out a wide variety of goods in the warehouse in the correct type and quantity according to the order content issued by the customer under the condition of a small number of staff assisting and a variety of automated equipment working together. Then put them into cartons, pack and seal them, and finally deliv...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/08G06Q50/28
CPCG06Q10/04G06Q10/087G06Q10/08Y02T10/40
Inventor 林国义张逸雯李莉
Owner TONGJI UNIV