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%0 Journal Article
%1 journals/candie/RodriguezME23
%A Rodríguez, German Maya
%A Morillo-Torres, Daniel
%A Escobar, John Willmer
%D 2023
%J Comput. Ind. Eng.
%K dblp
%P 109533
%T A new method for the measurement of robustness in reverse logistics supply chains based on entropy and nodal importance.
%U http://dblp.uni-trier.de/db/journals/candie/candie183.html#RodriguezME23
%V 183
@article{journals/candie/RodriguezME23,
added-at = {2023-11-12T00:00:00.000+0100},
author = {Rodríguez, German Maya and Morillo-Torres, Daniel and Escobar, John Willmer},
biburl = {https://www.bibsonomy.org/bibtex/2cf1cca6d8706002fc9608df6b24b8093/dblp},
ee = {https://doi.org/10.1016/j.cie.2023.109533},
interhash = {4ec43a3d0820d3eccfca3fec51c48537},
intrahash = {cf1cca6d8706002fc9608df6b24b8093},
journal = {Comput. Ind. Eng.},
keywords = {dblp},
month = {September},
pages = 109533,
timestamp = {2024-04-09T04:42:17.000+0200},
title = {A new method for the measurement of robustness in reverse logistics supply chains based on entropy and nodal importance.},
url = {http://dblp.uni-trier.de/db/journals/candie/candie183.html#RodriguezME23},
volume = 183,
year = 2023
}
