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A Warehouse Site Selection Method for Online Retailers in a Warehouse Network Considering Intersection

A technology for retailers and warehouses, applied in the field of supply chain, can solve the problem that the mixed integer optimization model cannot be well expanded, and achieve the effect of effective storage and transportation costs, reduction of management costs, and enhancement of industry competitiveness.

Active Publication Date: 2021-07-27
杭州览众数据科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The current site selection strategies are based on the experience of experts in this field and the mixed integer optimization model that considers different optimization objectives to solve the site selection problem. However, in large-scale supply chain networks, the mixed integer optimization model cannot be well extended. Hence the need for a heuristic approximation to the solution

Method used

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  • A Warehouse Site Selection Method for Online Retailers in a Warehouse Network Considering Intersection
  • A Warehouse Site Selection Method for Online Retailers in a Warehouse Network Considering Intersection
  • A Warehouse Site Selection Method for Online Retailers in a Warehouse Network Considering Intersection

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Embodiment

[0096] see figure 2 - Fig. 4, embodiment of the present invention

[0097] Dataset: 3,488,727 transaction records of the Chinese e-commerce company Xiaoye in 2012. More than one million customers from 371 major cities.

[0098] Question: How to assign these customers to the warehouse and how to choose the location of the warehouse.

[0099] Step 1: Distribution forecast of customer demand

[0100] In order to optimize the parameters of the ANN and prevent overfitting, the original 371 cities were randomly divided into three parts. The first part is 60% of the full set for training, the second part is 15% of the full set for cross-validation, and the third part is 15% of the full set for testing. Such as figure 2 Shown, represent the predicted performance of individual parts and the whole. The effectiveness of the ANN network can be seen from the figure.

[0101] Step 2. Warehouse location selection

[0102]For each specified K, first run the E&M algorithm proposed by...

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Abstract

The invention discloses a warehouse site selection method for an online retailer in a cross warehouse network. The present invention comprises the following steps: step 1, given the collection of customer distribution, the relevant characteristics of customer logistics satisfaction, and the relevant characteristics of customer purchasing ability; based on the given characteristics and collection, the artificial neural network method is used to predict the products in the next year Sales demand; Step 2. Solve the problem of optimizing warehouse location through E&M clustering algorithm with distance weight, and then reduce the size of the problem through hierarchical clustering. The invention can quickly, accurately and effectively reduce storage and transportation costs, enhance the decision-making ability of enterprise leaders, optimize enterprise supply chain management, reduce management costs, and enhance enterprise competitiveness in the industry.

Description

technical field [0001] The invention belongs to the field of supply chains, and in particular relates to a warehouse site selection method for an online retailer in a cross warehouse network. Background technique [0002] In recent years, the rise of online marketplaces around the world has provided customers who purchase products and services online with the entire process of development, marketing, sales, delivery, and services in online formats. Indeed, online transactions provide a convenient and efficient way for customers and retailers. However, online retailers must improve their supply chain network to provide better service. The goal of supply chain management is to deliver goods with the lowest cost and the shortest time under the premise of ensuring the best service quality, which is the foundation of the success of online retail business. In the development of a successful supply chain system, design effective warehouse location strategies. [0003] The curren...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q10/08G06K9/62
CPCG06Q10/043G06Q10/06313G06Q10/087G06F18/231
Inventor 陈灿王一君熊辉刘峻铭吴珊珊
Owner 杭州览众数据科技有限公司
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