Clusterization of Clients for Location Making Decisions of Logistics Facilities

Elsa Cristina Gonzalez La Rotta, Raul Ernesto Menenez Mora, Mauricio Becerra Fernandez

Research output: Chapter in Book/InformConference contribution

2 Scopus citations

Abstract

In this paper, we introduce to an application of different statistical techniques is developed, to propose a redesign of the distribution network for a 4PL logistics operator, which manages the supply chain of a telecommunications company. From a database of more than 2.2 million records, it is possible to establish a methodology for grouping clients into clusters, not only because of their geographical proximity, but also because of the similarities in terms of products demanded and service promise. The descriptive analysis, the exploratory factor analysis, the reduction of dimensions, the linear regression and the location of the distribution centers are combined using the centroid technique, to propose a decentralized network design that offers savings in the total annual cost of distribution.

Original languageEnglish (US)
Title of host publication2018 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2018 - Proceedings
EditorsCarlos Andres Lozano-Garzon
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538681312
DOIs
StatePublished - Dec 21 2018
Externally publishedYes
Event4th Innovation and Trends in Engineering Congress, CONIITI 2018 - Bogota, Colombia
Duration: Oct 3 2018Oct 5 2018

Publication series

Name2018 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2018 - Proceedings

Conference

Conference4th Innovation and Trends in Engineering Congress, CONIITI 2018
Country/TerritoryColombia
CityBogota
Period10/3/1810/5/18

All Science Journal Classification (ASJC) codes

  • Safety, Risk, Reliability and Quality
  • Education
  • Artificial Intelligence
  • Computer Networks and Communications
  • Information Systems and Management
  • Civil and Structural Engineering
  • Control and Systems Engineering

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