Abstract
This paper focuses on a special case of vehicle routing problem where perishable goods are considered. Deliveries have to be performed until a due date, which may vary for different products. Storing products is prohibited. Since late deliveries have a direct impact on the revenues for these products, a precise demand prediction is important. In our practical case the product demands and vehicle driving times for the product delivery are dependent on weather conditions, i.e., temperatures, wind, and precipitation. In this paper the definition and a solution approach to the Vehicle Routing Problem with Perishable Goods is presented. The approach includes a procedure how historical weather data is used to predict demands and driving times. Its run time and solution quality is evaluated on different data sets given by the MOPTA Competition 2018.
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This work was done in the Research Campus MODAL funded by the German Ministry of Education and Research (BMBF).
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Grimm, B., Borndörfer, R., Olthoff, M. (2020). A Solution Approach to the Vehicle Routing Problem with Perishable Goods. In: Neufeld, J.S., Buscher, U., Lasch, R., Möst, D., Schönberger, J. (eds) Operations Research Proceedings 2019. Operations Research Proceedings. Springer, Cham. https://doi.org/10.1007/978-3-030-48439-2_50
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DOI: https://doi.org/10.1007/978-3-030-48439-2_50
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