A multi-tier sustainable food supplier selection model under uncertainty
Morteza Yazdani,
Dragan Pamucar,
Prasenjit Chatterjee () and
Ali Ebadi Torkayesh
Additional contact information
Morteza Yazdani: ESIC Business & Marketing School
Dragan Pamucar: University of Defense in Belgrade
Prasenjit Chatterjee: MCKV Institute of Engineering
Ali Ebadi Torkayesh: ICRON Technologies
Operations Management Research, 2022, vol. 15, issue 1, No 7, 116-145
Abstract:
Abstract Supplier selection in food supply chains (FSCs) is not much explored due to the inherent difficulties, complexities and nature of food industry. Food security and quality are top row topics in today’s world health scenario. During sudden food crisis, it needs extra attention where producers, suppliers, and stakeholders play the most vital roles. This paper puts forward a two-phase sustainable multi-tier supplier selection model for FSC based on an integrated decision analysis under multi-criteria perspectives considering sustainability criteria, suppliers and sub-suppliers. In the first phase, the model estimates supplier selection criteria weights using a combined version of step-wise weight assessment ratio analysis (SWARA) and level based weight assessment (LBWA) in conjunction with D-numbers. In the second phase, Measurement of Alternatives and Ranking according to the COmpromise Solution (MARCOS)-D method is applied to obtain a ranking pre-order of different tier suppliers. Moreover, several sensitivity analyses are carried out in order to examine model reliability. To check application practicability, the proposed model is implemented in a case study of WineSol Corporation in Spain. The proposed model is expected to serve as a kickoff point for developing advanced decision-making models for effectually address multi-tier supplier selection problems under uncertain environment.
Keywords: Sustainable food supplier selection; Multi-tier supply chain; Uncertainty; D-numbers; Integrated weight; MARCOS (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
http://link.springer.com/10.1007/s12063-021-00186-z 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:opmare:v:15:y:2022:i:1:d:10.1007_s12063-021-00186-z
Ordering information: This journal article can be ordered from
http://www.springer.com/journal/12063
DOI: 10.1007/s12063-021-00186-z
Access Statistics for this article
Operations Management Research is currently edited by Jan Olhager and Scott Shafer
More articles in Operations Management Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().