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Journal of Information and Optimization Sciences

(Since 1980)
Hybrid ·Peer-reviewed·ISSN (Online): 2169-0103·ISSN (Print): 0252-2667

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

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Journal of Information and Optimization Sciences
Open Access Research Article

Ensuring efficient health care delivery : Addressing uncertainties through mixed-constraints fractional transportation

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pp. 2107–2128Vol. 45Issue 8November 2024DOI: 10.47974/JIOS-1766XML
Received:
06 Feb 2024
Published Online:
18 Dec 2024
Article type:
Research Article
Language:
EN
Article no.:
JIOS-1766
Pages:
2107–2128

Abstract

Healthcare requires efficient delivery of supplies, but things often change unexpectedly. In the field of healthcare logistics, transportation efficiency plays a fateful role in ensuring the timely delivery of medical supplies, equipment, and personnel. However, the dynamic nature of the healthcare environment brings complexities, such as unexpected changes in demand, transportation disruptions, and differing priorities. This research highlights a novel approach to address these challenges through an innovative model designed for uncertain multi-objective fractional transportation problems with mixed constraints (UMOFTPMC), which aims to address the complexities of healthcare logistics and resource allocation has to be optimized. By integrating uncertain parameters and multiple objectives – such as minimizing transportation costs, maximizing service quality, and ensuring timely delivery – the proposed model provides a comprehensive approach to healthcare transportation management. Through a series of computational experiments and case studies, the efficacy of the mixed-constraint UMOFTPMC model in healthcare logistics is demonstrated by providing robust, efficient, and adaptable transportation solutions according to the unique demands and uncertainties underlying healthcare systems and exhibiting its ability to bring revolution. Using advanced computational methods and analyzing real-world scenarios, the study elucidates the complexities of healthcare transportation and proposes strategies to increase efficiency, adaptability, and flexibility in healthcare supply chain operations.

Keywords

Healthcare logisticsUncertain multi-objective fractional transportation problems (UMOFTP)Mixed constraintsSupply chain managementOptimizationCost minimizationDelivery time optimizationService qualityAdaptabilityFlexibilityComputational methodsReal-world scenarios

Subject Classifications

90C2990C3290C1590B9090B5090B06

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