چکیده مقاله
This paper addresses the optimization of e health systems under uncertainty through a robust optimization framework The study focuses on the efficient allocation of server resources using a Mixed Integer Linear Programming MILP model that accounts for request uncertainty The proposed model minimizes operational costs while ensuring critical requests are prioritized, utilizing heterogeneous servers, including RAM optimized, CPU optimized, and emergency servers Numerical results and sensitivity analysis demonstrate the model's effectiveness in handling varying request patterns, providing a cost efficient and reliable solution for e health information systems
کلیدواژهها
نویسندگان
Alireza Alibakhshi
Industrial Engineering Department, Sharif University of Technology, Tehran, Iran
Saeed Anbari Moghadam
Industrial and Systems Engineering, Tarbiat Modarres University, Tehran, Iran
Erfan Hassannayebi
Industrial Engineering Department, Sharif University of Technology, Tehran, Iran
شیوه ارجاع
Alibakhshi, Alireza and Anbari Moghadam, Saeed and Hassannayebi, Erfan,1403,Robust Optimization of e-Health Systems Under Uncertainty,The 10th International Conference on Industrial and Systems Engineering,Mashhad
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