Nowadays, operations research and decision support approaches are increasingly faced with the consideration of uncertainties and chronic disruptions, as well as occasional ones. These include data from information systems and sensors, along with uncertainties and variability in input data, and the dynamic properties of optimization problems, such as flexibility, resilience, and responsiveness. Furthermore, the data, constraints, and objective function may not remain stationary nor fully known; they ...
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