SciELO - Scientific Electronic Library Online

 
vol.27 número75Artificial Intelligence and Computer-Supported Collaborative Learning in Programming: A Systematic Mapping Study índice de autoresíndice de assuntospesquisa de artigos
Home Pagelista alfabética de periódicos  

Serviços Personalizados

Journal

Artigo

Indicadores

Links relacionados

  • Em processo de indexaçãoCitado por Google
  • Não possue artigos similaresSimilares em SciELO
  • Em processo de indexaçãoSimilares em Google

Compartilhar


Tecnura

versão impressa ISSN 0123-921X

Resumo

SANCHEZ POLANCO, Daniela Fernanda; ACEVEDO COTE, María Alejandra  e  ORJUELA CASTRO, Javier Arturo. Evaluating third party logistics. Challenges and trends. Tecnura [online]. 2023, vol.27, n.75, pp.207-237.  Epub 30-Nov-2022. ISSN 0123-921X.  https://doi.org/10.14483/22487638.17624.

Objective:

Establish the state of the art through a literature review of theoretical and empirical research conducted in the last decades in the field of logistics operators.

Methodology:

A systematic review of the literature was carried out in the Web of Science, Science Direct, Springer Link, IEEE and Google academic databases, and of documents from entities that report on logistics aspects.

Results:

New evaluation and selection mechanisms are identified, as well as a comparative analysis of the national logistics operators sector with respect to the international environment and identification of possible future work.

Conclusions:

The work of Colombian logistics operators is a little explored field, in terms of operational opportunities, as well as the strategies and methodologies used for their management in both normal and extraordinary conditions.

Financing:

Francisco José de Caldas District University

Palavras-chave : Third Party Logistics; Management; Selection; Evaluation.

        · resumo em Espanhol     · texto em Espanhol     · Espanhol ( pdf )