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    The cost of carrier consistency: Last-mile delivery by vehicle and drone for subscription-based orders

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    Date
    2024-01-01
    Author
    El-Adle, Amro M.
    Ghoniem, Ahmed
    Haouari, Mohamed
    Metadata
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    Abstract
    We investigate a deterministic last-mile delivery problem in which a firm delivering scheduled orders determines a subset of customers to be prioritized for drone delivery, relegating the rest to vehicle delivery. The vehicle and drone deliver in tandem over a planning horizon. The problem is amenable to a multi-day Traveling Salesman Problem with Drone, with consistency in the assignment of customers to each carrier across all days. We develop a mixed-integer program (MIP) that yields provably optimal solutions for instances having up to 40 customers over a 6-day horizon. We also devise a heuristic underpinned by the MIP to effectively and accurately prioritize customers for drone delivery. A computational study involving instances with up to 150 customers ordering over 6 days shows the matheuristic often matching the results of the proposed MIP, and also reveals a logistical burden of less than 0.5% on average over a solution lacking carrier consistency.
    URI
    https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85159358019&origin=inward
    DOI/handle
    http://dx.doi.org/10.1080/01605682.2023.2210604
    http://hdl.handle.net/10576/59697
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    • Mechanical & Industrial Engineering [‎1499‎ items ]

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