A Combined Interval Type-2 Fuzzy MCDM Framework for the Resilient Supplier Selection Problem

Seyed Amirali Hoseini, Sarfaraz Hashemkhani Zolfani, Paulius Skačkauskas, Alireza Fallahpour and Sara Saberi
Additional contact information
Seyed Amirali Hoseini: Department of Industrial Engineering, Iran University of Science and Technology, Tehran 13114-16846, Iran
Sarfaraz Hashemkhani Zolfani: School of Engineering, Catholic University of the North, Larrondo 1281, Coquimbo 1240000, Chile
Paulius Skačkauskas: Department of Mobile Machinery and Railway Transport, Faculty of Transport Engineering, Vilnius Gediminas Technical University, 10105 Vilnius, Lithuania
Alireza Fallahpour: School of Mechanical Engineering, Universiti Teknologi Malaysia, Skudai 81310, Malaysia
Sara Saberi: Robert A. Foisie School of Business, Worcester Polytechnic Institute, Worcester, MA 01609-2280, USA

Mathematics, 2021, vol. 10, issue 1, 1-24

Abstract: Selecting the most resilient supplier is a crucial problem for organizations and managers in the supply chain. However, due to the inherited high degree of uncertainty in real-life projects, developing a decision-making framework in a crisp or fuzzy environment may not present accurate or reliable results for the managers. For this reason, it is better to evaluate the potential suppliers in an Interval Type-2 Fuzzy (IT2F) environment for better dealing with this ambiguity. This study developed an improved combined IT2F Best Worst Method (BWM) and IT2F technique for Order Preference by Similarity to Ideal Solution (TOPSIS) model “Atieh Sazan” Co. as a case study, such that the IT2FBWM was employed for obtaining the weight of criteria. The IT2FTOPSIS was utilized for ranking the potential suppliers based on Hamming distance measure. In both phases, the opinions of experts as IT2F linguistic terms were employed for weighting the criteria and obtaining the relative importance of the alternatives in terms of the evaluative criteria. After obtaining the final results, the proposed model was validated by replacing Analytical Hierarchy Process (AHP) and Simple Additive Weighting (SAW) approaches separately instead of BWM for weighting the criteria. After executing both new models, it was found that the final ranking was similar to the final ranking of the proposed model, representing the reliability and accuracy of the obtained results. Moreover, it was concluded that the resilient criteria of “Reorganization” and “Redundancy” are the most determinant measures for selecting the best supplier rather than measures in the Iranian Construction Industry.

Keywords: resilient supplier selection; interval type-2 fuzzy set; multiple criteria decision making (MCDM); BWM; TOPSIS (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2021
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/2227-7390/10/1/44/pdf (application/pdf)
https://www.mdpi.com/2227-7390/10/1/44/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jmathe:v:10:y:2021:i:1:p:44-:d:709767

Access Statistics for this article

Mathematics is currently edited by Ms. Emma He

More articles in Mathematics from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().