In this paper, we study a dynamic fleet management problem with uncertain demands and customer chosen service levels. We first show that the problem can be transformed into a dynamic network with partially dependent random arc capacities, and then develop a structural decomposition approach...

This article explores adaptive management (AM) for decision-making under environmental uncertainty. In the context of targeting invasive species inspections of agricultural imports, I find that risk aversion increases the relative value of AM and can increase the rate of exploratory action....

Multistage dynamic networks with random arc capacities (MDNRAC) have been successfully used for modeling various resource allocation problems in the transportation area. However, solving these problems is generally computationally intensive, and there is still a need to develop more efficient...