Protocol for designing, optimizing, and analyzing reverse supply chains using RELOG

In this protocol, we describe the use of RELOG, an open-source, supply chain optimization package, for robust design and analysis of optimal reverse logistics and manufacturing networks. We detail installation steps and input data assembly, followed by problem modeling. We further detail how to run...

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Autores principales: Iloeje, Chukwunwike O., Santos Xavier, Alinson, Atkins, John, Sun, Kyle, Gallier, Audrey
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Protocol
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9795519/
https://www.ncbi.nlm.nih.gov/pubmed/36548130
http://dx.doi.org/10.1016/j.xpro.2022.101913
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author Iloeje, Chukwunwike O.
Santos Xavier, Alinson
Atkins, John
Sun, Kyle
Gallier, Audrey
author_facet Iloeje, Chukwunwike O.
Santos Xavier, Alinson
Atkins, John
Sun, Kyle
Gallier, Audrey
author_sort Iloeje, Chukwunwike O.
collection PubMed
description In this protocol, we describe the use of RELOG, an open-source, supply chain optimization package, for robust design and analysis of optimal reverse logistics and manufacturing networks. We detail installation steps and input data assembly, followed by problem modeling. We further detail how to run the RELOG optimization, visualize, and analyze the results. The implementation discussed here illustrates battery recycling; however, our package can analyze a wide variety of supply chains with multiple types of plants, products, and time periods. For complete details on the use and execution of this protocol, please refer to Xavier and Iloeje (2020)(1) and Iloeje et al. (2022).(2)
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spelling pubmed-97955192022-12-29 Protocol for designing, optimizing, and analyzing reverse supply chains using RELOG Iloeje, Chukwunwike O. Santos Xavier, Alinson Atkins, John Sun, Kyle Gallier, Audrey STAR Protoc Protocol In this protocol, we describe the use of RELOG, an open-source, supply chain optimization package, for robust design and analysis of optimal reverse logistics and manufacturing networks. We detail installation steps and input data assembly, followed by problem modeling. We further detail how to run the RELOG optimization, visualize, and analyze the results. The implementation discussed here illustrates battery recycling; however, our package can analyze a wide variety of supply chains with multiple types of plants, products, and time periods. For complete details on the use and execution of this protocol, please refer to Xavier and Iloeje (2020)(1) and Iloeje et al. (2022).(2) Elsevier 2022-12-21 /pmc/articles/PMC9795519/ /pubmed/36548130 http://dx.doi.org/10.1016/j.xpro.2022.101913 Text en © 2022 Argonne National Laboratory https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Protocol
Iloeje, Chukwunwike O.
Santos Xavier, Alinson
Atkins, John
Sun, Kyle
Gallier, Audrey
Protocol for designing, optimizing, and analyzing reverse supply chains using RELOG
title Protocol for designing, optimizing, and analyzing reverse supply chains using RELOG
title_full Protocol for designing, optimizing, and analyzing reverse supply chains using RELOG
title_fullStr Protocol for designing, optimizing, and analyzing reverse supply chains using RELOG
title_full_unstemmed Protocol for designing, optimizing, and analyzing reverse supply chains using RELOG
title_short Protocol for designing, optimizing, and analyzing reverse supply chains using RELOG
title_sort protocol for designing, optimizing, and analyzing reverse supply chains using relog
topic Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9795519/
https://www.ncbi.nlm.nih.gov/pubmed/36548130
http://dx.doi.org/10.1016/j.xpro.2022.101913
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