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

delete2023-03-01
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OA
AI
C
Chukwunwike O. Iloeje
Á
Álinson Santos Xavier *
J
John Atkins
K
Kyle Sun
A
Audrey Gallier
DOI:10.1016/j.xpro.2022.101913delete
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Abstract

Abstract

En 中文
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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STAR Protocols cover
STAR Protocols
IF:
1.3
Papers:
411
Citations:
4.7K

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A
Arizona State University
Scholars:
2.7W
Papers: 2.5W
Citations: 4.2W
A
Argonne National Laboratory
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Papers: 9.2K
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U
united states department of energy (doe)
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11.3W
Papers: 9.6W
Citations: 246
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arizona state university-tempe
Scholars:
1.5W
Papers: 1.2W
Citations: 13
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Cited Papers

Cited Papers

A systematic analysis of the costs and environmental impacts of critical materials recovery from hybrid electric vehicle batteries in the U.S.
err2022-09-01
err6
errOAAI
errIloeje, Chukwunwike O.; Xavier, Alinson Santos; Graziano, Diane; Atkins, John; Sun, Kyle; Cresko, Joe; Supekar, Sarang D.
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The Rate of Magnetic Resonance Imaging in Patients With Spinal Cord Stimulation
err2015-05-01
err0
errOAAI
errMehul J. Desai; Liesl M. Hargens; Maria D. Breitenfeldt; Alissa H. Doth; Michael P. Ryan; Candace Gunnarsson; Yair Safriel
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