Jana, S and Majumder, R and Menon, PP and Ghose, D (2022) Decision Support System (DSS) for Hierarchical Allocation of Resources and Tasks for Disaster Management. In: Operations Research Forum, 3 (3).
Full text not available from this repository.Abstract
After the occurrence of a natural disaster, it is of paramount importance to take efficient measures to reduce the casualties and damage to infrastructure. Resource allocation is a generic problem of assigning available resources to the affected areas to cope with the devastation caused by the disaster. To mitigate the deadly effect of a natural disaster, different resources are essential at the emergency sites. Disaster response activities also need the assignment of various critical tasks to be carried out by different emergency workers at the local level. The individual emergency locations convey their demands for resources and required services to the higher-level authorities. Depending on availability, the higher-level authority allocates resources through successive lower levels to the emergency sites. This paper proposes a model for the hierarchical flow of different resources during disaster management in the Indian context, from the top-level authority to the lower levels. This hierarchical architecture also incorporates the allocation of different essential tasks at the ground level to reduce the effect of a natural disaster locally.
| Item Type: | Journal Article |
|---|---|
| Publication: | Operations Research Forum |
| Publisher: | Springer International Publishing |
| Additional Information: | The copyright for this article belongs to the Springer International Publishing. |
| Keywords: | Decision Support System; Disaster Response; Flood Management; Hierarchical Allocation; Resource Allocation; Task Allocation |
| Department/Centre: | Division of Mechanical Sciences > Aerospace Engineering(Formerly Aeronautical Engineering) |
| Date Deposited: | 10 Aug 2022 05:39 |
| Last Modified: | 10 Aug 2022 05:39 |
| URI: | https://eprints.iisc.ac.in/id/eprint/75772 |
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