Storage location allocation method considering picking distance and storage location dispersion
A distribution method and discrete technology, applied in the field of warehousing and logistics, can solve problems such as the inability to reflect the distance between warehouse locations, and achieve the effect of reducing warehousing costs and improving solution efficiency.
Active Publication Date: 2021-10-19
武汉禾青优化科技有限公司
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[0004] The present invention aims at the problem that the existing storage location allocation algorithm only considers the Euclidean distance between the storage locations, and cannot reflect the real distance between the storage locations. Improve the scientificity of warehouse location allocation and reduce enterprise storage costs
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[0022] The principles and features of the present invention are described below in conjunction with the accompanying drawings, and the examples given are only used to explain the present invention, and are not intended to limit the scope of the present invention.
[0023] figure 1 It is a schematic flow chart of the implementation of a storage location allocation method that considers the picking distance and the storage location dispersion in the embodiment of the present invention; as figure 1 shown, including the following steps:
[0024] Step 1: The given initial data includes: warehouse layout and size, type of goods, historical order data;
[0025] Step 2: cluster the goods according to the historical order data;
[0026] Step 3: Initialize the population and probability matrix;
[0027] Step 4: According to the reentry picking strategy and the goods clustering results, calculate the picking distance and location dispersion of the solution corresponding to the populat...
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The invention provides a storage location allocation method considering a picking distance and storage location dispersion. The method comprises the following steps: firstly, giving warehouse layout and size, cargo types and historical order data, then clustering cargoes according to the historical order data, then initializing a population and a probability matrix, calculating a cargo picking distance and a storage location dispersion of a solution corresponding to the population according to a turn-back cargo picking strategy and a cargo clustering result, calculating a cargo picking distance and a storage location dispersion of a solution corresponding to the population, calculating the fitness of the population according to the order picking distance and the storage location dispersion, screening out a dominant population and an optimal individual, updating the optimal individual by adopting a neighborhood search algorithm, selecting the dominant population to update a probability matrix, sampling the probability matrix to generate a new population, and carrying out repeated iteration until an iteration termination condition is reached.
Description
technical field [0001] The invention relates to the field of warehousing and logistics, in particular to a storage location allocation method that considers picking distance and storage location dispersion. Background technique [0002] Warehousing is an important part of the logistics system, and its time-consuming and labor-intensive delivery process directly affects the efficiency of warehousing operations, which in turn affects the efficiency of the logistics system. Especially in warehouses where people arrive and pick goods, it is necessary to manually pick goods out of the warehouse according to the order. This process is the most labor-intensive and time-consuming link in warehouse operations. The storage location allocation affects the efficiency of picking and delivery from the source, so designing a better storage location allocation plan is of great significance to the storage system. [0003] The storage location allocation problem has been widely concerned sin...
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IPC IPC(8): G06Q10/04G06Q10/08G06N3/00
CPCG06Q10/043G06Q10/087G06N3/006
Inventor 沈吟东其他发明人请求不公开姓名
Owner 武汉禾青优化科技有限公司