A credibility-based multi-objective temporary logistics hub location-allocation model for relief supply and distribution under uncertainty

Disaster response operations revolve around uncertainties. While uncertainties arising due to randomness can be avoided for post-disaster location problem, those arising because of impreciseness may persist long after the disaster's occurrence. Despite the uncertainties and lack of sufficient i...

Full description

Saved in:

Bibliographic Details
Published in:	Socio-economic planning sciences Vol. 70; p. 100727
Main Authors:	Maharjan, Rajali, Hanaoka, Shinya
Format:	Journal Article
Language:	English
Published:	Oxford Elsevier Ltd 01.06.2020 Elsevier Science Ltd
Subjects:	Allocation Attainment Credibility Decision making Disaster relief Disasters Emergency preparedness Epistemic uncertainty Facility location-allocation problem Fuzzy chance-constrained programming Fuzzy logic Humanitarian supply chain Logistics Multi-objective optimization Objectives Randomness Sensitivity analysis Subjectivity Temporary logistics hub Uncertainty Temporary logistics hub Fuzzy chance-constrained programming Epistemic uncertainty Multi-objective optimization Humanitarian supply chain Facility location-allocation problem
ISSN:	0038-0121, 1873-6041
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!