Hub relay network design for daily driver routes

Zhengyang Hu, Ronald G. Askin, Guiping Hu

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Hub-based relay networks for long haul trucking offer an opportunity to improve the work–life balance of drivers while simultaneously supporting faster delivery through near-continuous flow of containers from source to destination. In this paper, we develop a model for deciding hub location and sizing along with the routing of loads. Costs of hub construction and operation, transportation and penalties for multi-day driver trips are included. Both deterministic and two-stage stochastic programming models have been formulated in this paper. The goal is to determine the optimal hub and route decisions so that overall cost is minimised. A case study on the highway network for the Western United States demonstrates the computational tractability of the approach along with the importance of considering demand uncertainty.

Original languageEnglish (US)
Pages (from-to)6130-6145
Number of pages16
JournalInternational Journal of Production Research
Volume57
Issue number19
DOIs
StatePublished - Oct 2 2019

Fingerprint

Stochastic programming
Containers
Costs
Network design
Hub
Uncertainty
Penalty
Trucking
Work-life balance
Destination
Sizing
Container
Hub location
Routing
Demand uncertainty

Keywords

  • network design
  • physical internet
  • stochastic programming
  • truckload shipments
  • valid inequalities

ASJC Scopus subject areas

  • Strategy and Management
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering

Cite this

Hub relay network design for daily driver routes. / Hu, Zhengyang; Askin, Ronald G.; Hu, Guiping.

In: International Journal of Production Research, Vol. 57, No. 19, 02.10.2019, p. 6130-6145.

Research output: Contribution to journalArticle

Hu, Zhengyang ; Askin, Ronald G. ; Hu, Guiping. / Hub relay network design for daily driver routes. In: International Journal of Production Research. 2019 ; Vol. 57, No. 19. pp. 6130-6145.
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