Senay Solak

TL;DR: This work develops a detailed formal description of project portfolio management as a multistage stochastic integer program with endogenous uncertainty, and proposes an efficient solution approach, which involves the development of a formulation technique that is amenable to scenario decomposition.

TL;DR: An optimization model for generating speed trajectories that minimize the fuel expended to avoid conflicts is developed that can be solved in near real-time for large number of aircraft.

TL;DR: An optimization model is developed to identify the required heading and speed changes of aircraft to avoid conflict such that fuel costs are minimized, and shows that fuel-optimal conflict-resolution maneuvers can be identified in near real time.

TL;DR: This paper introduces the stop-and-drop problem (SDRP), a new variant of location-routing problems, that is mostly applicable to nonprofit food distribution networks, and proposes two Benders decomposition-based solution procedures, namely a linear programming relaxation based Benders implementation and a logic-based Bender decomposition heuristic.

TL;DR: A framework that combines economics and decision analysis to implement probabilistic data on energy technology research and development policy in response to global climate change is provided and it is found that, given a budget constraint, the composition of the optimal R&D portfolio is highly diversified and robust to risk in climate damages.