Logistics distribution optimization: Fuzzy clustering analysis of e-commerce customers’ demands

Producción científica: Article › revisión exhaustiva

ASJC Scopus Subject Areas

@article{0b9a709b721145df8ff4d9ee7e0b8db5,

title = "Logistics distribution optimization: Fuzzy clustering analysis of e-commerce customers{\textquoteright} demands",

keywords = "Classification of e-commerce customers, E-commerce, Fuzzy clustering, Logistics",

author = "Kangning Zheng and Xiaoxin Huo and Sajjad Jasimuddin and Zhang, \{Justin Zuopeng\} and Olga Batta{\"i}a",

note = "Publisher Copyright: {\textcopyright} 2023 Elsevier B.V.",

year = "2023",

month = oct,

doi = "10.1016/j.compind.2023.103960",

language = "English",

volume = "151",

}

TY - JOUR

T1 - Logistics distribution optimization

T2 - Fuzzy clustering analysis of e-commerce customers’ demands

AU - Zheng, Kangning

AU - Huo, Xiaoxin

AU - Jasimuddin, Sajjad

AU - Zhang, Justin Zuopeng

AU - Battaïa, Olga

PY - 2023/10

Y1 - 2023/10

KW - Classification of e-commerce customers

KW - E-commerce

KW - Fuzzy clustering

KW - Logistics

UR - https://www.scopus.com/pages/publications/85162130603

UR - https://www.scopus.com/pages/publications/85162130603#tab=citedBy

U2 - 10.1016/j.compind.2023.103960

DO - 10.1016/j.compind.2023.103960

M3 - Article

AN - SCOPUS:85162130603

SN - 0166-3615

VL - 151

JO - Computers in Industry

JF - Computers in Industry

M1 - 103960

ER -