Titlebook: Computational Logistics; Second International Jürgen W. Böse,Hao Hu,Stefan Voß Conference proceedings 2011 Springer-Verlag GmbH Berlin Heid

得意人

Studien zur Schul- und Bildungsforschungsearch opportunities in particular with respect to the use of information systems and modern communication and information technology (IT) for planning and control of container flows and alternative reuse of containers.

helper-T-cells

Vera Wieser,Elena Gaertner,Christin Böttcherithout changing the order policies of such systems one may reduce outdating and shortages by issuing the products in a sophisticated way. We present therefore a stochastic model that is solved by stochastic dynamic programming.

放牧

Excise

Combinatorial Auctions in Freight Logisticsvironment of less-than-truckload (LTL) carriers. We provide experimental results for both generated and real-life data that show significant savings and are often close to a heuristic solution for the global optimization problem. We study how bundling and restricting the number of submitted bids affect the solution quality.

阻止

执

A Cross Entropy Multiagent Learning Algorithm for Solving Vehicle Routing Problems with Time Windowsentropy approach. Moreover, this method needs only very small number of parameter settings. Its implementation is also relatively simple and flexible to solve other vehicle routing problems under various dynamic scenarios.

BRINK

Optimization of Infectious Medical Waste Collection Using RFIDted approach is tested on real-world data from the region of Provence-Alpes-Côte d’Azur, in France. The results for different waste collection scenarios are analyzed and compared in order to evaluate the performance of the proposed solution method.

Anthem

遭遇

Optimal Issuing of Perishables with a Short Fixed Shelf Lifeithout changing the order policies of such systems one may reduce outdating and shortages by issuing the products in a sophisticated way. We present therefore a stochastic model that is solved by stochastic dynamic programming.

dominant

A Three-Level Hierarchical Workload Management Scheme for Yard Cranes in Container Terminalsnt at level 1. We compare the performance of the three-level hierarchical scheme in terms of average job waiting times and the average number of overflow jobs at the end of each planning window under the two distribution strategies.