This research examines state clustering in Markov Decision processes, specifically addressing the problem referred to as Markov Decision process with restricted observations. The general problem is a special case of a Partially Observable Markov Decision process where the state space is...

In this thesis, three procurement policies (Backup Policy, Blend Policy, and Partial Order Policy) are considered and evaluated using a Discrete Time Markov Decision Process. The following factors were analyzed: retailer's demand distribution, holding cost, purchasing cost and supplier's...

This dissertation develops a new methodology and associated solution tools toachieve optimal operations and maintenance strategies for wind turbines, helpingreduce operational costs and enhance the marketability of wind generation. Theintegrated framework proposed includes two optimization...