Jörn Schönberger

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This article is about the enhancement of myopic online decision approaches for considering longer term planning goals in the management of logistic processes in a dynamically varying environment. By means of a demand peak we simulate a severe disruption of the environment of a transport system and show that a pure myopic scheduling strategy is not able to(More)
The paper investigates an online version of the vehicle routing problem with time windows, in which additionally arriving requests cause the revision of so far followed routes and schedules. An extended online optimization framework is proposed, which automatically adapts to problem variations and enables the explicit consideration of up-to-date knowledge(More)
We analyse a dynamic variant of the vehicle routing problem with soft time windows in which an average punctuality must be guaranteed (e.g. lateness is allowed at some customer sites). The existing objective function does not support both the aspiration for punctuality and least cost so that additional efforts are necessary to achieve an acceptable(More)