Research on Location of Logistics Distribution Center Based on K-Means Clustering Algorithm

Abstract

The basic task of the logistics distribution center is to achieve the storage and distribution of materials, and to plan, implement, and manage the effective flow of materials from the supplying place to the consumption place. Scientific location of logistics distribution center can effectively reduce logistics cost, improve the speed of circulation, increase the profits of enterprises, and enhance the core competitiveness of enterprises. Combining the advantages of K-means clustering algorithm, this paper applies it to the location problem of logistics distribution center and proposes a logistics distribution center location method combining K-means clustering theory and D-S reasoning, which provides a better solution for the location problem of logistics distribution center. Through case analysis, K-means clustering algorithm can obtain reasonable location of logistics distribution center, which can be applied to the location of multilevel logistics distribution network, and has certain practical application value.

Research on location selection of dairy cold chain logistics distribution center

“…The purpose is to solve the problem of location selection of perishable product distribution centers considering inventory strategy. [6]- [8] used different data analysis methods to build models considering a variety of factors, including operating conditions, transportation costs, infrastructure, carbon emissions, etc. [9] When solving the multi-distribution center location problem, the characteristics of the P-median model were analyzed.…”

The Optimization of the Location of Front Distribution Centre: A Spatio-Temporal Joint Perspective

“…A key contribution of this paper is to extend the two-stage location decision method by focusing on the spatio-temporal considerations in the literature on FDC location selection problem. Specifically, in clustering stage, many studies use the K-means clustering algorithm to generate the candidate facility location (Wang et al, 2018(Wang et al, , 2022Shahparvari et al, 2020). However, these studies only clustered demand points based on space distance.…”

Retracted: Research on Location of Logistics Distribution Center Based on K-Means Clustering Algorithm

“…Tis article has been retracted by Hindawi, as publisher, following an investigation undertaken by the publisher [1]. Tis investigation has uncovered evidence of systematic manipulation of the publication and peer-review process.…”