## 3 Results
\begin{table}
\begin{tabular}{c c c c c c c} \hline \hline
**Ref.** & **Author(s)** & **Year** & **Journal** & **Study Title** & **Methodology** & **Key Contributions** \\ \hline
[54] & [PERSON] et al. & 2023 & \begin{tabular}{c} Journal of \\ Cleaner \\ Production \\ \end{tabular} & \begin{tabular}{c} Waste tire valorization: \\ Advanced technologies, \\ process simulation, and \\ system optimization. \\ \end{tabular} & \
\begin{tabular}{c} Review of \\ advanced technologies, \\ process simulation, and \\ sustainability \\ assessment. \\ \end{tabular} &
\begin{tabular}{c} Proposal for a \\ unified \\ sustainability \\ assessment system. \\ \end{tabular} \\ \hline
[55] & [PERSON] et al. & 2024 & \begin{tabular}{c} Waste \\ Management \\ \end{tabular} & \begin{tabular}{c} Uncertain programming \\ model for designing \\ multi-objective reverse \\ logistics networks. \\ \end{tabular} & \
\begin{tabular}{c} Multi-objective \\ programming \\ with \\ uncertainties \\ and NSGA-III \\ algorithm. \\ \end{tabular} &
\begin{tabular}{c} Robust model to \\ minimize costs and \\ environmental \\ impacts. \\ \end{tabular} \\ \hline
[56] & [PERSON], M.A. & 2024 & \begin{tabular}{c} Journal of En- \\vironment \\ Management \\ \end{tabular} & \begin{tabular}{c} Evaluating e-waste \\ mitigation strategies \\ based on Industry 5.0 \\ enablers. \\ \end{tabular} & \
\begin{tabular}{c} BWM \\ (Best-Worst \\ Method) and \\ F-VIKOR. \\ \end{tabular} &
\begin{tabular}{c} “Take-back \\ practices” as a key \\ strategy for \\ sustainable e-waste \\ management. \\ \end{tabular} \\ \hline
[57] & [PERSON] & 2020 & \begin{tabular}{c} Expert \\ Systems with \\ Applications \\ \end{tabular} & \begin{tabular}{c} A fuzzy multi-objective \\ optimization model for \\ sustainable reverse \\ logistics network design. \\ \end{tabular} & \
\begin{tabular}{c} Fuzzy \\ optimization model for \\ sustainable reverse \\ and genetic \\ algorithms. \\ \end{tabular} &
\begin{tabular}{c} See colony \\ algorithm \\ outperformed \\ NSGA-II in \\ solution \\ exploration. \\ \end{tabular} \\ \hline
[58] & [PERSON] & 2023 & \begin{tabular}{c} Applied Soft \\ Computing \\ \end{tabular} & \begin{tabular}{c} Closed-loop \\ multi-objective waste \\ management through \\ vehicle routing in a \\ neutrosophic fuzzy \\ environment. \\ \end{tabular} & \
\begin{tabular}{c} Neutrosophic \\ fuzzy logic and \\ TOPSIS. \\ \end{tabular} &
\begin{tabular}{c} Pareto-optimal \\ solutions for \\ emission reduction \\ and profit \\ maximization. \\ \end{tabular} \\ \hline
[59] & [PERSON] et al. & 2017 & \begin{tabular}{c} Waste \\ Management \\ \end{tabular} & \begin{tabular}{c} Global reverse supply \\ chain design for solid \\ waste recycling under \\ uncertainties. \\ \end{tabular} & \
\begin{tabular}{c} Mixed-integer \\ linear \\ programming \\ with robust \\ optimization. \\ \end{tabular} &
\begin{tabular}{c} Robust model to \\ handle \\ uncertainties and \\ carbon emission \\ constraints. \\ \end{tabular} \\ \hline
[60] & [PERSON] et al. & 2020 & \begin{tabular}{c} Waste \\ Management \\ \end{tabular} & \begin{tabular}{c} Optimization of \\ recyclable MSW recycling \\ network: A Chinese case \\ of Shanghai. \\ \end{tabular} & \
\begin{tabular}{c} P-median \\ optimization \\ model. \\ \end{tabular} &
\begin{tabular}{c} Reduction of \\ operational costs in \\ municipal solid \\ waste \\ management. \\ \end{tabular} \\ \hline
[61] & [PERSON] & 2018 & \begin{tabular}{c} Resources, \\ Conservation \\ and Recycling \\ \end{tabular} & \
\begin{tabular}{c} Reverse logistics network \\ redesign under \\ uncertainty for wood \\ waste in the CRD \\ industry. \\ \end{tabular} &
\begin{tabular}{c} Mixed-integer \\ linear \\ programming \\ (MILP) and \\ scenario \\ analysis. \\ \end{tabular} \\ \hline
[62] & [PERSON] & 2022 & \begin{tabular}{c} Journal of \\ Cleaner \\ Production \\ \end{tabular} & \begin{tabular}{c} Waste material recycling \\ and exchanging decisions \\ for industrial symbiosis \\ network optimization. \\ \end{tabular} & \
\begin{tabular}{c} Mixed-integer \\ programming \\ and epsilon- \\ constraint \\ method. \\ \end{tabular} &
\begin{tabular}{c} Balance between \\ economic, \\ environmental, \\ and social \\ and objectives. \\ \end{tabular} \\ \hline \end{tabular}
\end{table}