Auburn University - A Framework for Integrating Gurobi Optimization within Simio скачать в хорошем качестве

Auburn University - A Framework for Integrating Gurobi Optimization within Simio

Within discrete-event simulation, decisions are made using rule sets (such as dispatching) that are defined before each run. Some real-world systems have decisions that are difficult to model using this approach, which can lead to decisions that are locally "best," but are myopic with regards to the entire system. This presentation presents a technology framework that integrates the Gurobi optimization solver within a Simio model. Periodically during a run, Simio executes Gurobi to make a decision that considers the current state of the model. The result is then used inside the Simio model as it continues its run. Integrating these two technologies provides a modeling approach that retains both optimization's global decision-making and discrete-event simulation's ability to handle uncertainty and complexity.