Third-party logistic provider (3PLP) companies play a major role in supply chain management (SCM) by carrying out specialized functions—namely, integrated operation, warehousing, and transportation services. Taking sustainability issues into consideration makes reverse logistics even more significant. In this paper, a combination of sustainability and risk factors was considered for third-party reverse logistic provider (3PRLP) evaluation. Initially, fuzzy step-wise weight assessment ratio analysis (Fuzzy SWARA) was applied for weighing the evaluation criteria; then, Fuzzy multi-objective optimization on the basis of ratio analysis (Fuzzy MOORA) was utilized for ranking the sustainable third-party reverse logistic providers in the plastic industry in the second step. Findings highlight that quality, recycling, health, and safety were the most important criteria in economic, environmental, and social dimensions of sustainability, respectively. Also, operational risk was found to have the highest weight among risk factors

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In this paper, we propose a novel hybrid multiple attribute decision-making (MADM) approach, which includes fuzzy analytic hierarchy process (fuzzy AHP) and gray multi-objective optimization by ratio analysis (MOORA-G). By using fuzzy and gray numbers, we successfully deal with the qualitative and uncertain inputs that often arise from real-world decision-making process. We adopt this hybrid approach to take the advantages offered by both methods, and designate the former for weighting the considered criteria, and the latter for ranking the alternatives. To demonstrate the performance of the proposed hybrid approach, we apply it to a case study on the selection of third-party reverse logistics providers (3PRLPs) for a car parts manufacturing company and benchmark it with the MOORA method. The outcome of this study indicates that our proposed approach can offer more viable performance when facing qualitative data and input uncertainties, and consequently, lends itself to a wider range of applications.