A fuzzy AHP-TOPSIS approach to supply partner selection in continuous aid humanitarian supply chains

V. G. Venkatesh (), Abraham Zhang (), Eric Deakins (), Sunil Luthra () and S. Mangla ()
Additional contact information
V. G. Venkatesh: The University of Waikato
Abraham Zhang: Auckland University of Technology (AUT) Business School
Eric Deakins: The University of Waikato
Sunil Luthra: State Institute of Engineering & Technology (Formerly known as Government Engineering College)
S. Mangla: University of Plymouth

Annals of Operations Research, 2019, vol. 283, issue 1, No 58, 1517-1550

Abstract: Abstract The selection of suitable supply partners is a strategic issue for managers working in humanitarian operations and has received little attention in the literature. In humanitarian operations, complexity characterizes the continuous-aid procurement operations, and the selection criteria can differ from those used in commercial supply chain settings. This paper advances knowledge by introducing a supply partner selection framework for continuous-aid procurement. A proposed multi-criteria decision-making model uses selection criteria attributes verified by the extant literature and by field experts. A fuzzy Analytic Hierarchy Process is then used to compute criterion weights, and a fuzzy Technique for Order Performance by Similarity to Ideal Solution is used to rank supply partner alternatives. Even with elevated levels of subjectivity, these techniques enable humanitarian operation stakeholders to select the best supply partner effectively. An actual case illustrates how the proposed framework efficiently identifies the most suitable continuous-aid supply partner for the prevailing situation.

Keywords: Supplier selection; AHP; TOPSIS; Humanitarian supply chain; Humanitarian logistics; Multi-criteria decision-making (MCDM); Disaster relief chain (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (21)

Downloads: (external link)
http://link.springer.com/10.1007/s10479-018-2981-1 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:annopr:v:283:y:2019:i:1:d:10.1007_s10479-018-2981-1

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10479

DOI: 10.1007/s10479-018-2981-1

Access Statistics for this article

Annals of Operations Research is currently edited by Endre Boros

More articles in Annals of Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().