Autonomous decision model adaptation and the vehicle routing problem with time windows and uncertain demand

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Abstract

The instruction of resources in logistic systems in order to ensure an effective as well as efficient usage is a very sophisticated task. At lot of data and requirements have to be considered simultaneously. For this reason computerized decision support (Makowski 1994) is strongly recommended (Bramel and Simchi-Levi 1997; Crainic and Laporte 1998). © 2007 Springer-Verlag Berlin Heidelberg.

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Schönberger, J., & Kopfer, H. (2007). Autonomous decision model adaptation and the vehicle routing problem with time windows and uncertain demand. In Understanding Autonomous Cooperation and Control in Logistics: The Impact of Autonomy on Management, Information, Communication and Material Flow (pp. 139–161). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-540-47450-0_10

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