Branch-price-and-cut for trucks and drones cooperative delivery

Lu Zhen, Jiajing Gao, Zheyi Tan, Shuaian Wang, Roberto Baldacci

Research output: Journal article publicationJournal articleAcademic researchpeer-review

19 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)271-287
Number of pages17
JournalIISE Transactions
Volume55
Issue number3
DOIs
Publication statusPublished - Mar 2023

Keywords

  • branch-price-and-cut
  • Collaborative delivery
  • drones
  • route optimization

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering

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