Humanitarian relief supply chain performance evaluation by a SCOR based Trapezoidal type-2 fuzzy multi-criteria decision making methodology: An application to Turkey

AYYILDIZ E., TAŞKIN A.

SCIENTIA IRANICA, 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
  • 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, ANALYTIC HIERARCHY PROCESS, LOGISTICS, SELECTION, MODEL, AHP, MANAGEMENT, LOCATION, FRAMEWORK, IDENTIFY, SYSTEM
  • Karadeniz Technical University Affiliated: Yes

Abstract

Determining the most important criteria to evaluate the performance of a Humanitarian Relief Supply Chain (HRSC) is aimed in this study. For this purpose, the Supply Chain Operations Reference (SCOR) model was adapted in the HRSC. A trapezoidal Type-2 Fuzzy Analytic Hierarchy Process (T2F-AHP) methodology was developed to evaluate the criteria influencing the performance of the HRSC as well as the performance of different Non-Governmental Organizations (NGOs) operating in Turkey as a real case study. Results of this methodology can be used by both governmental and NGOs to improve their HRSC strategies. The results underwent a sensitivity analysis to identify the feasibility and applicability of the proposed methodology. (C) 2022 Sharif University of Technology. All rights reserved.