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...

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Vydáno v:	Socio-economic planning sciences Ročník 70; s. 100727
Hlavní autoři:	Maharjan, Rajali, Hanaoka, Shinya
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Oxford Elsevier Ltd 01.06.2020 Elsevier Science Ltd
Témata:	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
On-line přístup:	Získat plný text
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