EconPapers    
Economics at your fingertips  
 

On solving a healthcare supplier selection problem using MCDM methods in intuitionistic fuzzy environment

Santonab Chakraborty, Rakesh D. Raut, T. M. Rofin and Shankar Chakraborty ()
Additional contact information
Santonab Chakraborty: National Institute of Industrial Engineering
Rakesh D. Raut: National Institute of Industrial Engineering
T. M. Rofin: National Institute of Industrial Engineering
Shankar Chakraborty: Jadavpur University

OPSEARCH, 2024, vol. 61, issue 2, No 8, 680-708

Abstract: Abstract Presence of numerous competing suppliers along with conflicting evaluation criteria, increased participation and expectations of the stakeholders having varying interest, uncertainty in demand and supply, and lack and vagueness of information make healthcare supplier selection a challenging task which can be effectively solved with the application of multi-criteria decision making (MCDM) methods in fuzzy environment. This paper proposes a two-stage methodology for solving a supplier selection problem in the Indian healthcare scenario. Four efficient suppliers are first shortlisted from a pool of 25 candidate pharmaceutical suppliers using data envelopment analysis based on nine pivotal financial metrics. In the second stage, three MCDM techniques, in the form of weighted aggregated sum product assessment (WASPAS), combinative distance-based assessment (CODAS) and combined compromise solution (CoCoSo) are individually integrated with intuitionistic fuzzy (IF) set to identify the most apposite healthcare supplier on the basis of five qualitative criteria (cost, delivery time, service, quality and flexibility). It is interestingly noticed that all the adopted MCDM techniques behave similarly in selecting the best supplier in IF environment. A sensitivity analysis with respect to changing criteria weights is also carried out to search out the most robust IF-MCDM method.

Keywords: Healthcare; Supplier selection; MCDM; Decision making; Intuitionistic fuzzy set (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s12597-023-00733-1 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

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:spr:opsear:v:61:y:2024:i:2:d:10.1007_s12597-023-00733-1

Ordering information: This journal article can be ordered from
http://www.springer. ... search/journal/12597

DOI: 10.1007/s12597-023-00733-1

Access Statistics for this article

OPSEARCH is currently edited by Birendra Mandal

More articles in OPSEARCH from Springer, Operational Research Society of India
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:opsear:v:61:y:2024:i:2:d:10.1007_s12597-023-00733-1