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Solving a new application of asymmetric TSP by modified migrating birds optimization algorithm
(Springer, 2023-07)
In this study, we first introduce a new application of the asymmetric traveling salesman problem which is about a small restaurant with one cook and a single stove. Once a meal has started cooking on the stove, the cook ...
Humanitarian relief distribution problem: an adjustable robust optimization approach
(Informs, 2023-07)
Management of humanitarian logistics operations is one of the most critical planning problems to be addressed immediately after a disaster. The response phase covers the first 12 hours after the disaster and is prone to ...
Healthcare inventory management in the presence of supply disruptions and a reliable secondary supplier
(Springer, 2023-12)
We study the inventory review policy for a healthcare facility to minimize the impact of inevitable drug shortages. Usually, healthcare facilities do not rely on a single source of supply, and alternative mechanisms are ...
Advancing home healthcare through machine learning: Predicting service time for enhanced patient care
(IEEE, 2023)
Providing healthcare services at home is crucial for patients who require long-term care or face mobility or other health-related constraints that prevent them from traveling to healthcare facilities. Effective data analysis ...
Post-disaster damage assessment using drones in a remote communication setting
(Springer, 2023)
After a disaster event, obtaining fast and accurate information about the damaged built-in structure is crucial for planning life-saving response operations. Unmanned aerial vehicles (UAVs), known otherwise as drones, are ...
Turkish cashier problem with time windows and its solution by Migrating bird optimization algorithm
(IEEE, 2023)
A new application of the traveling salesman problem referred to as the Turkish cashier problem (TCP) was recently introduced in literature. The problem revolved around a cashier that must visit several locations and return ...
A column generation-based approach for the adaptive stochastic blood donation tailoring problem
(Taylor & Francis, 2023)
Managing blood donations is a challenging problem due to the perishability of blood, limited donor pool, deferral time restrictions, and demand uncertainty. The problem addressed here combines two important aspects of blood ...
Multi-stage scenario-based stochastic programming for managing lot sizing and workforce scheduling at Vestel
(Springer, 2023-12)
This study proposes a multi-stage stochastic production planning approach for a joint lot sizing and workforce scheduling problem under demand uncertainty. Scenario trees are used to model uncertainty in demand, and a ...
Operations research approaches for improving coordination, cooperation, and collaboration in humanitarian relief chains: A framework and literature review
(Elsevier, 2023)
Given the considerable number of actors in the humanitarian space, coordination is essential for successful disaster response. Furthermore, the sheer size of challenges and limited resources increasingly highlight the need ...
A non-clustered approach to platelet collection routing problem
(Elsevier, 2023-12)
One of the blood components that can be extracted from whole blood is the platelet, which has a wide range of uses in medical fields. Due to the perishable nature of platelets, it is recommended that the separation occurs ...
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