A multi-attribute decision support system for allocation of humanitarian cluster resources based on decision makers’ perspective

Simple item page
dc.contributor.authorRye, Sara
dc.contributor.authorAktas, Emel
dc.date.accessioned2022-10-25T13:55:53Z
dc.date.available2022-10-25T13:55:53Z
dc.date.issued2022-10-18
dc.description.abstractThe rush of the humanitarian suppliers into the disaster area proved to be counterproductive. To reduce this proliferation problem, the present research is designed to provide a technique for supplier ranking/selection in disaster response using the principles of utility theory. A resource allocation problem is solved using optimisation based on decision maker’s preferences. Due to the lack of real-time data in the first 72 h after the disaster strike, a Decision Support System (DSS) framework called EDIS is introduced to employ secondary historical data from disaster response in four humanitarian clusters (WASH: Water, Sanitation and Hygiene, Nutrition, Health, and Shelter) to estimate the demand of the affected population. A methodology based on multi-attribute decision making (MADM), Analytical Hierarchy processing (AHP) and Multi-attribute utility theory (MAUT) provides the following results. First a need estimation technique is put forward to estimate minimum standard requirements for disaster response. Second, a method for optimization of the humanitarian partners selection is provided based on the resources they have available during the response phase. Third, an estimate of resource allocation is provided based on the preferences of the decision makers. This method does not require real-time data from the aftermath of the disasters and provides the need estimation, partner selection and resource allocation based on historical data before the MIRA report is released.en_UK
dc.identifier.citationRye S, Aktas E. (2022) A multi-attribute decision support system for allocation of humanitarian cluster resources based on decision makers’ perspective. Sustainability, Volume 14, Issue 20, October 2022, Article number 13423en_UK
dc.identifier.issn2071-1050
dc.identifier.urihttps://doi.org/10.3390/su142013423
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/18601
dc.language.isoenen_UK
dc.publisherMDPIen_UK
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectdisaster responseen_UK
dc.subjectneed estimationen_UK
dc.subjectresource-baseden_UK
dc.subjectMADMen_UK
dc.subjectAHPen_UK
dc.subjectMAUTen_UK
dc.subjectutility theoryen_UK
dc.subjecthumanitarian clustersen_UK
dc.subjecthumanitarian supplyen_UK
dc.titleA multi-attribute decision support system for allocation of humanitarian cluster resources based on decision makers’ perspectiveen_UK
dc.typeArticleen_UK

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
allocation_of_humanitarian_cluster_resources-2022.pdf
Size:
1.16 MB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.63 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Staff publications (SoM)