Classification and Clustering of Clients of a Company Dedicated to the Distribution of Auto Parts in the Metropolitan Area of Monterrey

Leonardo G. Hernández Landa; Rosa E. Mata Martinez; Argelia Vargas Moreno; Arlethe Y. García Aguilar

Computer Science and Health Engineering in Health Services. 4th EAI International Conference, COMPSE 2020, Virtual Event, November 26, 2020, Proceedings

Research Article

Classification and Clustering of Clients of a Company Dedicated to the Distribution of Auto Parts in the Metropolitan Area of Monterrey

Download

56 downloads

Cite: BibTeX Plain Text

@INPROCEEDINGS{10.1007/978-3-030-69839-3_1,
    author={Leonardo G. Hern\^{a}ndez Landa and Rosa E. Mata Martinez and Argelia Vargas Moreno and Arlethe Y. Garc\^{\i}a Aguilar},
    title={Classification and Clustering of Clients of a Company Dedicated to the Distribution of Auto Parts in the Metropolitan Area of Monterrey},
    proceedings={Computer Science and Health Engineering in Health Services. 4th EAI International Conference, COMPSE 2020, Virtual Event, November 26, 2020, Proceedings},
    proceedings_a={COMPSE},
    year={2021},
    month={7},
    keywords={Clustering Level of service Logistics},
    doi={10.1007/978-3-030-69839-3_1}
}

Leonardo G. Hernández Landa
Rosa E. Mata Martinez
Argelia Vargas Moreno
Arlethe Y. García Aguilar
Year: 2021
Classification and Clustering of Clients of a Company Dedicated to the Distribution of Auto Parts in the Metropolitan Area of Monterrey
COMPSE
Springer
DOI: 10.1007/978-3-030-69839-3_1

Leonardo G. Hernández Landa¹, Rosa E. Mata Martinez¹, Argelia Vargas Moreno¹, Arlethe Y. García Aguilar¹

1: Universidad Autónoma de Nuevo León

Abstract

In this research work, we have collaborated with a company with a local presence dedicated to the sale and distribution of auto parts. The main problem is the lack of an optimized system of distribution to customers, which is capable of accelerating the delivery process. Particularly in this work, we have developed a method to calculate the correct clustering of customers by areas considering the density and volume of order. The result is a classification and assignment of a zone to each customer by the method of k-medoid considering two measures of performance of the literature in order to take the best.

Keywords: Clustering Level of service Logistics

Published: 2021-07-16
Appears in: SpringerLink

: http://dx.doi.org/10.1007/978-3-030-69839-3_1