EconPapers    
Economics at your fingertips  
 

A bi-objective blood supply chain model under uncertain donation, demand, capacity and cost: a robust possibilistic-necessity approach

Javid Ghahremani-Nahr (javid.ghahremani@yahoo.com), Ramez Kian (ramez.kian@ntu.ac.uk), Ehsan Sabet (e.sabet@lboro.ac.uk) and Vahid Akbari (vahid.akbari@nottingham.ac.uk)
Additional contact information
Javid Ghahremani-Nahr: Culture and Research (ACECR)
Ramez Kian: Nottingham Trent University
Ehsan Sabet: Loughborough University
Vahid Akbari: University of Nottingham

Operational Research, 2022, vol. 22, issue 5, No 3, 4685-4723

Abstract: Abstract This paper addresses a multi-objective blood supply chain network design, considering economic and environmental aspects. The objective of this model is to simultaneously minimize a blood supply chain operational cost and its logistical carbon footprint. In order to embed the uncertainty of transportation costs, blood demand, capacity of facilities and carbon emission, a novel robust possibilistic-necessity optimization used regarding a hybrid optimistic-pessimistic form. For solving our bi-objective model, three multi-objective decision making approaches including LP-metric, Goal-Programming and Torabi- Hassini methods are examined. These approaches are assessed and ranked with respect to several attributes using a statistical test and TOPSIS method. Our proposed model can accommodate a wide range of decision-makers’ viewpoints with the normalized objective weights, both at the operational or strategic level. The trade-offs between the cost and carbon emission for each method has been depicted in our analyses and a Pareto frontier is determined, using a real case study data of 21 cities in the North-West of Iran considering a 12-month implementation time window.

Keywords: Blood supply-chain; Multi-objective; Robust; Fuzzy; Possibilistic–Necessity model (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
http://link.springer.com/10.1007/s12351-022-00710-4 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:operea:v:22:y:2022:i:5:d:10.1007_s12351-022-00710-4

Ordering information: This journal article can be ordered from
https://www.springer ... search/journal/12351

DOI: 10.1007/s12351-022-00710-4

Access Statistics for this article

Operational Research is currently edited by Nikolaos F. Matsatsinis, John Psarras and Constantin Zopounidis

More articles in Operational Research from Springer
Bibliographic data for series maintained by Sonal Shukla (sonal.shukla@springer.com) and Springer Nature Abstracting and Indexing (indexing@springernature.com).

 
Page updated 2024-12-28
Handle: RePEc:spr:operea:v:22:y:2022:i:5:d:10.1007_s12351-022-00710-4