Skip to main content

Modelling and Analysis of Hub-and-Spoke Networks under Stochastic Demand and Congestion

Azizi, Nader, Vidyarthi, Navneet, Chauhan, Satyaveer S. (2018) Modelling and Analysis of Hub-and-Spoke Networks under Stochastic Demand and Congestion. Annals of Operation Research, 264 (1-2). pp. 1-40. ISSN 0254-5330. E-ISSN 1572-9338. (doi:10.1007/s10479-017-2656-3) (KAR id:64084)

This is the latest version of this item.

PDF Author's Accepted Manuscript
Language: English
Download (512kB) Preview
[thumbnail of Azizi et al (ANOR-H&S Congestion)-Pre-print version.pdf]
This file may not be suitable for users of assistive technology.
Request an accessible format
Official URL


Motivated by the strategic importance of congestion management, in this paper we present a model to design hub-and-spoke networks under stochastic demand and congestion. The proposed model determines the location and capacity of the hub nodes and allocate non-hub nodes to these hubs while minimizing the sum of the ?xed cost, transportation cost and the congestion cost. In our approach, hubs are modelled as spatially distributed M/G/1 queues and congestion is captured using the expected queue lengths at hub facilities. A simple transformation and a piecewise linear approximation technique are used to linearize the resulting nonlinear model. We present two solution approaches: an exact method that uses a cutting plane approach and a novel genetic algorithm based heuristic. The numerical experiments are conducted using CAB and TR datasets. Analysing the results obtained from a number of problem instances, we illustrate the impact of congestion cost on the network topology and show that substantial reduction in congestion can be achieved with a small increase in total cost if congestion at hub facilities is considered at the design stage. The computational results further confirm the stability and e?ciency of both exact and heuristic approaches.

Item Type: Article
DOI/Identification number: 10.1007/s10479-017-2656-3
Uncontrolled keywords: Hub-and-spoke, congestion, cutting plane approach, genetic algorithm
Subjects: H Social Sciences > HD Industries. Land use. Labor > HD29 Operational Research - Applications
Divisions: Divisions > Kent Business School - Division > Kent Business School (do not use)
Depositing User: Nader Azizi
Date Deposited: 19 Oct 2017 10:33 UTC
Last Modified: 16 Feb 2021 13:49 UTC
Resource URI: (The current URI for this page, for reference purposes)

Available versions of this item

  • Depositors only (login required):


Downloads per month over past year