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Design of incomplete hub location-routing networks in an intra-city metro logistics system

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  • Qing-Mi Hu
  • Shihao Guo

Abstract

This paper addresses the design of incomplete hub location-routing networks in an intra-city metro logistics system, in which flows of mail and parcels are exchanged among customers via the integrated ground road and underground metro transport modes. The network design is modelled as a two-stage optimisation decision. In the first stage, candidate hubs are determined by an improved K-means clustering algorithm and the E-TOPSIS model. In the second stage, a mixed-integer programming formulation is proposed to determine hub locations, demand allocation, metro route selection, and ground distribution routes. Moreover, to tackle large-scale instances, a hybrid heuristic algorithm based on Tabu search and adaptive large neighbourhood search is proposed, and extensive numerical experiments with randomly generated instances are conducted to validate the effectiveness of model and algorithm. Finally, we present a realistic case study on the Shanghai metro in China, and analyse the impact of different parameters on network configurations. [Submitted: 17 June 2024; Accepted: 4 December 2024]

Suggested Citation

  • Qing-Mi Hu & Shihao Guo, 2025. "Design of incomplete hub location-routing networks in an intra-city metro logistics system," European Journal of Industrial Engineering, Inderscience Enterprises Ltd, vol. 20(4), pages 590-652.
    • Handle: RePEc:ids:eujine:v:20:y:2025:i:4:p:590-652
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