To reduce dependence on foreign sources of energy, address climate change, and improve environmental quality, the US government has established a goal of reducing petroleum fuel use in its federal agencies. To this end, the government requires its agencies to purchase alternative fuel vehicles, use alternative fuel, and adopt other strategies to reduce petroleum consumption. Compliance with these requirements, while important, creates challenges for federal fleet managers who oversee large, geographically dispersed fleets. In this study, a group of 25 experienced federal fleet managers participated in a pilot study using a structured methodology for developing strategies to comply with fleet requirements while using agency resources as efficiently as possible. Multi-criteria decision making (MCDM) methods were used to identify and quantify agency priorities in combination with a linear programming model to optimize the purchase of fleet vehicles. The method was successful in quantifying tradeoffs and decreasing the amount of time required to develop fleet management strategies. As such, it is recommended to federal agencies as a standard tool for the development of these strategies in the future. (C) 2010 Elsevier Ltd. All rights reserved.