Probabilistic time-dependent vehicle routing problem
Tomáš Režnar (),
Jan Martinovič (),
Kateřina Slaninová (),
Ekaterina Grakova () and
Vít Vondrák ()
Additional contact information
Tomáš Režnar: VŠB - Technical University of Ostrava
Jan Martinovič: VŠB - Technical University of Ostrava
Kateřina Slaninová: VŠB - Technical University of Ostrava
Ekaterina Grakova: VŠB - Technical University of Ostrava
Vít Vondrák: VŠB - Technical University of Ostrava
Central European Journal of Operations Research, 2017, vol. 25, issue 3, No 3, 545-560
Abstract:
Abstract The probabilistic time-dependent vehicle routing problem is presented in this paper. It is a novel variant of the vehicle routing problem. The variant is a problem of finding optimal routes for a fleet of vehicles visiting customers in order to proceed delivery or pick-up. All customers must be visited in designated times with given probabilities and services must begin within the given time windows. Each vehicle has a given capacity, which must not be exceeded. The travel time between each two locations is dependent on a vehicle departure time. The paper also contains examples and solution results of testing data sets using the adaptive large neighbourhood search algorithm.
Keywords: Vehicle routing; Probabilistic time-dependent vehicle routing problem; Probability of arrival (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (4)
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Persistent link: https://EconPapers.repec.org/RePEc:spr:cejnor:v:25:y:2017:i:3:d:10.1007_s10100-016-0459-2
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DOI: 10.1007/s10100-016-0459-2
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