Lucas Ramon dos Santos Hermogenes, Isaque David Pereira de Almeida, Miguel Ângelo Lellis Moreira, Igor Pinheiro de Araújo Costa, Carlos Francisco Simões Gomes, Marcos dos Santos, David de Oliveira Costa, Daniel Augusto de Moura Pereira. E-commerce Supply Chain analysis using the ANYLOGISTIX computational tool. In Yong Shi 0001, Jianping Li 0001, Gang Kou, Daniel Berg, James M. Tien, editors, Proceedings of the 9th International Conference on Information Technology and Quantitative Management, ITQM 2022, Global Green Digital Economy: Challenges and Development, December 9-11, 2022, Beijing, China. Volume 214 of Procedia Computer Science, pages 487-494, Elsevier, 2022. [doi]
@inproceedings{HermogenesAMCGS22,
title = {E-commerce Supply Chain analysis using the ANYLOGISTIX computational tool},
author = {Lucas Ramon dos Santos Hermogenes and Isaque David Pereira de Almeida and Miguel Ângelo Lellis Moreira and Igor Pinheiro de Araújo Costa and Carlos Francisco Simões Gomes and Marcos dos Santos and David de Oliveira Costa and Daniel Augusto de Moura Pereira},
year = {2022},
doi = {10.1016/j.procs.2022.11.203},
url = {https://doi.org/10.1016/j.procs.2022.11.203},
researchr = {https://researchr.org/publication/HermogenesAMCGS22},
cites = {0},
citedby = {0},
pages = {487-494},
booktitle = {Proceedings of the 9th International Conference on Information Technology and Quantitative Management, ITQM 2022, Global Green Digital Economy: Challenges and Development, December 9-11, 2022, Beijing, China},
editor = {Yong Shi 0001 and Jianping Li 0001 and Gang Kou and Daniel Berg and James M. Tien},
volume = {214},
series = {Procedia Computer Science},
publisher = {Elsevier},
}