Logistics center storage position allocation method

A distribution method and technology of a logistics center, applied in the field of logistics, can solve the problems of reduced equipment utilization, low operation efficiency, high no-load rate and half-load rate of conveying equipment, and achieves improved operation efficiency, reduced operation time, and fewer parking times. Effect

Inactive Publication Date: 2017-05-24
北京远大宏略科技股份有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, there are still common problems in domestic large-scale storage systems such as automation, low intelligence, and low operating efficiency. Specifically, the main problems that are common in large-scale storage systems and need to be solved urgently are:
[0004] (l) Lack of optimal control over location allocation: at present, random storage is still mainly carried out according to the order of goods entering the warehouse and according to the partitioning of suppliers, thus increasing the time required for outbound storage
[0005] (2) The warehousing and warehousing task sequences generated by automatic or manual methods are basically in chronological order, lacking optimal control over the task sequence
Due to the lack of scheduling of task sequences, most of the storage / retrieval machines (SRMs) have a single task cycle, and the no-load rate and half-load rate of the conveying equipment are relatively high, thus prolonging the out-of-warehouse cycle and reducing the equipment cost. Utilization

Method used

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  • Logistics center storage position allocation method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0083] Assume that the picking form of the warehouse pickers in the lane is as follows: figure 2 As shown, the distance from the entrance to the first storage space is one unit, and the distance between different storage positions is also one unit. The black dot in the figure indicates the point where picking stops. At this point, two lanes can be picked. side shelves, regardless of distance. Table 1 gives 10 orders, and the types and quantities of goods required in the orders are randomly generated.

[0084] Table 1 Order Details

[0085]

[0086] For example, in order A, there are 4 kinds of goods that are goods (1, 2, 3, 4), and the corresponding goods quantities are 5, 4, 3, and 2 respectively. The total number in the table refers to the total quantity of goods 1 contained in 10 orders; the number of times indicates the number of times goods 1 appears in 10 orders; the number of goods in an order refers to the number of goods picked in each order; contains The type ...

Embodiment 2

[0110] Statistical analysis of company A's order information in the year, sort the order quantity from large to small, and select the top 25 orders, as shown in Table 6, each order contains goods with a quantity between 5 and 11, and all orders Contains 20 types of goods.

[0111] Table 6 Order Details

[0112]

[0113] For this case, the idea of ​​clustering is combined with the model for algorithm design, and finally fine-tuning is carried out on the basis of the results. The final results are shown in Table 7.

[0114] Tab.2-8 Result of Clustering

[0115]

[0116] According to the classification results, it was found that:

[0117](1) The results of dividing 20 kinds of goods into 1 category and 20 categories are the same. The reason is that the allocation of cargo space is carried out according to the order frequency;

[0118] (2) The total picking distance from category 1 to category 4 increases gradually, because the order frequency of goods 4 and 6 is relative...

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Abstract

The invention relates to the technical field of logistics, particularly to a logistics center storage position allocation method. The method comprises the following optimization steps: calculating goods correlation; clustering and analyzing goods; allocating clustered goods to storage areas; allocating goods to specific goods positions and finely adjusting the storage of special goods according to the characteristics of the goods. The method reduces the operating time for a warehouse and improves the operating efficiency of the shelf-type warehouse without increasing equipment investment, by optimizing a logistics center storage position allocation management system, using the shelf-type warehouse center as a research object, optimizing the goods position allocation of the warehouse and beginning with optimization management and dispatching of the warehouse.

Description

technical field [0001] The invention relates to the technical field of logistics, in particular to a method for allocating storage positions in a logistics center. Background technique [0002] In recent years, with the vigorous development of e-commerce, the demand for logistics technology and storage capacity is also increasing. The level of logistics management of an enterprise directly affects the market competitiveness of the enterprise, and the efficiency of inbound and outbound warehouse management is one of the key links in logistics management. Traditional warehousing methods can no longer meet the needs of production and distribution, and three-dimensional warehouses have been used more and more. At present, many warehousing operation managements are still following the habit and experience of many years to place goods, which not only wastes storage space, but also makes the work efficiency of the warehouse low. Statistics show that in the entire logistics storag...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/08G06Q50/28
CPCG06Q10/087G06Q50/28
Inventor 贺卫张士才刘熙庆
Owner 北京远大宏略科技股份有限公司
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