This thesis focuses on increasing the efficiency of systems with cross-trained workforce and finite storage spaces. Our objective is to maximize the throughput and minimize the setup costs (if they exist). More specifically, we are interested in determining effective cross-training strategies...

We propose a mathematical framework that integrates low-level sensory signals from monitoring engineering systems and their components with high-level decision models for maintenance optimization. Our objective is to derive optimal adaptive maintenance strategies that capitalize on condition...

Risk attitudes are important for human decision making, especially in scenarios where huge wins or losses are possible, as exemplified by planetary rover navigation, oilspill response, and business applications. Decision-theoretic planners therefore need to take risk aspects into account to...

This research focuses on Markov Decision Processes (MDP). MDP is one of the most important and challenging areas of Operations Research. Every day people make many decisions: today's decisions impacttomorrow's and tomorrow's will impact the ones made the day after. Problems in Engineering,...

Thesis (Ph. D.)--University of Rochester. William E. Simon Graduate School of Business Administration, 2009.

This paper studies the empirical effects of risk classification in the mandatory third-party motor insurance of Germany following the European Union’s directive to de-regulate insurance tariffs of 1994. We find evidence that inefficient risk categories had been selected while potentially...