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@ARTICLE{Haseli:1005657,
      author       = {Haseli, Gholamreza and Torkayesh, Ali Ebadi and
                      Hajiaghaei-Keshteli, Mostafa and Venghaus, Sandra},
      title        = {{S}ustainable resilient recycling partner selection for
                      urban waste management: {C}onsolidating perspectives of
                      decision-makers and experts},
      journal      = {Applied soft computing},
      volume       = {137},
      issn         = {1568-4946},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier Science},
      reportid     = {FZJ-2023-01588},
      pages        = {110120 -},
      year         = {2023},
      abstract     = {In 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.},
      cin          = {IEK-STE},
      ddc          = {004},
      cid          = {I:(DE-Juel1)IEK-STE-20101013},
      pnm          = {1112 - Societally Feasible Transformation Pathways
                      (POF4-111)},
      pid          = {G:(DE-HGF)POF4-1112},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000995927400001},
      doi          = {10.1016/j.asoc.2023.110120},
      url          = {https://juser.fz-juelich.de/record/1005657},
}