Stratified hybrid decision model with constrained attributes: recycling facility location for urban healthcare plastic waste

Official URL: https://dx.doi.org/10.1016/j.scs.2021.103543

For efficient management of plastic waste in urban healthcare environment, the development of in-depth solutions considering all possible effective factors is required. Recycling plastic waste of healthcare centers has become an essential process for urban regions considering environmental, economic, and social issues. In this regard, recycling facility location selection is a multi-dimensional decision-making problem that can be addressed with the support of MCDM. Although traditional MCDM techniques have usually focused on benefit and cost attributes, in real-life practices, decision-makers in environmental sectors have shown a high tendency to consider specific constraints on attributes according to real-life standards. To address the recycling location selection problem with a practical solution, this study proposed a novel hybrid constrained decision-making model that integrates the hierarchical stratified best-worst method (H-SBWM) with the constrained combined compromise solution (CoCoSo) and the constrained weighted aggregated sum product assessment (WASPAS) methods, called H-SBWM-C-CoCoPAS. To examine the proposed approach, a case study is investigated for six location candidates in Istanbul under technical and sustainability aspects. The research findings show that the most important criterion for recycling facility location selection is carbon footprint with the weight coefficient of 0.1757. Also, the Pendik district is the best location for opening a recycling center in the Istanbul.