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001005657 1001_ $$0P:(DE-HGF)0$$aHaseli, Gholamreza$$b0
001005657 245__ $$aSustainable resilient recycling partner selection for urban waste management: Consolidating perspectives of decision-makers and experts
001005657 260__ $$aAmsterdam [u.a.]$$bElsevier Science$$c2023
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001005657 520__ $$aIn sustainable waste supply chains, selecting recycling partners is an important factor in the decision-making process. Waste supply chains have undergone many fundamental modifications because of the rise of concepts such as sustainability, circular economy, and resilience. To overcome the current shortcomings of the literature on recycling partner selection only based on sustainability aspects, an evaluation framework is developed to address recycling partner selection by considering both sustainability and resilience factors. Although developing a sustainable and resilient evaluation framework improves the process of selecting recycling partners, the problem becomes very complex, and multidimensional decision-makers require reliable and accurate tools to make informed decisions. Multi-criteria decision-making (MCDM) methods are useful decision-making tools with high reliability to address problems under uncertainty. Although previous studies have developed several MCDM methods based on various uncertainty sets, the capability to support efficient and accurate group decision-making by decision-makers’ opinions and experts’ judgments has been a major disadvantage. Therefore, this study develops a novel decision-making approach using Z-numbers based on the best-worst method (Z-BWM) and a combined compromise solution (Z-CoCoSo). The proposed novel approach for addressing a sustainability and resilience management problem in an urban setting is demonstrated in a real-life case study using Tabriz, Iran as a case study. According to the results, net profit and the robustness of the waste supply chain are the most important criteria.
001005657 536__ $$0G:(DE-HGF)POF4-1112$$a1112 - Societally Feasible Transformation Pathways (POF4-111)$$cPOF4-111$$fPOF IV$$x0
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001005657 7001_ $$00000-0002-1012-4213$$aTorkayesh, Ali Ebadi$$b1
001005657 7001_ $$00000-0002-9988-2626$$aHajiaghaei-Keshteli, Mostafa$$b2$$eCorresponding author
001005657 7001_ $$0P:(DE-Juel1)164476$$aVenghaus, Sandra$$b3$$ufzj
001005657 773__ $$0PERI:(DE-600)2057709-6$$a10.1016/j.asoc.2023.110120$$gVol. 137, p. 110120 -$$p110120 -$$tApplied soft computing$$v137$$x1568-4946$$y2023
001005657 8564_ $$uhttps://juser.fz-juelich.de/record/1005657/files/Manuscript%20Revision%202.pdf$$yPublished on 2023-02-26. Available in OpenAccess from 2025-02-26.
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