Factors that help in the location of a distribution center: a bibliometric analysis
DOI:
https://doi.org/10.47456/bjpe.v7i1.33094Keywords:
Distribution center, Logistics, Bibliometric, LocationAbstract
Distribution Centers (DC) are fundamental facilities for the Supply Chain and are structured according to their demand and geographic location, in order to serve their buyers. When strategically located, a company's distribution centers provide a significant reduction in logistics costs. Thus, this study aims to map the scientific activity (bibliometrics) based on the theme: factors that help in the location of a CD, using in principle the entire coverage period of the main available databases: Web of Science - WOS, Scopus and Scielo. The process selected 11 relevant articles, aligned with the theme, a qualitative bibliometric analysis of the portfolio was carried out in order to characterize and analyze the articles. Most works have worked with Fuzzy theory and other methods of multicriteria analysis. And it can be seen that access, cost, environmental impact and resources are mentioned in several articles in the final analyzed portfolio.
Downloads
References
Ahmadi-Javid, A., & Hoseinpour, P. (2015). Incorporating location, inventory and price decisions into a supply chain distribution network design problem. Computers & Operations Research, 56, 110-119.
Awasthi, A., Chauhan, S. S., & Goyal, S. K. (2011). A multi-criteria decision making approach for location planning for urban distribution centers under uncertainty. Mathematical and Computer Modelling, 53(1–2), 98-109.
Ballou, R. H. (1993). Logística empresarial: transportes, administração de materiais e distribuição fiscal. São Paulo: Atlas.
_____. (2001). Gerenciamento da cadeia de suprimentos: planejamento, organização e logística empresarial. Porto Alegre: Bookmann.
Boyle, F., & Sherman, D. (2006). The productand its development. The Serials Librarian, Philadelphia, 49(3), 147-153.
Carvalho, N. L. A., Ribeiro, P. C. C., Oliveira, L. K., & Silva, J. E. A. R. (2019). Criteria to implement UDCs in historical cities: a Brazilian case study. European Transport, 72, 1-29.
Cay, T., & Uyan, M. (2013). Evaluation of reallocation criteria in land consolidation studies using the Analytic Hierarchy Process (AHP). Land Use Policy, 30(1), 541- 548.
Chow, G. (1984). Microcomputers in Logistics. Logistics and Transportation Review, 20(4), 471-501.
Chueke, G. V., & Amatucci, M. (2015). O que é bibliometria? Uma introdução ao Fórum. Internext, 10(2), 1-5.
Cunha, L. P., Angélico, M. G., & Medeiros Neta, O. M. (2018). Mapeamento Bibliométrico Da Produção Científica: Elaborando Conhecimento Sobre Pestalozzi. Revista Brasileira de Iniciação Científica, Itapetininga, 5(4), 58-69.
Dupont, W. D., & Plummer, W. D. (1990). Power and sample size calculations: a review and computer program. Controlled clinical trials, 11(2), 116-128.
E-commerce Brasil. (2019). Estudo aponta tendências de logística e transporte do país em 2020. Recuperado de https://www.ecommercebrasil.com.br/noticias/tendencias-logistica-transporte-2020/
Ferri, G. L., Chaves, G. L. D., & Ribeiro, G. M. (2014). Análise e localização de centros de armazenamento e triagem de resíduos sólidos urbanos para a rede de logística reversa: um estudo de caso no município de São Mateus, ES. Production, 25(1).
Gomes, V. A. P., & Freitas, R. R. (2019). Wind Farm Implementation Factors: A Bibliometric Analysis. International Journal of Advanced Engineering Research and Science, 6, 58-64.
Harper, R. L. (2010). Warehouse Technology in the Supply Chain Management Systems. Annual Reliability and Maintainability Symposium (RAMS). Florida University.
Harris, I., Mumford, C. L., & Naim, M. M. (2014). A hybrid multi-objective approach to capacitated facility location with flexible store allocation for green logistics modeling. Transportation Research Part E: Logistics and Transportation Review, 66, 1-22.
ILOS. Especialistas em Logítica e Supply Chain. (2014). Consulta geral a homepage oficial. Recuperado de http://www.ilos.com.br
_____. Custos Logístico no Brasil. (2017). Portal Ilos. Recuperado de http://www.ilos.com.br/web/analise-de-mercado/relatorios-de-pesquisa/custos-logisticos-no-brasil/
Kuo, M. (2011). Optimal location selection for an international distribution center by using a new hybrid method. Expert Systems with Applications, 38(6), 7208-7221.
Lacerda, R. T. O., Ensslin, L., & Ensslin, S. R. (2012). Uma análise bibliométrica da literatura sobre estratégia e avaliação de desempenho. Gestão & Produção, 19(1).
Liu, S., Chan, F. T. S., & Chung, S. H. (2011). A study of distribution center location based on the rough sets and interactive multi-objective fuzzy decision theory. Robotics and Computer-Integrated Manufacturing, 27(2), 426-433.
Morales, S. R., Morabito, R., & Widmer, J. A. (1997). Otimização do carregamento de produtos paletizados em caminhões. Gestão & Produção, 4(2), 234-252.
Noronha, D. P., Kiyotani, N. M., & Juanes, I. A. S. (2002). Produção científica de docentes na área de comunicação. Encontro nacional de centros de informação da área de comunicação, Salvador, Anais Salvador.
Ozcan, T., Çelebi, N., & Esnaf, S. (2011). Comparative analysis of multi-criteria decision making methodologies and implementation of a warehouse location selection problem. Expert Systems with Applications, 38(8), 9773-9779.
Pelúcio, C. (2020). Impacto do coronavírus no transporte de cargas chega a 26% segundo dados do Decope. NTC&Logística. Recuperado de https://www.portalntc.org.br/noticias/rodoviario/6074-impacto-do-coronavirus-no-transporte-de-cargas-chega-a-26-segundo-dados-do-decope.html
Ramos, P. T. R. (2015). Estudo para implantação de Centro de Distribuição de produtos farmacêuticos na cidade de Uberlândia (MG). 2015. Dissertação (Mestrado) – Faculdade de Engenharia Civil, Universidade Federal de Uberlândia, Uberlândia.
Rao, C., Goh, M., Zhao, Y., & Zheng, J. (2015). Location selection of city logistics centers under sustainability. Transportation Research Part D: Transport and Environment, 36, 29-44.
Samor, G. (2018). Brasil desperdiça R$100 bi em logística. Jornal de Minas Gerais. Disponível em: <https://www.em.com.br/app/noticia/economia/2018/06/05/internas_economia,964437/brasil-desperdica-r100-bi-em-logistica.shtml>. Acesso em: 29 jun. 2020.
Shankar, B. L., Basavarajappa, S., Chen, J. C. H., & Kadadevaramath, R. S. (2013). Location and allocation decisions for multi-echelon supply chain network - A multi-objective evolutionary approach. Expert Systems with Applications, 40(2), 551-562.
Shannon, R. E., & Ignizio, J. P. (1970). A heuristic programming algorithm for warehouse location. AIIE Transactions, 2(4), 334-339.
Wang, Y., Ma, X., Wang, Y., Mao, H., & Zhang, Y. (2012). Location optimization of multiple distribution centers under fuzzy environment. Journal of Zhejiang University SCIENCE A, 13, 782–798.
Xu, J., Yao, L., & Zhao, X. (2011). A multi-objective chance-constrained network optimal model with random fuzzy coefficients and its application to logistics distribution center location problem. Fuzzy Optimization and Decision Making, 10, 255–285.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2021 Brazilian Journal of Production Engineering - BJPE
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.