| dc.description.abstract | The provision of water is crucial since it is a vital need following a disaster.
Transporting relief supplies, particularly water, can take many different
forms. Although bottled water can be easily distributed, getting it from
outside to afflicted communities can be expensive. Bulk water can be
acquired by water purification devices or naturally occurring sources,
however this tactic necessitates that the survivors have a container. There
are trade-offs between the logistics expenses and modes of transportation
needed for the two distinct categories of water resources, which are
frequently disregarded in the literature.This thesis makes use of the social
cost vehicle routing problem. This is a mathematical model that uses the
objective function's social costs to determine the delivery, routing, and
transportation formats. Owing to the problem's NP-hardness, a novel
metaheuristic method is created and applied to solve instances of the issue
via local search. Three algorithms are employed: tabu search(TS), simulated
annealing(SA) and variable neighborhood search (VNS) . This approach
was used to distribute water following the 2020 Vietnam floods. In order to
reduce response costs, this strategy was developed in the instance of
providing survivors with bottled and bulk water. | en_US |
