Semih Atakan

Learn More
The vast majority of the machine scheduling literature focuses on deter-ministic problems, in which all data is known with certainty a priori. This may be a reasonable assumption when the variability in the problem parameters is low. However, as variability in the parameters increases incorporating this uncertainty explicitly into a scheduling model is(More)
In this paper, we present an MIP formulation for the Unit Commitment problem that leads to significant computational time savings and almost-integral solutions when compared to the state-of-the-art formulations in the literature. Using a variety of test instances from the literature, we provide empirical evidence that the polyhedral structure of the new(More)
In this study, we introduce a distribution network design problem that determines the locations and capacities of the relief distribution points in the last mile network, while considering demand-and network-related uncertainties in the post-disaster environment. The problem addresses the critical concerns of relief organizations in designing last mile(More)
  • 1