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Zone collaborative optimization policy-based order processing method for automatic sorting system

An automatic sorting system and order processing technology, applied in data processing applications, instruments, commerce, etc., can solve the problems of high error rate, high labor intensity of workers, low efficiency of manual sorting, etc., to improve processing capacity and overcome efficiency. The effect of low, good application value

Inactive Publication Date: 2017-10-20
ZHEJIANG GONGSHANG UNIVERSITY
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Problems solved by technology

[0004] In order to overcome the shortcomings of low manual sorting efficiency, high labor intensity, and high error rate, the present invention provides an effective order processing method for automatic sorting systems based on partition collaborative optimization strategies;

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  • Zone collaborative optimization policy-based order processing method for automatic sorting system
  • Zone collaborative optimization policy-based order processing method for automatic sorting system
  • Zone collaborative optimization policy-based order processing method for automatic sorting system

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Embodiment Construction

[0021] The present invention will be further described below in conjunction with the drawings:

[0022] Reference figure 1 with figure 2 , The order processing method of automatic sorting system based on partition collaborative optimization strategy, including the following steps:

[0023] Step 1. Construct a mathematical analysis model of the order processing of the partition collaborative optimization sorting system: the key to order processing is how to minimize the total processing time. In order to obtain the structure of the total order processing time, it is necessary to analyze the system layout and the partition picking strategy. Work flow; such as figure 1 As shown, under the zoning picking strategy, the sorter system is divided into multiple independent picking areas, and a main conveyor belt is connected to the buffer at the end of each picking area; when processing orders, the sorters in each picking area pick the same The order goods are sent to the buffer zone, and ...

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Abstract

The invention discloses a zone collaborative optimization policy-based order processing method for an automatic sorting system. Collaborative optimization and data mining technologies are introduced for performing effective analysis and management on orders of the automatic sorting system. Firstly, a mathematic analysis model for processing the orders of the sorting system is subjected to zone collaborative optimization, and characteristics of the sorting system are analyzed; secondly, a zone collaborative optimization problem of the sorting machine is converted into a distribution seeking problem of a parallel machine; thirdly an item distribution sub-problem is established and a hierarchical clustering algorithm is designed for performing clustering processing; and finally an optimal order sequence is determined based on a Markov method. Therefore, the order sorting processing capability is improved and the problem of low logistics distribution efficiency in China is solved.

Description

Technical field [0001] The invention relates to the field of collaborative optimization and data mining, in particular to an order processing method of an automatic sorting system, and is particularly suitable for problems in goods picking and distribution. Background technique [0002] With the continuous development of society, people’s demand for goods has increasingly shown a trend of small-batch and diversified development, resulting in an increasing demand for small-batch, multi-variety, and time-efficient goods; under this trend, the variety and frequency of customer orders Increasingly, the time from order to request is getting shorter and shorter, making the role of the distribution center as a transfer station connecting customers and manufacturers more and more important; the distribution center can well solve the diverse needs of users in small quantities and large quantities of manufacturers The contradiction between specialized production has effectively reduced the...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/06G06Q10/08
CPCG06Q10/083G06Q30/0635
Inventor 肖亮陈庭贵王璐雅
Owner ZHEJIANG GONGSHANG UNIVERSITY
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