A Bayesian Approach to Operational Decisions in Transportation Businesses

May 2002

Proceedings of the Fifteenth International Florida Artificial Intelligence Research Society Conference (FLAIRS 2002)

Volume

Proceedings of the Fifteenth International Florida Artificial Intelligence Research Society Conference (FLAIRS 2002)

All Papers

The transportation business sector, along with many others, has not, to a large extent, evaluated the possibility of gaining advantages through the use of more elaborated decision tools for operational decision making. This article presents a case study where an interval based decision tool was used for transportation business applications. The investigation was made in collaboration with a well-established shipping company as well as a well-established haulage contractor. The tool used in this study utilizes a generalization of the principle of maximizing the expected utility, and is particularly suitable when a decision maker does not possess precise information of future scenarios and expected outcomes.