Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/99079
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Title: Branch-price-and-cut for trucks and drones cooperative delivery
Authors: Zhen, L
Gao, J
Tan, Z
Wang, S 
Baldacci, R
Issue Date: 2023
Source: IISE transactions, 2023, v. 55, no. 3, p. 271-287
Abstract: The truck and drone-based cooperative model of delivery can improve the efficiency of last mile delivery, and has thus increasingly attracted attention in academia and from practitioners. In this study, we examine a vehicle routing problem and apply a cooperative form of delivery involving trucks and drones. We propose a mixed-integer programming model and a branch-price-and-cut-based exact algorithm to address this problem. To reduce the computation time, we design several acceleration strategies, including a combination of dynamic programming and calculus-based approximation for the pricing problem, and various effective inequalities for the restricted master problem. Numerical experiments are conducted to validate the effectiveness and efficiency of the proposed solution.
Keywords: Branch-price-and-cut
Collaborative delivery
Drones
Route optimization
Publisher: Taylor & Francis
Journal: IISE transactions 
ISSN: 2472-5854
EISSN: 2472-5862
DOI: 10.1080/24725854.2022.2060535
Rights: © 2022 "IISE"
This is an Accepted Manuscript of an article published by Taylor & Francis in IISE Transactions on 13 May 2022 (published online), available at: http://www.tandfonline.com/10.1080/24725854.2022.2060535.
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