Vehicle assignment in site-dependent vehicle routing problems with split deliveries
Mikhail V. Batsyn (),
Ekaterina K. Batsyna,
Ilya S. Bychkov and
Panos M. Pardalos
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Mikhail V. Batsyn: National Research University Higher School of Economics
Ekaterina K. Batsyna: National Research University Higher School of Economics
Ilya S. Bychkov: National Research University Higher School of Economics
Panos M. Pardalos: National Research University Higher School of Economics
Operational Research, 2021, vol. 21, issue 1, No 15, 399-423
Abstract In this paper we consider the problem of vehicle assignment in heterogeneous fleet site-dependent Vehicle Routing Problems (VRP) with split deliveries. In such VRP problems vehicles can have different capacities, fixed and travel costs, and site-dependency constraints limit for every customer a set of vehicles, which can serve it. The Vehicle Assignment Problem (VAP) arises in heuristic and exact algorithms, when vehicles are assigned to all customers or one customer is added to the current vehicle route. The VAP objective is to minimize the total assignment cost while the cost of assigning a vehicle to a customer is computed in some heuristic way. Without split deliveries, when a delivery to a customer cannot be split between two vehicles, the VAP problem is modeled in literature as the Generalized Assignment Problem. We demonstrate that allowing split deliveries reduces the VAP to the Hitchcock Transportation Problem, which can be efficiently solved with Transportation Simplex Methods. We also consider a special case, which is not rare in practice, when all customers are partitioned into classes, where customers have the same set of vehicles able to serve them, and the vehicle sets for these classes form a sequence of nested sets. We show that in this case if the cost per demand unit of assigning a vehicle to a customer depends only on the vehicle, then the VAP problem can be solved by a linear algorithm.
Keywords: Vehicle assignment; Site-dependent; Split deliveries (search for similar items in EconPapers)
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