Applying network flow optimisation techniques to minimise cost associated with flood disaster

Jàmbá: Journal of Disaster Risk Studies

Field Value
Title Applying network flow optimisation techniques to minimise cost associated with flood disaster
Creator Okonta, Simon D. Olaomi, John
Subject Statistics; Operation Research cost minimisation; disaster; flooding; stochastic programming; uncertainty; vulnerability.
Description Flooding disasters in most parts of the world has become worrisome to the government and to the humanitarian emergency organisations. In this article, the authors proffer a mathematical solution to minimise the cost of rescue operations, using stochastic programming of a multicommodity and multimodel network flow. In the formulation, the authors considered four supply depots: national centre depot (NCD), three local distribution centres (LDCs) and six points of distribution (PODs). Two vehicle types were helicopters by air and trucks by land. Three basic types of emergency relief materials include food, water and medical items. Three basic scenarios were mild, medium and severe situations with associated probabilities of 0.25, 0.5 and 0.25, respectively. The formulated model was solved using the LINGO software. The results show that the formulated model effectively reduced the cost of distribution during emergency rescue operation, as there was a thin line between demand and met demand. For the scope of this model, a minimised cost of about $1016673.37 is sufficient to carry out successful rescue operations.Contribution: The estimated amount of $1016673.37 becomes a benchmark for the government, research agencies and other developmental agencies for the purpose of planning. By using the air and road transport modes, and allowing direct and indirect transportation to the PODs, it saved time, resulting in many lives being saved.
Publisher AOSIS
Contributor university of south Africa, bursary Department
Date 2023-09-15
Type info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion — Documentary
Format text/html application/epub+zip text/xml application/pdf
Identifier 10.4102/jamba.v15i1.1444
Source Jàmbá: Journal of Disaster Risk Studies; Vol 15, No 1 (2023); 13 pages 1996-1421 2072-845X
Language eng
The following web links (URLs) may trigger a file download or direct you to an alternative webpage to gain access to a publication file format of the published article:
Coverage Disaster:Flooding African constant heavy rainfall Community
Rights Copyright (c) 2023 Simon D. Okonta, John Olaomi