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

Chukwunwike O Iloeje; Alinson Santos Xavier; John Atkins; Kyle Sun; Audrey Gallier

doi:10.1016/j.xpro.2022.101913

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

STAR Protoc. 2023 Mar 17;4(1):101913. doi: 10.1016/j.xpro.2022.101913. Epub 2022 Dec 21.

Authors

Chukwunwike O Iloeje¹, Alinson Santos Xavier², John Atkins³, Kyle Sun⁴, Audrey Gallier⁵

Affiliations

¹ Energy Systems and Infrastructure Analysis Division, Argonne National Laboratory, Lemont, IL 60439, USA. Electronic address: ciloeje@anl.gov.
² Energy Systems and Infrastructure Analysis Division, Argonne National Laboratory, Lemont, IL 60439, USA. Electronic address: axavier@anl.gov.
³ Department of Mechanical Engineering, Arizona State University, Tempe, AZ 85281, USA.
⁴ Natural Power, Saratoga Springs, NY 12866, USA.
⁵ Khoury College of Computer Sciences, Northeastern University, Boston, MA 02115, USA.

Abstract

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.

Keywords: Computer sciences; Energy; Environmental sciences.

Publication types

Research Support, U.S. Gov't, Non-P.H.S.