Titlebook: Approximate Dynamic Programming for Dynamic Vehicle Routing; Marlin Wolf Ulmer Book 2017 Springer International Publishing AG 2017 Operati

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https://doi.org/10.1007/978-3-658-02688-2ment for planning. We focus on routing in urban environments. The main purpose of this section is to give an overview of the important entities and underlying components in RVRPs as well as the most common objectives, constraints, and main drivers of uncertainty.

OREX

Siegfried G?n?len,Jürgen Dierolf,Udo Krauson is to incorporate a predictive lookahead model of future stochasticity and decision making in the solution approach. Further, we present a classification for approaches based on their degree of anticipation.

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Nachhaltigkeitsberichterstattungain reason for replanning is given by uncertain customer requests. Therefore, we consider a .. After a short motivation, we show how the problem is modeled, present a variety of solution methods with different degree of anticipation, and compare these methods in an extensive computational study.

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Die Prozessstufen der Risikoanalyset.?.. In Sect.?., we compare the approaches providing non-reactive anticipation with the offline reactive anticipatory ATB. We use the findings to analyze ATB in detail in Sect.?. and to compare ATB with the online reactive anticipatory approaches in Sect.?..

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結(jié)束

Strategieplanung und Monitoring,g problems (RVRPs) in Sect.?. focusing on uncertainty and replanning aspects. We briefly describe logistics management (LM) in Sect.?., embed (rich) vehicle routing in context of LM’s hierarchical planning in Sect.?., and present an overview on emerging developments and challenges inducing RVRPs in