N-type-2-ARAS: An efficient hybrid multi-criteria optimization approach for end-of-life vehicle's recycling facility location: A sustainable approach

  • Ahmed M. Ali
  • , Mohamed Abdel-Basset
  • , Mohamed Abouhawwash*
  • , Mona Gharib
  • , Mona Mohamed
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

End-of-life vehicle (ELV) management is currently one of the most pressing environmental issues. Waste must be recycled to ensure that ELV management is both environmentally and economically sustainable. Cairo boasts the greatest percentage of Egyptian citizens who own a car and the country's oldest automotive fleet. There is a great desire to open a new ELV recycling factory in this city. One of the most difficult strategic issues facing decision-makers is determining where to build new facilities. ELV recycling facility selection is a multi-criteria and highly uncertain challenge, and this research presents a novel approach to help with the process. An extension of the Additive Ratio Assessment (ARAS) approach in a neutrosophic type-2 environment ((N-type-2 ARAS)) is described for the first time. The new approach (N-type-2 ARAS) is used to choose an ELV recycling facility location. The proposed N-type-2 ARAS method's potential and applicability are illustrated in the context of a real-life case study in Egypt. This study used five main criteria, twenty sub-criteria, and four alternatives (locations) to select the best location. The results show that Luxor is the best location. This method has been proven reliable and consistent compared to the current state-of-the-art interval type-2 fuzzy set-based MCDM methods. This study's sensitivity analysis was conducted to show rank stability from the (N-type-2 ARAS) methodology.

Original languageEnglish
Article number123873
JournalExpert Systems with Applications
Volume250
DOIs
StatePublished - 15 Sep 2024
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2024

Keywords

  • ARAS
  • End-of-life vehicle
  • MCDM
  • Neutrosophic type-2
  • Recycling facility location

ASJC Scopus subject areas

  • General Engineering
  • Computer Science Applications
  • Artificial Intelligence

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