Vehicle Routing with Heterogeneous Time Windows
Petra Mutzel,
Tim Niemann (),
Lukas Schürmann,
Sebastian Stiller and
Andreas M. Tillmann
Additional contact information
Petra Mutzel: Universität Bonn
Tim Niemann: Technische Universität Braunschweig
Lukas Schürmann: Universität Bonn
Sebastian Stiller: Technische Universität Braunschweig
Andreas M. Tillmann: Technische Universität Braunschweig
Chapter Chapter 21 in Operations Research Proceedings 2022, 2023, pp 171-177 from Springer
Abstract:
Abstract We consider a novel variant of the heterogeneous vehicle routing problem (VRP) in which each customer has different availability time windows for every vehicle. In particular, this covers our motivating application of planning daily delivery tours for a single vehicle, where customers can be available at different times each day. The existing literature on heterogeneous VRPs typically distinguishes properties of the vehicle fleet such as costs or capacities, but apparently, windows of customers have only been regarded in a homogeneous fashion thus far. To solve the problem, we employ a branch-and-price framework based on a set partitioning formulation together with a parallelizable labeling algorithm. The heterogeneous time window structure yields notable computational gains by allowing to decompose the pricing problem as well as to utilize a customer-vehicle assignment branching rule. We show that this branching rule leads to more balanced search trees than the usual arc flow branching, and demonstrate its efficiency in numerical experiments.
Keywords: Vehicle routing problem; Heterogeneous time windows; Branch and price (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnopch:978-3-031-24907-5_21
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DOI: 10.1007/978-3-031-24907-5_21
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