Agent Performance in Vehicle Routing when the Only Thing Certain is Uncertainty (extended abstract)

In this paper we investigate whether a distributed agent-based planning approach indeed suffers less from job arrival uncertainty than a centralized optimization-based approach. In order to compare the two different approaches, we use the best available algorithms for both sides.

Agent Performance in Vehicle Routing when the Only Thing Certain is Uncertainty

While intermodal transport has the potential to introduce efficiency to the transport network, this transport environment also suffers from a lot of uncertainty at the interface of modes. For example, trucks moving containers to and from a port terminal are often uncertain as to when exactly their container will be released from the ship, from...

Incorporating Expert Knowledge in Decision Support for Logistics: Balancing Costs and Customer Relations

Decision support within transport companies should not only use traditional objective functions, but also reason about qualitative effects on all involved actors. We propose a fuzzy logic rule base that can be used in addition to traditional operation research tools to calculate not just optimal solutions, but solutions that are optimal with...