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Intelligent logistics picking path combination method

A combination method and intelligent logistics technology, applied in the field of warehousing and logistics, can solve problems such as long time-consuming, high investment, single task, etc., and achieve the effect of reducing walking time

Active Publication Date: 2019-05-14
WUHAN PROLOG INTEGRATED TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] In the e-commerce scenario, 100 tasks have to be completed per unit time. According to the conventional warehouse picking operation mode, one person corresponds to one picking task, one picking task corresponds to one task, and the task picking location nodes are sorted in sequence. This sorting mode It has the disadvantages of single task, frequent walking of picking operators, long time-consuming, and more manpower input, which can no longer meet the business demands of large warehouses, picking of massive tasks, and time-sensitive requirements

Method used

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  • Intelligent logistics picking path combination method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0040] Obtain the order pool task in the picking area, and filter out the picking order task;

[0041] The preset picking task node value is 24, there are 30 single tasks in lanes 4-4, and 30 single tasks in lanes 5-5, then select the first 24 single tasks in lanes 4-4 to package and generate a picking task, and no longer traverse other lanes. And update the number of tasks in lane 4-4.

Embodiment 2

[0043] Obtain the order pool task in the picking area, and filter out the picking order task;

[0044] The preset picking task node value is 24, there are 25 single tasks in lanes 4-4, and 36 single tasks in lanes 5-5. Select the first 24 single tasks in lanes 5-5 to package and generate a picking task, and no longer traverse other lanes, and Update the number of missions in Lane 5-5.

Embodiment 3

[0046] Obtain the order pool task in the picking area, and filter out the picking order task;

[0047] The preset picking task node value is 20, lanes 4-4 have 3 single tasks, lanes 4-5 have 2 single tasks, lanes 4-6 have 2 single tasks, lanes 5-5 have 7 single tasks, lanes 5-6 have 3 single missions, lane 6-6 has 3 single missions;

[0048] The calculation system sequentially selects 7 orders from laneway 5-5, 2 orders from laneway 4-5, 3 orders from laneway 4-4, 3 orders from laneway 5-6, 3 orders from laneway 6-6, and 3 orders from laneway 4-6 2 orders, so as to reach 20 orders, instead of traversing other lanes, a picking task is generated.

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Abstract

The invention provides an intelligent logistics picking path combination method. The method comprises the following steps: simultaneously selecting according to a path and commodity frequency, the commodity frequency is obtained; selecting an initial picking roadway to calculate the number of task lists; when the number of the task orders does not meet the preset parameters, one adjacent roadway is added on the basis of the initial picking roadway, the number of the two roadway task orders is calculated, if the number of the two roadway task orders is not met, the roadway is added again untilthe number of the roadway is met, and the picking path combination method can enable a picker to walk on the shortest path to complete the most picking task and improve the picking efficiency.

Description

technical field [0001] The invention relates to the technical field of warehousing logistics, in particular to an intelligent logistics picking path combination method. Background technique [0002] In the e-commerce scenario, 100 tasks have to be completed per unit time. According to the conventional warehouse picking operation mode, one person corresponds to one picking task, one picking task corresponds to one task, and the task picking location nodes are sorted in sequence. This sorting mode It has the disadvantages of single task, long walking of picking operators, long time-consuming, and more manpower input. It can no longer meet the business demands of large warehouses, picking of massive tasks, and time-sensitive requirements. Based on this situation, the path algorithm and product frequency ABC layout of multi-order parallel picking and obtaining an optimal set of task groups can effectively solve these problems. Contents of the invention [0003] In view of thi...

Claims

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Application Information

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IPC IPC(8): G06Q10/08G06Q10/04G06Q10/06
Inventor 蒋文磊刘慧芳
Owner WUHAN PROLOG INTEGRATED TECH CO LTD
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