Humanitarian Relief Supply Chain Performance Evaluation by a Scor Based Trapezoidal Type-2 Fuzzy Multi Criteria Decision Making Methodology: An Application in Turkey

Ayyildiz E., Taşkın A.

SCIENTIA IRANICA INTERNATIONAL JOURNAL OF SCIENCE & TECHNOLOGY, vol.29, no.4, pp.2069-2083, 2022 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 29 Issue: 4
  • Publication Date: 2022
  • Doi Number: 10.24200/sci.2020.52592.2786
  • Journal Name: SCIENTIA IRANICA INTERNATIONAL JOURNAL OF SCIENCE & TECHNOLOGY
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Aerospace Database, Aquatic Science & Fisheries Abstracts (ASFA), Arab World Research Source, Communication Abstracts, Compendex, Geobase, Metadex, zbMATH, Civil Engineering Abstracts
  • Page Numbers: pp.2069-2083
  • Keywords: Humanitarian relief supply chain, SCOR, Performance evaluation, Trapezoidal type-2 fuzzy numbers, AHP
  • Yıldız Technical University Affiliated: Yes

Abstract

Determining the most important criteria to evaluate Humanitarian Relief Supply Chain (HRSC) performance is aimed in this study. For this purpose, Supply Chain Operations Reference (SCOR) model is adapted to HRSC. A trapezoidal type-2 fuzzy Analytic Hierarchy Process (T2F-AHP) methodology is proposed to evaluate the criteria influencing the performance of the HRSC, and also evaluate different Non-Governmental Organizations’ performances operating in Turkey as a real case study. Results of this methodology is aimed to be used by both governmental and non-governmental organizations to improve their HRSC strategies. Lastly, results are discussed with sensitivity analysis to demonstrate the feasibility and applicability of the proposed methodology.