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Intelligent optimization algorithm based on load balancing

An intelligent optimization algorithm and balanced technology, applied in computing, commerce, instruments, etc., can solve the problems of too random loading, prolonged operation time, and uneven loading of shelves, so as to reduce the risk factor, improve economic efficiency, and improve loading The effect of the degree of balance

Inactive Publication Date: 2019-01-01
ALOG TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

If at a certain point in time, all the products are placed on one side, it will make the shelf loading uneven
(3) The weight at the time point is uneven. Since the order cart moves between workstations, the shelf of the order cart is empty in the initial situation. After entering the first workstation, all the products of this workstation are placed on the shelves. On one side, it is very easy to cause uneven loading of the order car. Even if it is corrected at the next workstation, it is still in an unbalanced loading state when walking from the first workstation to the second workstation.
For a long time, it has been stowed based on the experience of employees, but experience may not bring stability and optimal efficiency anytime and anywhere, and it is also difficult to subjectively evaluate whether empirical stowage will minimize the risk factor, while This experience is often lacking for new hires
The existing loading scheme is usually reflected in three defects: 1. The loading is unbalanced, and the order vehicle is prone to tilt or even collide
2. The stowage is unreasonable, heavy goods are placed at too high a position, and it is more difficult for workstation personnel to grasp
3. The stowage is too random, and the same kind of products are placed on different sides, causing the workstation personnel to turn back and forth for processing, lengthening the operation time and increasing the complexity

Method used

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  • Intelligent optimization algorithm based on load balancing
  • Intelligent optimization algorithm based on load balancing
  • Intelligent optimization algorithm based on load balancing

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Embodiment Construction

[0064] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with specific embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0065] An intelligent optimization algorithm based on load balancing, comprising the following steps:

[0066] S1. Initialization:

[0067] i. Inventory goods are divided into N categories, N=1, 2, 3, 4...n;

[0068] ii. The order cart unit has both front and back sides for delivery (side A and side B);

[0069] iii. The total volume of the order cart is a constant V;

[0070] iv. Extract the weight and volume of each commodity;

[0071] v. Calculate the total weight Wt and average weight Wa of all order items in this batch;

[0072] vi. Define the total weight W_A and W_B of the goods on the A side and the B side...

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Abstract

The invention discloses an intelligent optimization algorithm based on load balancing, which allocates the ordered goods to the order vehicle unit, so that each vehicle keeps the balance state at anytime in the driving process, and the order vehicle space is utilized to the maximum extent. This algorithm divides the stock goods into two types: heavy goods and common goods according to their weight, selectively distributes the goods according to their volume, and calculates the placement order, stacking direction, yaw and vertical mixed optimal collocation of each commodity in real time. Heavygoods shop bottom, the center position is first, ordinary goods shop high-rise, random distribution mainly. The invention ensures the load balance of the order car, improves the load efficiency and reduces the danger of the operation process.

Description

technical field [0001] The invention relates to the technical field of e-commerce, in particular to an intelligent optimization algorithm based on load balance. Background technique [0002] There are several items in one batch placed in several order boxes, and only one box type can be used. The number of order boxes of different box types that can be carried by the order cart is different, and a batch may span multiple operation areas. These operation areas are classified according to the attributes of the goods, and the common types are A, B, and C. The present invention uses n=1, 2, . . . , N to represent the commodity category. The order cart is the main tool for carrying multiple orders in a batch, and it moves between different work areas. If the loading of the order vehicles is unbalanced, the driving efficiency of the order vehicles will be reduced, which may easily cause safety hazards. [0003] The reasons for the unbalanced loading mainly include the following...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q30/06
CPCG06Q10/04G06Q30/0635
Inventor 李志军陈猛刚
Owner ALOG TECH CO LTD
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