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Journal of Information and Optimization Sciences cover
Hybrid ·Peer-reviewed·ISSN (Online): 2169-0103·ISSN (Print): 0252-2667

WoS  JIF 2026 : 0.4 (Q4)

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Monthly Journal: Publishes theoretical and applied research on topics in information and optimization sciences.

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Open Access Research Article

Optimizing resource allocation in disaster response : A multi-criteria decision-making approach using analytic hierarchy process

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pp. 2193–2204Vol. 47Issue 6June 2026DOI: 10.47974/JIOS-2103XML
Received:
02 Feb 2026
Published Online:
29 May 2026
Article type:
Research Article
Language:
EN
Article no.:
JIOS-2103
Pages:
2193–2204

Abstract

Efficient allocation of resources is essential in disaster response to reduce the adverse effects of catastrophic events and expedite recovery. The complexity of these situations requires strong decision-making methods that can handle multiple criteria and uncertainty. This article shows how the Analytic Hierarchy Process (AHP) might be employed to address resource allocation difficulties in disaster response. AHP is a method for decision-making that assesses and ranks different options based on specific criteria and their respective significance. It offers a structured method for decision-making by organizing problems hierarchically and using pairwise comparisons. Integrating AHP into resource allocation improves decision-making by offering a systematic framework to evaluate the Resource Allocation options based on various criteria. This article showcases how AHP may optimize resource allocation decisions.

Keywords

Subject Classifications

90B5090B3091B06

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