Abstract
State-of-the-art planning systems for routing in logistics allow for automatic processing of customer orders, considering a large variety of constraints and operational conditions. As a core feature, they support automated planning by optimization procedures. Planning systems rely on tailored input data, which are commonly assumed to be available as required by optimization procedures. If input data sets become more complex, efficiency of optimization procedures decreases or optimization procedures are not even able to consider such data, respectively. The provision of input data according to the requirements of optimization procedures is usually neglected.
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© 2012 Springer Science+Business Media New York
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Ehmke, J.F. (2012). Provision of Distance Matrices. In: Integration of Information and Optimization Models for Routing in City Logistics. International Series in Operations Research & Management Science, vol 177. Springer, Boston, MA. https://doi.org/10.1007/978-1-4614-3628-7_6
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DOI: https://doi.org/10.1007/978-1-4614-3628-7_6
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Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4614-3627-0
Online ISBN: 978-1-4614-3628-7
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