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A method and device for predicting article picking duration

A technology for time selection and item selection, which is applied in the field of item selection time prediction, which can solve the problem of insufficient characteristic information of the selection time, and achieve the effects of reducing error rate, reducing workload, and improving accuracy

Pending Publication Date: 2020-03-24
BEIJING JINGDONG QIANSHITECHNOLOGY CO LTD
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Problems solved by technology

[0005] In view of this, the embodiment of the present invention provides a method and device for predicting the duration of item picking, which overcomes the serious shortage of feature information affecting the duration of object picking, and determines the prediction model of picking duration, which not only improves the accuracy of prediction , reduce the error rate, and reduce the workload in logistics simulation

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  • A method and device for predicting article picking duration
  • A method and device for predicting article picking duration
  • A method and device for predicting article picking duration

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Embodiment Construction

[0055] Exemplary embodiments of the present invention are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present invention to facilitate understanding, and they should be regarded as exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the invention. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.

[0056] figure 1is a schematic diagram of the main flow of the method for predicting the duration of item picking according to an embodiment of the present invention, such as figure 1 As shown, the method for predicting the duration of item picking in the embodiment of the present invention mainly includes:

[0057] Step S101: Obtain feature data and historical selection ...

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Abstract

The invention discloses a method and device for predicting article sorting duration, and relates to the field of logistics storage. A specific embodiment of the method comprises the steps of obtainingfeature data and historical sorting duration of a sample object; determining a kernel matrix based on a preset kernel function and the feature data of the sample object; and determining a selection duration prediction model according to the historical selection duration of the sample object and the kernel matrix. According to the method, the problem that the feature information influencing the object sorting duration is seriously insufficient is solved, the sorting duration prediction model is determined, the prediction accuracy is improved, the error rate is reduced, and the workload in logistics simulation is reduced.

Description

technical field [0001] The invention relates to the field of logistics warehousing, in particular to a method and device for predicting the duration of item picking. Background technique [0002] Picking operations are an important part of warehousing operations, and the timeliness of picking operations will directly affect the timeliness of outbound and inbound operations. Therefore, in the simulation of logistics, it is necessary to predict the picking time based on the relevant information of the goods, that is, it is necessary to know that during the picking process of the goods, from the time when the picker sees the screen picking command device to when the picker finishes picking the last item of the same kind of goods The time period after scanning the grid. [0003] For logistics simulation, it is first necessary to determine the picking duration of each commodity, and then input the picking duration and corresponding commodities into the logistics simulation syste...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/08G06F16/2458
CPCG06Q10/04G06Q10/087
Inventor 范超
Owner BEIJING JINGDONG QIANSHITECHNOLOGY CO LTD
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