EconPapers    
Economics at your fingertips  
 

Emergency logistics planning under supply risk and demand uncertainty

Abdul Sattar Safaei (), Saba Farsad and Mohammad Mahdi Paydar
Additional contact information
Abdul Sattar Safaei: Babol Noshirvani University of Technology
Saba Farsad: Babol Noshirvani University of Technology
Mohammad Mahdi Paydar: Babol Noshirvani University of Technology

Operational Research, 2020, vol. 20, issue 3, No 11, 1437-1460

Abstract: Abstract One of the most important issues in the crisis management is to supply and deliver the correct type and quantity of relief items in a dynamic environment of crisis situations. Current research presented a novel bi-objective bi-level optimization model in order to design an integrated framework for relief logistics operations. The Upper level objectives are to minimize total operational cost and total unsatisfied demand considering the effect of distribution locations of relief supplies. The lower level in the hierarchical decision process, proposes suppliers with lower supply risk. The proposed nonlinear model is reformulated as a single-level linear problem, and for the upper-level decision, the goal programming (GP) approach is employed for the exact solution of the model to minimize deviations from the goals of the bi-objective problem. Finally, a case study of emergency planning for earthquake disaster verifies the performance of the presented model.

Keywords: Emergency logistics; Bi-objective; Bi-level optimization; Supply risk (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

Downloads: (external link)
http://link.springer.com/10.1007/s12351-018-0376-3 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:20:y:2020:i:3:d:10.1007_s12351-018-0376-3

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

DOI: 10.1007/s12351-018-0376-3

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 () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:operea:v:20:y:2020:i:3:d:10.1007_s12351-018-0376-3