An interval type-2 fuzzy sets based Delphi approach to evaluate site selection indicators of sustainable vehicle shredding facilities

This study aims to rank indicators affecting site selection of vehicle shredding facilities using an interval type-2 fuzzy sets based Delphi approach. The introduced methodology consists of four consecutive stages as follows: indicator identification, questionnaire (survey), decision-making analysis, and statistical analysis and indicator classification. In the first stage, the literature searches are performed on vehicle shredding facility location and forty-eight relevant indicators are determined. In the second stage, a questionnaire has been conducted to collect the preferences of relevant international experts from different countries regarding the indicators. Then, the importance of site selection indicators is obtained to define critical, medium, and uncritical indicators. In the last stage, the analysis are carried out to make a distinction between groups of participants who respond similarly and discover viewpoints from the industry and academia. The research findings show that the most important indicator for locating vehicle shredding facilities is a financial benefit. Critical indicators, which should be taken into account when locating vehicle shredding facilities, are acquisition cost, affected population, demand fluctuations, end-of-life vehicle policy, financial benefit, land availability, operational costs, recycling system, resource accessibility, and safety management. (C) 2022 Elsevier B.V. All rights reserved.

Automated summary

This study ranks and classifies the indicators affecting the site selection of vehicle shredding facilities using a Delphi approach based on interval type-2 fuzzy sets. The results show that financial benefit is the most important indicator, and critical indicators include acquisition cost, affected population, and demand fluctuations.