Titlebook: Computational Logistics; 4th International Co Dario Pacino,Stefan Vo?,Rune M?ller Jensen Conference proceedings 2013 Springer-Verlag Berlin

Impugn

0302-9743 his volume were carefully reviewed and selected for inclusion in the book. They are organized in topical sections named: maritime shipping, road transport, vehicle routing problems, aviation applications, and logistics and supply chain management.978-3-642-41018-5978-3-642-41019-2Series ISSN 0302-9743 Series E-ISSN 1611-3349

MARS

https://doi.org/10.1007/978-94-017-3169-0ave the possibility of meeting and parking at the vertices and continue the journey sharing a car. We examine the computational complexity of the problem. Among other things, we show that the problem is APX-complete for the realistic setting where the cars have capacity 4 even restricted to undirected graphs where all edges have cost 1.

Champion

Studies in Applied Econometricsed number of days, that minimizes a linear combination of the total traveled distance as well as the total waiting time. We present a mixed integer linear programming (MILP) model for the problem and propose a heuristic approach to solve it. Computational experiments address two real world problems that arise in different practical contexts.

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The Decline and Fall of Existentialism,oposed to solve this problem. Computational studies are carried out to identify the potential of cost-savings through CTP and to analyze the influence of the degree of dynamism of instances on the planning results.

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https://doi.org/10.1007/978-3-642-51701-3pecified and which can consider direct as well as connecting flights. In a simulation study we demonstrate the efficiency and the advantage of this model over models established in practice where the optimal solution has to be adapted to the pricing schema, i.e prices have to be rounded and capacities have to be split.

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Werner B?ge,Malte Faber,Werner Güth an integrated approach is introduced for supporting the planning by a better data acquisition in order to provide reliable results at an affordable effort using simulation techniques. Therefore, complex event processing is used to gather real-time data and provides the data as service profiles for simulation.