MIPLIB Truckload PDPTW Instances Derived from a Real-World Drayage Case

This paper describes five sets of 33 Mixed Integer Problem instances each, for a total of 165 instances, derived from a real-world full-truckload pick-up and delivery problem with time windows at the Port of Rotterdam. These instances represent 33 individual days of data encompassing 65 jobs and 40 trucks. We report, in this paper, on the...

Can agents measure up? A comparative study of an agent-based and on-line optimization approach for a drayage problem with uncertainty

Experiments studying the behavior of agent based methods over varying levels of uncertainty in comparison to traditional optimization methods are generally absent from the literature. In this paper we apply two structurally distinct solution approaches, an on-line optimization and an agent based approach, to a drayage problem with time windows...

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...