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• W4313255248 endingPage "119396" @default.
• W4313255248 startingPage "119396" @default.
• W4313255248 abstract "In today’s world, reverse logistics (RLs) activities have become increasingly crucial for companies looking for improved customer service, cost reduction, and sustainability perspectives. Limited resources, and insufficient technology and knowledge, have led manufacturing firms to cooperate with professional RL providers. However, evaluating the right third-party reverse logistics providers (3PRLPs) is a complex, uncertain multi-criteria decision-making (MCDM) problem, which is affected by many conflicting qualifications, the complexity of the human mind, and imprecise and uncertain information. This paper aims to introduce a novel framework that integrates fuzzy best worst method (BWM) and a new last aggregation fuzzy compromise solution for providing systematic decision support for organizations to select the most preferred partner. The reasons behind choosing both methods in an integrated way are that; the fuzzy BWM requires a smaller number of comparisons but can provide more reliable weights due to consistent criteria comparisons. Furthermore, the approaches based on compromise solutions are powerful decision-making tools because a compromise solution is a more feasible solution closest to the ideal that can be efficient in selecting the best alternative in the presence of conflicting decision criteria. Therefore, the fuzzy BWM approach is utilized to investigate the performance criteria of the 3PRLPs from economic, environmental, and social aspects of sustainability as well as risk factor. Expert weights and the preferences of sustainable 3PRLPs are then calculated simultaneously using a new last aggregation fuzzy compromise solution. Compared with the available literature, the proposed framework considers all possible sustainable criteria along with risk factor, which offers greater flexibility for experts to articulate their evaluations. In addition, the last aggregation fuzzy method eliminates distortion and loss of information and allows decision-makers to control the outcome’s precision. Moreover, the applicability of the proposed method is numerically demonstrated by developing a decision-support tool for the food industry. Sensitivity analysis and comparative analysis further illustrate the flexibility and practicability of proposed framework through which the decision-makers can make more accurate judgments regarding the evaluation of 3PRLPs." @default.
• W4313255248 created "2023-01-06" @default.
• W4313255248 creator A5016968690 @default.
• W4313255248 creator A5019742035 @default.
• W4313255248 date "2023-04-01" @default.
• W4313255248 modified "2023-09-30" @default.
• W4313255248 title "A new last aggregation fuzzy compromise solution approach for evaluating sustainable third-party reverse logistics providers with an application to food industry" @default.
• W4313255248 cites W1524729306 @default.
• W4313255248 cites W1570519176 @default.
• W4313255248 cites W1844859201 @default.
• W4313255248 cites W1965712760 @default.
• W4313255248 cites W1968771418 @default.
• W4313255248 cites W1969277419 @default.
• W4313255248 cites W1972512581 @default.
• W4313255248 cites W1973628529 @default.
• W4313255248 cites W1976648596 @default.
• W4313255248 cites W1976695466 @default.
• W4313255248 cites W1978763723 @default.
• W4313255248 cites W1981116686 @default.
• W4313255248 cites W1987347924 @default.
• W4313255248 cites W1988428279 @default.
• W4313255248 cites W1990255256 @default.
• W4313255248 cites W1993944818 @default.
• W4313255248 cites W1998655762 @default.
• W4313255248 cites W2002929769 @default.
• W4313255248 cites W2006654301 @default.
• W4313255248 cites W2014644425 @default.
• W4313255248 cites W2017653401 @default.
• W4313255248 cites W2020360355 @default.
• W4313255248 cites W2020833085 @default.
• W4313255248 cites W2021604455 @default.
• W4313255248 cites W2025883194 @default.
• W4313255248 cites W2027669005 @default.
• W4313255248 cites W2030637275 @default.
• W4313255248 cites W2033401964 @default.
• W4313255248 cites W2044957846 @default.
• W4313255248 cites W2047517106 @default.
• W4313255248 cites W2051375680 @default.
• W4313255248 cites W2051541750 @default.
• W4313255248 cites W2052845006 @default.
• W4313255248 cites W2065109455 @default.
• W4313255248 cites W2069776660 @default.
• W4313255248 cites W2071496984 @default.
• W4313255248 cites W2074634340 @default.
• W4313255248 cites W2076110699 @default.
• W4313255248 cites W2085287108 @default.
• W4313255248 cites W2091449317 @default.
• W4313255248 cites W2092606478 @default.
• W4313255248 cites W2094609217 @default.
• W4313255248 cites W2094870730 @default.
• W4313255248 cites W2099665126 @default.
• W4313255248 cites W2100983336 @default.
• W4313255248 cites W2111051745 @default.
• W4313255248 cites W2112768365 @default.
• W4313255248 cites W2143221117 @default.
• W4313255248 cites W2143788402 @default.
• W4313255248 cites W2145558863 @default.
• W4313255248 cites W2176008306 @default.
• W4313255248 cites W2181051943 @default.
• W4313255248 cites W2216211183 @default.
• W4313255248 cites W2279857298 @default.
• W4313255248 cites W2284370535 @default.
• W4313255248 cites W2286280307 @default.
• W4313255248 cites W2328094354 @default.
• W4313255248 cites W2345534134 @default.
• W4313255248 cites W2465429755 @default.
• W4313255248 cites W2519921075 @default.
• W4313255248 cites W2522753920 @default.
• W4313255248 cites W2568081791 @default.
• W4313255248 cites W2570528684 @default.
• W4313255248 cites W2593630850 @default.
• W4313255248 cites W2606706417 @default.
• W4313255248 cites W2619529439 @default.
• W4313255248 cites W2767713173 @default.
• W4313255248 cites W2782199126 @default.
• W4313255248 cites W2782199659 @default.
• W4313255248 cites W2789434022 @default.
• W4313255248 cites W2794015972 @default.
• W4313255248 cites W2799523949 @default.
• W4313255248 cites W2803366142 @default.
• W4313255248 cites W2803720605 @default.
• W4313255248 cites W2805930386 @default.
• W4313255248 cites W2809399083 @default.
• W4313255248 cites W2817869752 @default.
• W4313255248 cites W2897565540 @default.
• W4313255248 cites W2900909382 @default.
• W4313255248 cites W2901435174 @default.
• W4313255248 cites W2909909131 @default.
• W4313255248 cites W2910415234 @default.
• W4313255248 cites W2911880699 @default.
• W4313255248 cites W2915064624 @default.
• W4313255248 cites W2941014970 @default.
• W4313255248 cites W2967870485 @default.
• W4313255248 cites W2974192765 @default.
• W4313255248 cites W2980288539 @default.
• W4313255248 cites W3015725325 @default.
• W4313255248 cites W3036251364 @default.
• W4313255248 cites W3092336417 @default.

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