Authors:
Christophe Duhamel
1
;
Daniel Brasil
2
;
Andréa Cynthia Santos
3
;
Eric Châtelet
3
and
Babiga Birregah
3
Affiliations:
1
Université Blaise Pascal, France
;
2
Université de Technologie de Troyes and Universidade Federal de Minas Gerais, France
;
3
Université de Technologie de Troyes, France
Keyword(s):
Post-disaster Response, Logistics, Distribution, Resilience, Heuristics.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
e-Business
;
Enterprise Information Systems
;
Knowledge Discovery and Information Retrieval
;
Knowledge-Based Systems
;
Logistics
;
Mathematical Programming
;
Methodologies and Technologies
;
Operational Research
;
Optimization
;
Symbolic Systems
Abstract:
We consider the problem of setting a supplies distribution system in a post-disaster context. The primary decision variables correspond to the site opening schedule and the secondary variables focus on the supplies distribution to the population zones. The objective is to optimize the supply delivery to the population, while satisfying some logistics restrictions, both human and financial. We present a non-linear model and we propose a decomposition approach. The master level problem is addressed by NOMAD solver. The slave subproblem
is treated as a black-box and it is solved by a combination of two heuristics and a VND local search. Numerical results on both random instances and on one realistic instance, using several scenarios, shows our approach provides satisfactory results.