Akademik Veri Yönetim Sistemi
International Conference on Multidisciplinary Sciences and Technological Developments (ICMUSTED), Erzurum, Türkiye, 13 - 15 Aralık 2024, ss.189-196
Recent global crises, particularly the COVID-19 pandemic, have exposed significant vulnerabilities in medical supply chains (MSCs), underscoring the necessity for resilient strategies to manage demand fluctuations and disruptions. This study addresses the resilient MSC network design problem under demand uncertainty. To tackle this problem, a robust optimization model is proposed, aiming to maximize the total quantity of medical products delivered to hospitals. The model incorporates supplier and warehouse opening and allocation decisions using a risk-averse approach that ensures reliable delivery while managing operational costs. Small-sized instances of the problem are solved using GAMS 24.7/CPLEX. Computational results reveal that increasing the the level of robustness enhances the MSC resilience but leads to higher costs due to additional resource allocation. These findings provide strategic insights into designing MSC networks that balance cost-effectiveness and resilience, ensuring uninterrupted delivery of critical medical supplies during crises.