Researchers examined problems related to the timing and scheduling of surgeries and patients' stays in recovery units. In ...

The seemingly unpredictable, and thereby uncontrollable, dynamics of living organisms have perplexed and fascinated ...

A novel parallel decomposition algorithm is developed for large, multistage stochastic optimization problems. The method decomposes the problem into subproblems that correspond to scenarios. The ...

In collaboration with a hospital, researchers examined problems related to the timing and scheduling of surgeries and patients’ stays in recovery units. They developed an integrated elective surgery ...

In collaboration with a hospital, researchers examined problems related to the timing and scheduling of surgeries and patients' stays in recovery ...

In particular, the analysis shows that interventions may be more beneficial when adjusted in relation to the herd immunity ...

Quantum computing delivered better performance than classical computing for this application, but still needs refining before ...

It's here that the three-pronged strategy enters the picture.

Scientists have developed a new optimization approach that combines both day-ahead optimization and real-time optimization to improve operations of PV-driven EV charging stations. The framework is ...

This is where Process Optimization with Simulation emerges as a critical tool, offering a powerful way to model, analyze, and ...

Large language models (LLMs) have revolutionized the AI landscape, demonstrating remarkable capabilities across a wide range ...